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Shadow IT

Shadow IT refers to the use of information technology systems, devices, software, applications, and services within an organization without the explicit approval or oversight of the central IT department.^[1]^[2] This practice often arises when employees or business units seek faster, more flexible solutions to meet operational needs, bypassing traditional IT procurement and governance processes to adopt tools like cloud services, collaboration apps, or personal devices.^[3] While shadow IT has been a recognized phenomenon since the early 2000s, its prevalence has surged with the rise of remote work, consumer-grade technologies, and the rapid adoption of software-as-a-service (SaaS) platforms.^[4] The adoption of shadow IT is widespread, with a 2023 Gartner report finding that 41% of employees acquire, modify, or create technology outside IT's visibility and oversight as of 2022, a figure projected to reach 75% by 2027.^[5] This can drive innovation and agility, enabling quicker problem-solving and access to specialized tools that formal IT processes might delay.^[6] However, it also introduces significant risks, including heightened exposure to cybersecurity threats, data breaches, and compliance violations, as these tools often lack enterprise-grade security controls and visibility.^[3] For instance, according to the 2024 IBM Cost of a Data Breach Report, breaches involving shadow data have been shown to increase identification and containment times by 26% and 20%, respectively, leading to elevated costs averaging hundreds of thousands of dollars more per incident.^[7] In large enterprises, shadow IT can represent 30-40% of total IT expenditures, underscoring the need for balanced governance strategies that harness its benefits while mitigating dangers.^[8]

Definition and Overview

Definition

Shadow IT refers to the use of information technology systems, software, hardware, or services by employees, departments, or business units without the authorization, oversight, or management of the organization's central IT department.^[9] This practice typically arises when users adopt tools to address immediate business needs that official IT processes cannot fulfill quickly enough, resulting in technology deployments outside formal procurement, security, and compliance protocols.^[2] Unlike formally approved IT initiatives, shadow IT operates in parallel to sanctioned systems, often evading visibility into the organization's overall technology landscape.^[10] A key distinction exists between shadow IT and related concepts such as rogue IT and citizen development. Rogue IT is a subset of shadow IT characterized by intentionally covert digital activity that is potentially dangerous to the organization, whereas shadow IT more broadly encompasses non-malicious unauthorized uses driven by operational efficiency.^[11] In contrast, citizen development refers to end users building applications using IT-sanctioned low-code or no-code platforms under governance guidelines, transforming potentially unmanaged innovation into controlled contributions rather than hidden operations.^[12] Shadow IT manifests in various types, including unauthorized software applications, such as file-sharing tools or collaboration platforms installed without approval; hardware like personal devices brought into the workplace for business tasks; and cloud-based services, particularly software-as-a-service (SaaS) offerings accessed via personal accounts, as well as emerging shadow AI tools like generative AI applications used without approval.^[13]^[14] These types encompass both on-premises solutions, such as locally installed programs bypassing IT deployment standards, and cloud-based ones, like ad-hoc subscriptions to external platforms that integrate with corporate data without procurement review.^[2] The scope of shadow IT thus extends across the full spectrum of technology adoption, highlighting its potential to proliferate undetected in hybrid environments.^[10]

Key Characteristics

Shadow IT is fundamentally defined by its circumvention of central IT governance, where employees or departments deploy technologies without formal approval or oversight from the organization's IT team. This unauthorized adoption often stems from the need to address urgent operational gaps, resulting in tools that operate independently of established enterprise protocols. A core trait is the lack of integration with official systems, which can create data silos and compatibility issues as these solutions proliferate.^[2]^[15] These practices typically begin on a small scale—such as an individual downloading a productivity app—and expand informally through word-of-mouth adoption within teams, evading systematic review. Indicators of shadow IT include spikes in unusual network traffic to unmonitored domains, detection of unlicensed software installations, and employee dependence on personal devices or cloud services for core work tasks. Such signs highlight the hidden nature of these deployments, which remain invisible to IT until they generate detectable patterns.^[16]^[10] The boundaries of shadow IT distinguish it from approved decentralized IT, such as departmental servers managed under organizational oversight, by excluding any formally sanctioned initiatives. Hybrid scenarios arise when shadow tools are initially unauthorized but later identified and partially incorporated into IT frameworks. In the 2020s, shadow IT has shifted predominantly toward software-as-a-service (SaaS) platforms, with studies as of 2025 indicating that up to 65% of SaaS applications are unauthorized; notably, 75% of employees are expected to acquire, modify, or create technology, including unauthorized cloud accounts, outside IT visibility by 2027.^[17]^[5]^[2]

Historical Development

Origins

The phenomenon of shadow IT traces its roots to the 1980s, when the introduction of affordable personal computers, such as the IBM PC released in 1981, enabled employees in large organizations to bypass the centralized mainframe computing environments that dominated corporate IT at the time. Mainframes, while powerful, were expensive, required specialized access, and were managed exclusively by IT departments, often resulting in bottlenecks for end-users seeking quick data processing or analysis. Employees began acquiring and using PCs independently for tasks like spreadsheets and word processing, effectively creating unauthorized IT systems outside official oversight.^[18] A prominent early instance occurred at Bank of America between 1981 and 1983, where staff members secretly purchased and deployed personal computers to handle routine operations more efficiently, without approval from the central IT team. This unauthorized adoption spread rapidly across departments, demonstrating the practical appeal of personal computing and eventually forcing the organization to integrate these tools into its formal infrastructure after the fact. The case exemplified how shadow IT could emerge spontaneously in response to technological availability, highlighting the tension between user needs and institutional controls. These early practices were primarily driven by frustrations with the rigid, mainframe-centric IT structures prevalent in the 1970s and 1980s, where central IT departments often imposed long wait times for approvals, limited customization, and high costs for even minor changes. Employees, particularly in business units, sought greater autonomy to accelerate workflows, leading to the covert use of personal hardware and software as a workaround. This shift reflected broader organizational dynamics, where centralized IT models prioritized stability and security but stifled agility in fast-evolving business environments.^[19] The term "shadow IT" itself was coined in the early 2000s to formalize the description of these unauthorized practices, though the underlying behaviors had been observed for decades. By the late 1990s, industry analysts began drawing attention to the issue in reports, framing it as an inevitable reaction to overly centralized IT governance and estimating that such unofficial spending could represent a significant portion of overall IT budgets—up to 10% in some firms. This recognition, particularly from firms like Gartner, underscored shadow IT as a symptom of deeper misalignment between IT capabilities and business demands, prompting early discussions on governance strategies.^[4]^[20]

Evolution

During the 1990s and early 2000s, Shadow IT transitioned from rudimentary hardware solutions to more pervasive software practices, propelled by the explosive growth of internet connectivity and personal computing. Employees increasingly used unauthorized physical devices like USB drives for data portability and storage, circumventing central IT restrictions to enhance workflow efficiency. This period saw a notable shift toward software-based shadow activities, such as sharing files via email attachments, which allowed rapid information exchange but introduced unsecured data flows outside organizational oversight. By the late 1990s, Shadow IT accounted for approximately 10% of enterprise IT expenditures, reflecting its growing scale amid misalignments between business demands and rigid IT structures.^[21]^[22]^[23] The 2010s ushered in the cloud computing era, dramatically expanding Shadow IT through the proliferation of Software as a Service (SaaS) platforms and Bring Your Own Device (BYOD) policies. Employees began adopting unauthorized SaaS applications, such as Google Workspace, to address gaps in official tools, often without IT visibility. BYOD initiatives, gaining traction around 2010, inadvertently enabled this by permitting personal devices on corporate networks, blurring lines between approved and rogue technologies. A key milestone was the 2012 French survey of 129 IT managers, which identified Excel macros as the most common shadow application at 19%, followed by standalone software (17%) and cloud solutions (16%), highlighting the diversity of unauthorized tools.^[24]^[25]^[26] In the 2020s, shadow SaaS has dominated, intensified by the COVID-19 pandemic's push toward remote work, where employees rapidly deployed unapproved collaboration tools to maintain productivity. This acceleration exposed organizations to heightened risks, as remote setups prioritized speed over security, leading to widespread adoption of unauthorized cloud services. A 2021 Gartner report indicated that 41% of employees outside of IT were customizing or building technology solutions, highlighting the extent of shadow IT activities.^[27] Concurrently, efforts to formalize Shadow IT have grown through low-code and no-code platforms, which empower non-IT users to build compliant applications, potentially transforming rogue practices into sanctioned innovations.^[28]^[29]

Causes and Drivers

Employee Motivations

Employees often initiate Shadow IT usage to address immediate productivity needs, particularly when official tools fail to meet tight deadlines or workflow demands. A 2024 study highlighted that 80% of employees adopt unauthorized technologies primarily for convenience and efficiency gains, believing these tools enable faster task completion compared to approved systems.^[30] This motivation stems from the pressure to deliver results quickly, where delays in accessing suitable software can hinder performance. Specific unmet needs further drive individual adoption, including the desire for user-friendly interfaces that non-technical staff can navigate without extensive training. For instance, employees in marketing or sales roles may prefer intuitive apps over complex enterprise software that requires steep learning curves. Additionally, the rise of remote work has amplified demands for flexible tools that support collaboration across distributed teams, such as cloud-based file sharing or video platforms that integrate seamlessly with personal devices. The surge in generative AI tools has further driven shadow IT, with 75% of workers using unsanctioned AI for productivity gains, as of 2025.^[31] To circumvent lengthy approval processes, workers frequently bypass bureaucratic IT requests, with 38% citing slow departmental response times as a key frustration leading to self-initiated solutions.^[17]^[32]^[33] Behaviorally, employees exhibit risk-taking tendencies when personal efficiency outweighs perceived policy constraints, often beginning with low-commitment actions like free trials of popular applications. Tools such as Slack for team communication exemplify this, where users start with trial versions to test functionality before full integration into workflows, rationalizing the choice as a pragmatic shortcut. This pattern reflects a "performance-driven rule bending" mindset, where individuals prioritize outcomes over strict adherence, drawing on habits or client-specific requirements to justify deviations.^[34]^[35] Psychologically, Shadow IT appeals through a sense of empowerment via self-service options, allowing workers—especially in creative or dynamic roles—to exercise autonomy and competence in tool selection. Psychologically empowered employees, feeling confident in their decision-making, view unauthorized usage as a legitimate way to enhance their impact and meaning in tasks, often believing it aligns with broader organizational goals. This self-determination fosters a proactive approach, where bypassing restrictions is seen not as defiance but as an enabling factor for personal and professional efficacy.^[36]^[37]

Organizational Factors

Organizational factors within companies significantly contribute to the emergence of shadow IT by creating systemic barriers that prevent IT departments from meeting business needs effectively. Limitations in IT operations, such as slow procurement processes and rigid policies, often force departments to seek unauthorized alternatives to maintain productivity. For instance, burdensome approval workflows can delay access to essential tools, leading business units to bypass IT entirely. By 2027, Gartner predicts that 75% of employees will acquire, modify, or create technology without IT oversight, illustrating the ongoing trend driven by these inefficiencies.^[5] Rigid policies that prioritize control over flexibility further stifle innovation, exacerbating the divide between IT and other organizational functions.^[2] Resource constraints in IT teams compound these issues, as underfunded departments struggle to provide timely and tailored solutions. In many large enterprises, IT budgets are insufficient to support the diverse and rapidly evolving demands of business units, resulting in a reliance on external, unapproved services. Gartner estimates that 30-40% of IT spending in large organizations occurs outside formal IT channels, highlighting the scale of this disconnect.^[9] This under-resourcing not only delays responses to user needs but also leads to fragmented technology adoption across the organization. Cultural elements, particularly in siloed departments, foster an environment where autonomy trumps collaboration, encouraging shadow IT as a means to achieve departmental goals. Large enterprises often operate with isolated teams that prioritize speed and independence, viewing IT as a bottleneck rather than a partner. This silo mentality results in duplicated efforts and inconsistent tool usage, as departments independently adopt solutions without cross-functional alignment. By 2027, Gartner predicts that 75% of employees will acquire, modify, or create technology without IT's knowledge, often due to these cultural barriers and the consumerization of IT.^[5] Policy gaps, including the absence of clear guidelines on acceptable tools and usage, further enable shadow IT proliferation. Without explicit rules defining boundaries for technology adoption, employees interpret ambiguities in ways that favor convenience over compliance. This lack of transparency in procurement and oversight creates opportunities for unauthorized tools to take root, amplifying risks across the organization. As noted by IBM, insufficient visibility into device and software usage hinders enforcement, allowing policy voids to persist.^[2]

Benefits

Innovation and Agility

Shadow IT fosters innovation by empowering employees to experiment with unauthorized tools and applications, often leading to the development of novel workflows that address specific departmental needs. For instance, early adoption of collaboration platforms such as Slack and Dropbox by non-IT teams enabled seamless file sharing and real-time communication, bypassing rigid corporate systems and sparking creative problem-solving.^[32]^[38] A 2016 study based on interviews with 15 IT executives and a focus group of 65 CIOs found that shadow users contribute significantly to organizational innovation by creating tailored solutions, such as custom apps that automate repetitive tasks previously handled manually.^[39] This experimental approach enhances organizational agility, allowing for quicker deployment of technologies compared to formal IT approval processes, which can delay responses to dynamic business needs like market shifts or remote work demands. Shadow IT enables "anytime, anywhere" access through cloud services and mobile apps, facilitating rapid adaptation without waiting for centralized procurement.^[40] According to a 2024 ISACA report, this agility promotes faster experimentation and iteration, helping organizations stay competitive in fast-paced environments.^[41] As a form of positive disruption, shadow IT often prompts formal IT departments to improve their offerings in response to employee-driven initiatives. A 2021 Gartner peer community poll revealed that 85% of IT professionals agree shadow IT increases innovation, highlighting its role in challenging outdated processes and inspiring enhancements.^[42] Over the long term, valuable shadow IT tools can be identified and officially integrated, as seen with platforms like Slack, which began as unauthorized deployments but evolved into enterprise standards, ultimately boosting overall competitiveness.^[33]

Productivity and Cost Savings

Shadow IT enables employees to select tools that align closely with their individual workflows, often resulting in substantial productivity gains. A 2019 survey of 1,000 U.S. IT professionals conducted by Entrust found that 97% believe employees are more productive when using their preferred applications and devices, as these tools reduce friction in routine tasks and enhance overall efficiency.^[43] This sentiment is echoed in broader industry observations, where unauthorized tools allow quicker adaptation to specific needs, such as collaboration or data analysis, without waiting for formal IT approvals. In terms of cost aspects, shadow IT frequently involves free or low-cost alternatives that bypass expensive enterprise solutions, providing immediate financial relief for departments. For instance, employees may opt for Gmail or Google Drive instead of costly corporate email and storage systems, which can lower upfront licensing and implementation expenses. According to analysis by Rippling, these shadow tools often feature accessible pricing tiers that enable small teams to operate without straining organizational budgets.^[32] Additionally, by shifting responsibility for peripheral applications to end-users, shadow IT frees IT departments to concentrate on core infrastructure and strategic initiatives. This informal handling of non-critical needs reduces the volume of support tickets related to minor tools, allowing IT resources to be allocated more effectively toward mission-critical systems and security. Entrust's survey further supports this dynamic, noting that 77% of IT leaders see potential for competitive advantages through better collaboration on such decentralized tech usage.^[43] Empirical data underscores these advantages, with 80% of employees adopting shadow IT primarily for convenience and enhanced productivity, as reported in a 2024 Forbes analysis of workplace trends. This high adoption rate contributes to indirect savings, as departments leverage economical options that avoid the full procurement cycle, potentially optimizing budgets by utilizing underutilized or no-cost resources.^[30]

Risks and Drawbacks

Security Vulnerabilities

Shadow IT introduces significant security vulnerabilities by circumventing established organizational safeguards, exposing sensitive information to unauthorized access and external threats. Unauthorized applications and devices often lack robust encryption and data protection measures, resulting in heightened risks of data exposure and breaches. For instance, sensitive data stored, accessed, or transmitted through unsecured shadow IT tools can lead to leaks without proper backups or recovery protocols. According to IBM's 2024 Cost of a Data Breach Report, 35% of data breaches involved unmanaged "shadow data" sources, which are not properly classified or protected, contributing to average breach costs of USD 4.88 million and extended detection times of 292 days.^[44] Additionally, research indicates that 41% of employees use unauthorized SaaS applications, many of which remain vulnerable due to inadequate security configurations. Malware and phishing threats are amplified by shadow IT, as personal devices and unvetted tools bypass enterprise antivirus and monitoring systems. Employees adopting these resources without IT oversight introduce entry points for malicious software, including ransomware, often through weak credentials or misconfigurations. Shadow IT tools exhibit poor security hygiene, lacking integration with organizational defenses, which heightens the risk of infection vectors like phishing campaigns targeting unsecured apps. A 2022 analysis by Cequence found that 31% of malicious API requests—totaling 5 billion incidents—targeted shadow APIs, underscoring how these hidden endpoints serve as conduits for malware propagation. Access control deficiencies in shadow IT create critical blind spots in identity management, exacerbating insider threats and unauthorized data exfiltration. Without centralized oversight, employees can grant excessive permissions to third-party apps, bypassing policies and enabling careless or malicious actors to steal sensitive information. For example, disgruntled insiders may exploit shadow systems to evade detection, while broad OAuth grants in unsanctioned cloud services risk violating data residency rules. Netskope's research reveals that 97% of cloud applications in enterprises qualify as shadow IT, often lacking proper access controls and increasing credential theft vulnerabilities. This fragmentation amplifies insider risks, as 65% of remote workers rely on such tools, per a 2021 Beezy report. These vulnerabilities contribute substantially to overall breach incidents, with cybersecurity analyses linking shadow IT to a significant portion of organizational compromises. IBM reports that 82% of data breaches in 2023 involved cloud-stored data, much of which stems from unmanaged shadow environments. Furthermore, 55% of companies faced SaaS security incidents in the past two years, highlighting the scale of risks from unauthorized tools. Organizations without centralized SaaS management are five times more susceptible to data loss or cyber events, according to Gartner. Emerging risks from shadow AI, the unauthorized use of AI tools, further compound these issues. As of 2025, IBM's Cost of a Data Breach Report indicates that 97% of AI-related breaches lack proper controls, with shadow AI incidents costing an average of USD 670,000 more than standard breaches due to undetected data exposure and model vulnerabilities.^[44]

Compliance and Integration Challenges

Shadow IT often leads to regulatory violations by enabling uncontrolled data flows that bypass established safeguards required by laws such as the General Data Protection Regulation (GDPR) and the Gramm-Leach-Bliley Act (GLBA).^[6] For instance, employees using unmonitored cloud storage services for sensitive customer data may inadvertently store information in non-compliant jurisdictions, violating GDPR's data residency and protection rules, which mandate explicit consent and security measures for personal data processing.^[45] Similarly, in the financial sector, shadow IT tools handling nonpublic personal information without proper encryption or access controls can breach GLBA requirements, exposing organizations to civil penalties up to $100,000 per violation and potential criminal charges.^[46] These breaches arise because shadow IT operates outside IT oversight, making it difficult to enforce uniform compliance protocols across all data-handling activities.^[47] Integration challenges from shadow IT manifest as fragmented systems that create data silos and operational inefficiencies. Unsanctioned applications rarely interface seamlessly with approved enterprise systems, leading to duplicated data entry and disjointed workflows that hinder cross-departmental collaboration.^[6] For example, a marketing team adopting an unauthorized analytics tool may store customer insights separately from the central CRM, resulting in incomplete datasets and increased long-term costs for data reconciliation efforts.^[45] This fragmentation not only slows decision-making but also amplifies the risk of errors in reporting and analytics, as inconsistent data formats prevent automated integration.^[47] Governance gaps in shadow IT environments stem from the absence of centralized oversight, fostering inconsistent policy application across organizational units. Without IT involvement, departments implement ad-hoc controls that diverge from enterprise standards, such as varying authentication methods or data retention periods, which undermine overall policy coherence.^[6] This lack of uniformity complicates audits and exposes organizations to heightened compliance scrutiny, as regulators expect holistic governance rather than siloed approaches.^[47] In data-intensive settings, these gaps often result from business units circumventing slow central IT processes, leading to a proliferation of non-standardized solutions that evade formal review.^[45] The financial implications of these challenges include hidden support costs that can consume 10-20% of an organization's software budget through unmanaged SaaS duplication and remediation efforts.^[48] Organizations face additional expenses from integrating rogue systems or addressing compliance failures, such as fines and legal fees, which divert resources from core IT initiatives.^[6] Over time, the cumulative effect of these unmanaged expenditures erodes budget efficiency, with shadow IT often accounting for a significant portion of overlooked operational overhead.^[47]

Prevalence and Impact

Statistical Overview

Shadow IT has become a pervasive phenomenon in modern organizations, with estimates indicating that it accounts for 30% to 40% of IT spending in large enterprises.^[49] A 2014 Gartner forecast projected that by 2015, 35% of enterprise IT expenditures would be managed outside central IT budgets, highlighting early recognition of its scale.^[50] Research indicates that 41% of employees in 2022 installed and used applications beyond IT visibility, with Gartner predicting this will rise to 75% by 2027.^[51] Additionally, reports from Everest Group peg shadow IT at 50% or more of total IT spend in certain cases.^[52] Survey data further illustrates the prevalence and motivations behind shadow IT. A 2012 French survey of 129 IT managers identified Excel macros as the most common form of shadow IT, accounting for 19% of instances, followed by unauthorized software at 17% and cloud solutions at 16%.^[26] In more contemporary findings, approximately 80% of employees adopt shadow IT for convenience and productivity gains, often bypassing IT due to perceived inefficiencies in approved systems.^[30] These patterns reveal a consistent trend where non-sanctioned tools address immediate workflow needs, contributing to widespread usage. The growth of shadow IT has accelerated significantly over the past decade, driven by the proliferation of cloud services and remote work. This expansion is evidenced by reports from Everest Group, which peg shadow IT at 50% or more of total IT spend in certain cases.^[52] Measuring the true extent of shadow IT remains challenging due to its inherently hidden nature, leading to underreporting in traditional audits. Tools like cloud access security brokers (CASBs) help mitigate this by providing visibility into unauthorized cloud usage. Such technologies are essential for capturing the full scope, as employees frequently operate in silos, obscuring the aggregate impact on organizational resources and security. As of 2025, the rise of shadow AI—unapproved use of AI tools—has further complicated prevalence, with reports indicating 80% of companies show signs of unapproved AI activity.^[53]

Variations Across Sectors

Shadow IT manifests differently across industries, largely influenced by operational needs, regulatory pressures, and innovation demands. In technology and creative sectors, it tends to be more widespread as employees leverage unapproved tools to foster rapid prototyping and collaboration, often bypassing formal IT channels for speed. Regulated industries like finance and healthcare, however, experience lower but persistent levels due to compliance constraints; for instance, unauthorized cloud applications rank among the leading causes of cyberattacks in finance. In healthcare, shadow IT persists despite heightened scrutiny. Organizational size significantly affects shadow IT adoption. Small and medium-sized enterprises (SMEs) are more susceptible owing to constrained IT budgets and staffing. Larger enterprises grapple with amplified scale, where shadow IT constitutes 30-40% of overall IT expenditure, often stemming from decentralized departments deploying siloed solutions.^[49] Regional variations stem from differing regulatory landscapes. In Europe, the enforcement of GDPR since 2018 has imposed rigorous data governance, prompting organizations to implement tighter controls that curb shadow IT proliferation compared to the United States, where looser federal oversight allows for higher unchecked adoption in pursuit of operational efficiency. Sector-specific drivers further illustrate these patterns. In healthcare, shadow IT frequently involves the ad hoc adoption of telehealth apps by clinicians to enable quick virtual consultations, circumventing lengthy approval processes amid patient care demands. In manufacturing, workers often introduce unapproved IoT devices for real-time equipment monitoring and supply chain optimization, driven by the need to maintain production agility in resource-limited settings.

Examples

Historical Cases

One of the earliest documented cases of shadow IT occurred at Bank of America between 1981 and 1983, when employees began bringing personal computers into the workplace to address limitations in the bank's centralized mainframe systems. These devices were initially acquired covertly, with staff expensing them as office supplies to gain access to computing tools not provided by the official IT department.^[54] These historical incidents underscored the necessity for greater IT flexibility in response to user-driven innovation. Centralized models proved inadequate for handling the surge in end-user computing.^[55] While the cases initially caused disruptions through unmanaged compatibility issues and data silos, they ultimately fostered innovation by demonstrating the value of accessible technology, encouraging affected organizations to integrate user-initiated tools into formal strategies.^[56]

Contemporary Instances

In the cloud and SaaS era, unauthorized use of cloud storage services like Dropbox and OneDrive remains one of the most common instances of shadow IT, as employees opt for these platforms to streamline file sharing and collaboration. A 2024 analysis reveals that 97% of cloud applications in use within the average enterprise qualify as unauthorized shadow IT, often exposing sensitive data to potential leaks through unmonitored external servers.^[17] This practice persists due to the ease of access and familiarity of consumer-grade tools, which frequently bypass enterprise security protocols.^[57] The shift to remote work post-2020 has significantly amplified the adoption of unsanctioned collaboration tools such as Slack and Zoom, where employees independently set up accounts to maintain team connectivity without IT oversight. Shadow IT usage surged by 59% amid the rise of distributed workforces, as workers prioritized rapid deployment over formal approvals to sustain productivity during the pandemic transition.^[58] These tools, while enhancing real-time communication, often integrate poorly with corporate networks, creating visibility gaps for IT teams.^[59] Productivity applications including Google Docs and Trello exemplify contemporary shadow IT in project management, as users favor their user-friendly features for document editing and task tracking over sanctioned enterprise alternatives. Employees frequently turn to these SaaS options to accelerate workflows, resulting in an average of 129 unauthorized apps per organization as reported in 2024 SaaS security assessments.^[60] Such instances highlight how shadow IT fills perceived gaps in official tools but complicates data governance and compliance.^[13] By 2024, shadow AI tools like ChatGPT have emerged as a prominent example, with employees deploying them for internal tasks such as report generation and data analysis without authorization. A study from that year found that 50% of workers utilize unapproved AI tools, underscoring the challenge of regulating generative AI's rapid integration into daily operations.^[61] This trend, building on broader shadow IT patterns, amplifies concerns over data privacy as proprietary information is fed into external models.^[62]

Management and Governance

Detection Methods

Detecting Shadow IT requires a combination of technical tools and procedural approaches to uncover unauthorized technologies without disrupting business operations. Organizations employ these methods to gain visibility into hidden applications and services, addressing the security vulnerabilities they introduce.^[63] Network monitoring involves analyzing traffic patterns to identify unauthorized connections to cloud services or SaaS applications. Tools such as firewalls and intrusion detection systems scan for anomalous data flows, flagging unusual outbound traffic that may indicate shadow IT usage.^[64] Cloud Access Security Brokers (CASBs) enhance this by providing real-time visibility into cloud interactions, categorizing applications by risk level and blocking access to high-risk shadow IT instances.^[65] For example, CASBs like Microsoft Defender for Cloud Apps use discovery features to map out all connected apps and highlight unmanaged ones.^[66] User behavior analytics (UBA) examines patterns in employee activities to detect deviations that signal shadow IT adoption. By establishing baselines of normal login and application usage, UBA tools identify irregular access to unapproved services, such as sudden spikes in data uploads to external platforms.^[67] Security Information and Event Management (SIEM) systems integrate with UBA to aggregate logs from endpoints and networks, enabling comprehensive reviews of app interactions and alerting on potential insider-driven shadow IT.^[68] This approach helps correlate user actions with broader threat indicators, improving detection accuracy.^[69] Surveys and audits offer a human-centered method to reveal shadow IT through direct employee input and systematic inventories. Anonymous questionnaires ask workers about their tool usage, often uncovering applications like file-sharing services that evade technical scans.^[64] Software audits, including endpoint scans and license reviews, inventory installed applications to spot unlicensed or unauthorized software.^[70] These manual processes complement automated tools, providing qualitative insights into why shadow IT persists.^[71] Automated solutions leverage API integrations with cloud providers to achieve broad visibility into shadow IT ecosystems. By connecting to platforms like Google Workspace or Microsoft Azure, these systems pull usage data to map out unmanaged apps without relying on traffic analysis alone.^[72] Grip Security's 2025 SaaS Security Risks Report highlights that such integrations can detect 80-90% of initially unknown shadow applications, based on analysis of millions of user accounts.^[73] This method scales effectively for large enterprises, enabling proactive identification before risks escalate.^[74]

Mitigation Strategies

Organizations mitigate Shadow IT by developing clear policies that outline guidelines for tool approval and usage, ensuring alignment with security and compliance standards. These policies typically include structured approval processes where employees submit requests for new technologies, accompanied by documentation on their intended purpose and potential risks, allowing IT teams to evaluate them against predefined criteria. To encourage compliance without stifling productivity, many organizations implement fast-track mechanisms for low-risk applications, such as basic collaboration tools, which undergo expedited reviews to reduce delays and minimize the temptation to adopt unauthorized alternatives.^[75]^[76]^[77] A key strategy involves providing approved alternatives through IT-maintained catalogs of vetted tools that address common employee needs, thereby reducing reliance on unsanctioned software. For instance, enterprise versions of popular platforms like Slack can be offered via self-service portals, enabling quick access while enforcing security controls such as data encryption and access restrictions. These catalogs not only enhance visibility into tool usage but also help organizations optimize costs by consolidating licenses and preventing redundant shadow deployments.^[78]^[79] Education and cultural shifts play a crucial role in mitigation, with organizations delivering targeted training programs that inform employees about the risks and benefits of IT tools, promoting responsible adoption. Such initiatives often include workshops on data security threats and compliance requirements, fostering a culture where innovation is encouraged but channeled through approved channels. To support this, many firms establish "shadow IT-friendly" innovation sandboxes—isolated environments where employees can experiment with new technologies under IT oversight, ensuring safe testing without exposing core systems to vulnerabilities.^[80]^[81]^[82] Technological enablers further facilitate control, such as zero-trust architectures that verify every access request regardless of origin, effectively securing shadow tools by enforcing granular permissions and continuous monitoring. Complementing this, Platform as a Service (PaaS) solutions enable managed self-service provisioning, allowing users to deploy resources within governed boundaries. This reflects a broader trend toward integrated governance that balances agility with security.^[83]^[17]

Future Outlook

Emerging Technology Influences

The rapid adoption of artificial intelligence (AI) and generative AI (GenAI) technologies is poised to significantly exacerbate shadow IT practices, particularly through the unauthorized deployment of large language models (LLMs) for tasks such as data analysis and content generation. Employees increasingly turn to these tools to bypass slow internal processes, leading to risks like data leakage and compliance violations. According to Gartner, by 2027, 75% of employees will acquire, modify, or create technology outside IT's visibility—predominantly shadow AI—up from 41% in 2022, nearly doubling the prevalence of such unauthorized usage.^[84] This surge is driven by accessible consumer-grade LLMs, which enable rapid prototyping but often lack enterprise-grade security controls, amplifying vulnerabilities in sensitive workflows.^[85] The proliferation of Internet of Things (IoT) devices and edge computing further fuels shadow IT by introducing unmanaged endpoints, especially in hybrid work environments where personal devices serve as extensions of corporate networks. Workers frequently connect personal smart devices—such as wearables, home assistants, or edge-enabled laptops—to access work resources, creating "shadow IoT" ecosystems that evade centralized oversight.^[86] In hybrid setups, this trend is intensified as remote employees rely on BYOD (bring your own device) policies, with surveys indicating that 82% of companies have adopted such practices as of 2025, leading to a proliferation of unmonitored data flows at the network edge.^[87] These shadow endpoints complicate visibility and security, as edge computing decentralizes processing and increases the attack surface for malware or unauthorized data exfiltration.^[88] The rise of decentralized finance (DeFi) platforms, built on blockchain and decentralized applications (dApps), illustrates risks analogous to shadow IT in finance, operating as unregulated "shadow banking" systems that complicate regulatory oversight. Such systems process billions in value through peer-to-peer transactions, evading centralized controls and heightening concerns over money laundering and financial transparency.^[89]^[90] Looking toward 2025 and beyond, Gartner forecasts that Platform as a Service (PaaS) will dominate shadow IT management, with 70% of such instances governed through PaaS tools by 2025, enabling better integration of unauthorized apps into compliant frameworks.^[17] However, the advent of quantum computing introduces amplified risks, as advances by 2029 could render conventional encryption obsolete, exposing shadow IT systems—often reliant on weaker cryptographic standards—to decryption attacks and widespread data breaches.^[91] This convergence underscores the need for proactive post-quantum cryptography adoption to mitigate threats in ungoverned technology landscapes.^[92]

Evolving Organizational Approaches

As organizations navigate the persistent growth of Shadow IT, a notable shift is occurring from outright prohibition to models of tolerated innovation, where employee-initiated technologies are viewed as signals of unmet needs rather than threats. This evolution recognizes that strict bans often drive underground usage, with research showing that shadow IT applications constitute 42% of all company software in many enterprises.^[67] By treating shadow IT as an internal tech roadmap, companies can identify and integrate valuable tools, fostering collaboration between IT and business units to streamline approvals and reduce friction. For example, the rapid expansion of remote work has accelerated shadow IT adoption, prompting leaders to adapt policies that balance security with agility.^[93] Advanced governance mechanisms are becoming central to this adaptation, incorporating AI-driven policy enforcement and continuous monitoring to maintain visibility without stifling productivity. AI-powered tools, such as SaaS Security Posture Management (SSPM) platforms, automate the detection of misconfigurations and unauthorized apps in real time, enabling dynamic risk assessments across cloud environments.^[94] Similarly, Cloud Access Security Brokers (CASB) provide ongoing oversight of data flows and access patterns, addressing the fact that 85% of global businesses faced cyber incidents in the past two years, with 11% directly tied to shadow IT.^[67] These standards help enforce policies proactively, ensuring compliance while allowing for scalable innovation in hybrid setups. Cultural transformations are also key, with organizations launching citizen developer programs to empower non-technical employees in building solutions using low-code or no-code platforms under IT supervision. This approach channels shadow IT efforts into governed channels, distinguishing them from unsupervised activities and mitigating risks like data exposure from unvetted tools.^[95] By providing secure alternatives, such programs address user frustrations—such as the average employee's use of five file-sharing apps despite only one or two being approved—while promoting a culture of shared responsibility for technology adoption.^[95] In practice, these initiatives reduce bottlenecks, with IT teams gaining insights into business needs to offer tailored, compliant options. Looking ahead, these evolving approaches are projected to yield reduced risks through hybrid IT frameworks that integrate official and tolerated technologies, emphasizing proactive enablement over reactive controls. Torii's 2025 strategies advocate for SaaS Management Platforms to discover and onboard shadow tools swiftly, warning that unmanaged SaaS environments increase cyber incident susceptibility fivefold by 2027.^[76] Overall, with 83% of IT staff acknowledging personal use of unsanctioned apps, hybrid models promise enhanced security and efficiency by harnessing employee ingenuity within structured governance.^[76]

References

[1]
What is Shadow IT? Definition, Risks and Benefits Explained - Fortinet
Shadow IT refers to the use of information technology systems, devices, software, applications, and services without explicit IT department approval. Shadow IT ...
[2]
What Is Shadow IT? | IBM
Shadow IT is any information technology (IT) used by employees or end users without IT approval or oversight.
[3]
What is Shadow IT? Defining Risks & Benefits | CrowdStrike
Jul 10, 2024 · Shadow IT is the unauthorized use of any digital service or device that is not formally approved of and supported by the IT department.
[4]
Shadow IT - WalkMe - Digital Adoption Platform
Shadow IT history It is difficult to pinpoint the exact origin or the individual who coined the term “shadow IT.” The term has been in use since the early 2000 ...
[5]
Don't Let Shadow IT Put Your Business at Risk - Gartner
May 3, 2016 · According to Brian Lowans, principal research analyst at Gartner, these unsanctioned cloud services purchases are driving increased risks of data breaches and ...
[6]
Hidden risk of shadow data and shadow AI leads to higher breach ...
Breaches involving shadow data also took 26.2% longer to identify and 20.2% longer to contain, averaging 291 days. This inevitably resulted in higher breach ...
[7]
Definition of Shadow It - Information Technology Glossary - Gartner
Shadow IT refers to IT devices, software and services outside the ownership or control of IT organizations.Recommended Content For You · Decentralize Quality... · How To Manage Blended Teams...
[8]
What Is Shadow IT? - Cisco
Shadow IT is the use of IT-related hardware or software by a department or individual without the knowledge of the IT or security group within the organization.Missing: credible | Show results with:credible
[9]
Shadow IT, Rogue IT and IT Transformation: Be the Borg!
Jun 17, 2014 · Shadow IT and rogue IT typically refer to the tendency of users to go around IT to get something IT-related done.
[10]
Citizen Development: Reinventing the Shadows of IT - Gartner
Feb 2, 2012 · Citizen developers are end users who create business applications for consumption by others using corporate-IT-sanctioned development and runtime environments.Summary · Access Research · Gartner Research: Trusted...
[11]
Shadow IT Examples - Flexera
Examples of shadow IT include unsanctioned third-party software, apps and services, including cloud services and software-as-a-service (SaaS) applications.Risks Of Shadow It · Devices · Cloud Services And Saas...Missing: credible | Show results with:credible
[12]
What is Shadow IT? Will AI make this more challenging?
Sep 25, 2023 · Lack of integration: Shadow IT applications may not be well-integrated with the rest of the organization's systems, leading to data silos ...
[13]
Identifying Shadow IT: Techniques and Tools for Detecting ...
Jun 22, 2024 · Unusual Network Activity. One of the first indicators of Shadow IT is unusual network traffic. If you notice a spike in data usage or ...
[14]
Shadow IT vs Business Led IT: Risks & Benefits - Grip Security
Sep 25, 2025 · Shadow IT is the tech employees adopt without formal IT approval, typically to fill immediate productivity gaps. It's common because SaaS is ...Missing: boundaries | Show results with:boundaries
[15]
50 Shadow IT Statistics for Business and IT Leaders in 2024 | Auvik
Jan 29, 2024 · 41% of employees use technology IT can't see. A staggering 41% of employees are acquiring, modifying, or creating technology that IT isn't ...<|control11|><|separator|>
[16]
Shadow IT and the Cloud – An Ominous Partnership - TraitWare
Apr 14, 2022 · Shadow IT has evolved through many eras. The IBM PC democratized access to hardware, with many acquired and used by tech-savvy users in offices ...Missing: origins coined 2000s
[17]
Shadow IT: A detailed guide - ManageEngine
Shadow IT encompasses the use of hardware, software, and digital systems within an organization without the approval or knowledge of the central IT department.Missing: origins coined mainframes
[18]
An Examination of Shadow IT – JD Moore
Dec 11, 2017 · Pisello (2004) reported that in the late 1990s, Shadow IT spending was estimated to be 10% of a typical firm's formal IT budget, and from ...
[19]
An Examination of Shadow IT – Page 2 – JD Moore
Dec 11, 2017 · The “metaphor of the ledger” technique may have been a primary driver of decision makers in the late 1990s as Shadow IT first began to appear ...
[20]
What is shadow IT? - Examples, risks (+how to mitigate them)
Sep 20, 2025 · Shadow IT can be described as the consumption of services, systems or devices within an organization without the consent of the IT department.Missing: boundaries | Show results with:boundaries
[21]
Open source and the rise of Shadow IT - ECM Architect
Sep 5, 2006 · The 1990's were boom times for Shadow IT. Companies like Microsoft and Lotus offered platforms that business users could leverage to create ...
[22]
Shadow IT: The Dangers and How to Avoid them - AccessOwl Blog
Feb 15, 2025 · In 2010, cloud computing began to cast its long shadow over the perimeter. BYOD (bring your own device) became a movement, with staff using ...
[23]
What is Shadow IT? – The Risks and Benefits of Shadow IT - Forenova
Dec 28, 2022 · The popularization of the bring-your-own-device (BYOD) policy around 2010 saw employees connect their personal laptops and devices to the office ...
[24]
Shadow IT – A view from behind the curtain - ScienceDirect.com
Our study revealed that greynet, content apps, and utility tools are the most used shadow systems. This study offers important insights on the Shadow IT ...Missing: credible | Show results with:credible
[25]
COVID-19 Security Impact: Rise of Shadow IT
Employees use unauthorized remote access applications while working from home as their official VPN connection is slow / cumbersome. A team deploys a new ...Missing: 2020s | Show results with:2020s
[26]
COVID-19: The Unchecked Expansion of Shadow IT in 2020 - 6point6
With the majority of staff now working remotely, IT resilience and the operational practices of organisations are being tested globally. Learn more now.Missing: 2020s SaaS
[27]
What Is Shadow IT? Causes, Risks, and Examples - Wiz
Dec 24, 2024 · Shadow IT occurs when employees bypass security oversight to use unauthorized and unvetted technology. Research found that 41% of employees ...<|control11|><|separator|>
[28]
No. 1 Reason The 'Shadow IT' Trend Is Benefiting Careers But ...
One study found that 80% of company employees adopt “Shadow IT” for their convenience and productivity—they feel they can work more efficiently ...
[29]
Shadow IT Statistics: Key Facts to Learn in 2025 - Zluri
Gartner predicts that by 2025, 70% of Shadow IT will be managed using PaaS capabilities, indicating a shift towards more robust governance and security measures ...Statistics on Who Uses... · Security Concerns with... · Statistics of Shadow IT on...
[30]
What is shadow IT? Risks, benefits, and examples - Rippling
Aug 23, 2024 · The desire for better features and functionality: Employees may turn to shadow IT solutions when they feel that approved tools lack the features ...Missing: motivations | Show results with:motivations
[31]
The IT leader's guide to managing shadow IT - BetterCloud
May 5, 2025 · Remote employees generally want to remain productive, but working outside headquarters, they're more likely to bypass getting the IT ...
[32]
Shadow IT: The Hidden Risk Lurking Inside Your Business
Aug 26, 2025 · Messaging apps like WhatsApp or Slack not sanctioned by IT; Unapproved browser extensions or VPNs; “Free trial” software downloaded on a whim.
[33]
[PDF] An Evaluative Case Study of Shadow IT Mindsets Among Corporate ...
Abstract. This study aimed to explore the factors influencing employees to deploy what can be classified as shadow IT in a corporate context.
[34]
Shadow information security practices in organizations: The role of ...
Psychological empowerment comprises four dimensions: 1) self-determination, 2) competence, 3) impact, and 4) meaning. Self-determination refers to employees ...
[35]
Shadow information security practices in organizations: : The role of ...
Aug 6, 2025 · Shadow information security practices in organizations: : The role of information security transparency, overload, and psychological empowerment.
[36]
Make The Best Of Shadow It - Gartner
Jan 25, 2017 · Make the Best of Shadow IT · “ Create and increase the perception that IT is a trusted adviser that can be consulted on technical decisions”.Missing: 1990s | Show results with:1990s<|control11|><|separator|>
[37]
A Guide to Shadow IT: Risks, Challenges, and Examples - Metomic
Rating 9.2/10 (18) Shadow IT refers to the use of IT systems and applications without IT department approval, which can lead to security vulnerabilities. Common Shadow IT examples ...Missing: 2010s | Show results with:2010s<|separator|>
[38]
Influence of Shadow IT on Innovation in Organizations - ResearchGate
Nov 7, 2016 · The study offers novel insights on the role of Shadow users in the organizational innovation process and how they contribute to new innovations by using Shadow ...Missing: SOA | Show results with:SOA
[39]
[PDF] Shadow IT: Steroids for Innovation - CEUR-WS
Our study reveals that Shadow IT can be an important source of Innovation for organizations. Finally, our research brings new theoretical contributions for ...
[40]
2024 Volume 6 Navigating the Shadows - ISACA
Nov 1, 2024 · Nonpunitive employee surveys and interviews can provide insights into the types of shadow IT used and the motivations behind their adoption.
[41]
Shadow IT can increase innovation—agree or disagree? Let's hear ...
Oct 13, 2021 · Shadow IT can increase innovation—agree or disagree? Let's hear the reasons behind your answer. ; Strongly agree15% ; Agree70% ; Disagree13%.Missing: percentage | Show results with:percentage
[42]
IT Pros Believe Shadow IT Could Become a Competitive ... - Entrust
Organizational agility and communication key to solving Shadow IT, reports Entrust Datacard survey of 1000 US IT professionals.
[43]
From data mess to a data mesh | Deloitte Netherlands
Feb 13, 2023 · However, this resulted in non-compliant solutions – in other words shadow IT. ... Strong central governance to control end-to-end compliance ...
[44]
17 potential costs of shadow IT - TechTarget
Mar 13, 2024 · Addressing compliance ... Leach-Bliley Act or the Sarbanes-Oxley Act, could face legal and financial penalties if shadow IT causes noncompliance.
[45]
[PDF] Shedding Light on Shadow IT - Microsoft Download Center
... Shadow IT efforts are similar to Practice Driven efforts, they are in fact different. The key to differentiating Purpose Driven and Practice-Driven Shadow.
[46]
How Much Risk Does Shadow IT Really Pose? - Torii
When the average mid-market firm runs 291 hidden apps, roughly 1,700 secrets sit outside any SIEM rule or vault, waiting for the first phishing kit that asks ...<|separator|>
[47]
45+ Shadow IT Statistics for 2024 - Quandary Consulting Group
May 16, 2024 · Gartner found that shadow IT is between 30% and 40% of IT spending in enterprise organizations. And Everest Group predicts that it accounts for ...How Much Can Shadow It Cost... · Security Concerns With... · Who Uses Shadow It And Why?<|control11|><|separator|>
[48]
How to use a CASB to manage shadow IT - TechTarget
Apr 12, 2023 · A CASB, along with other resources -- among them a SIEM tool -- can also discover and identify activities that frequently underpin shadow IT.Missing: underreporting | Show results with:underreporting
[49]
What is Shadow IT - Bitdefender InfoZone
Understand Shadow IT: what it is, why it matters, and what to do when ... A notable case from the early 1980s is when Bank of America employees began ...
[50]
None
Below is a merged summary of the historical origins of Shadow IT based on the provided segments from Kirlappos' thesis (https://discovery.ucl.ac.uk/1521997/1/Kirlappos_thesis%20final.pdf) and related content. To retain all information in a dense and organized manner, I will use a table in CSV format for key details, followed by a narrative summary that consolidates additional context, quotes, and notes. This approach ensures comprehensive coverage while maintaining clarity.
[51]
[PDF] Practices for Improving the Coordination of Information Technology ...
The adoption of personal computers in the 1980s and 1990s required agencies to decentralize, establish networks, and ... Historically, this then led to “shadow IT ...
[52]
Decentralization Versus Centralization in IT Governance
Nov 1, 2012 · A Harvard Business School case on IT at Cisco describes a “shadow IT system” that grew up around unmet local demands for customized data and ...
[53]
Shadow IT: Combatting Hidden Risks to Your Attack Surface - ZeroFox
Nov 7, 2024 · The rise of shadow IT can be attributed to several factors, primarily the need for efficiency and frustration with rigid IT processes. Employees ...
[54]
What Is Shadow IT? 2024 Statistics & Solutions - JumpCloud
Jan 14, 2024 · Shadow IT is software or hardware that circumvents established IT practices and services. Usually, it is the result of employees or teams creating workarounds.
[55]
Remote, Rogue, and Risky: The Shadow IT Epidemic
Dec 19, 2024 · The sudden shift to remote work has led to a shadow IT explosion, posing serious security risks. Employees who piece together ad-hoc workarounds ...Missing: statistics | Show results with:statistics
[56]
2024 State of SaaS Security Report: Uncovering Hidden Risks - Reco
Discover hidden SaaS risks. Our 2024 State of SaaS Security Report reveals GenAI adoption, shadow apps, and compliance challenges. Download the report.Shadow Saas · Executive Summary · Featured Resources
[57]
Study Finds 50% of Workers Use Unapproved AI Tools - SecurityWeek
Apr 18, 2025 · An October 2024 study by Software AG suggests that half of all employees are Shadow AI users, and most of them wouldn't stop even if it was ...
[58]
2025 State of Shadow AI Report - Reco AI
Download the Reco 2024 report for key insights on managing unauthorized shadow SaaS and rapid GenAI adoption while strengthening your organization's SaaS ...Shadow Saas · Executive Summary · Featured ResourcesMissing: 2024 | Show results with:2024
[59]
Shadow IT Detection: How to Discover and Eliminate Risks - Zylo
Key methods for shadow IT discovery include: Network monitoring to detect unknown connections or cloud service use; Cloud Access Security Brokers (CASBs) to ...
[60]
Understanding Shadow IT: Risks, Detection and Best Practices - Blog
Aug 16, 2024 · Network Traffic Analysis: By monitoring network traffic, IT departments can detect anomalies that indicate the use of unauthorized applications.Missing: indicators | Show results with:indicators
[61]
Discover and manage Shadow IT - Microsoft Defender for Cloud Apps
Oct 22, 2024 · In this tutorial, you'll learn how to use Cloud Discovery to discover which apps are being used, explore the risk of these apps, configure policies.
[62]
Effective Shadow IT Management in 2025: Best Practices
Jun 27, 2025 · Discover best practices for managing shadow IT in enterprise environments to enhance your security and compliance.Missing: formalization | Show results with:formalization
[63]
SIEM vs. UEBA: 4 Critical Differences - SentinelOne
Jul 7, 2025 · User Entity Behavior Analytics will use Artificial Intelligence and Machine Learning algorithms to detect anomalies in user behaviors ...
[64]
Shadow IT monitoring Bad actors lurk in the shadows.
Log360 provides in-depth analytics on recent shadow applications requested, top users attempting to access shadow applications, and more. Be notified in ...
[65]
How to Detect Shadow IT and Hidden Risk in Your Organization
Jan 25, 2024 · Shadow IT refers to the use of unauthorized tools, software, or devices by employees without explicit approval from the IT department.
[66]
Shadow IT: Identifying, Evaluating, Managing - HBS
Apr 18, 2024 · Shadow IT is using technology without formal IT approval, often cloud-based, and includes unauthorized software and personal devices for work.What Is Shadow It? · Shadow It Examples · How To Manage Shadow ItMissing: credible sources
[67]
Grip SaaS Security Integrations
Grip enables secure protection for your global identity fabric across the enterprise SaaS layer, integrating visibility, analysis, and actionable insights.
[68]
How to Detect and Manage Shadow IT in 5 Steps - Grip Security
Sep 19, 2025 · Shadow IT is the use of systems, devices, software, applications, or services outside IT's visibility or approval. In 2025, most of shadow IT is ...What Is Shadow It In... · Managing Shadow It · Faqs About Shadow It
[69]
2025 SaaS Security Risks Report
This report takes a comprehensive look at how shadow SaaS and shadow AI are reshaping the security landscape.Missing: Automated solutions API cloud providers visibility
[70]
How to Mitigate Security Risks of Shadow IT: A Proactive Approach ...
Policy Development. Create clear policies that outline acceptable use and compliance requirements. Ensure policies are accessible and understood by all staff.
[71]
What is Shadow IT? [Tactics and Strategies for 2025] - Torii
The global average cost of a data breach in 2024 was $4.88 million—a 10% increase over last year and the highest total ever. 1 in 3 breaches involved shadow ...Missing: statistics | Show results with:statistics
[72]
Shadow IT Policy - Lumos
This might include a fast-track approval system for low-risk tools, ensuring that innovation isn't stifled by red tape. Finally, enforce policies consistently.Table Of Contents · What Is A Shadow It Policy? · How To Manage Shadow It In...
[73]
What is Self-Service App Catalog and How Does It Prevent Shadow ...
Nov 7, 2024 · Learn how a Self-Service App Catalog empowers employees with approved software choices, reducing shadow IT risks & enhancing organizational
[74]
Shadow IT And IT Innovation - Meegle
Provide Approved Alternatives: Offer a catalog of pre-approved tools to meet common needs. Educate Employees: Conduct training sessions to raise awareness ...Effective Strategies For... · Best Practices For Shadow It... · Step-By-Step Guide To...
[75]
How to transform shadow AI into innovation and empowerment - Okta
Oct 27, 2025 · Empower and upskill employees: Provide access to secure AI tools and "sandbox" environments where employees can experiment without risk. Offer ...
[76]
AI Gone Wild: Why Shadow AI Is Your IT Team's Worst Nightmare
Mar 4, 2025 · About 38% of employees (in a survey of 7000) share confidential data with AI platforms without approval, according to late 2024 research by ...
[77]
Shining A Light On Shadow IT: Strategies For Secure Innovation On ...
Jul 12, 2024 · Provide builders with secure sandbox environments to experiment: Use AWS Organizations to programmatically provision new AWS accounts for teams ...
[78]
Shadow AI vs Shadow IT | Risk Mitigation - Spin.AI
Oct 8, 2025 · Gartner predicts that by 2027, 75% of employees will “acquire, modify or create technology outside IT's visibility – up from 41% in 2022”. This ...What Is Shadow It? · What Is Shadow Ai? · #1. Saas Risk Assessments
[79]
Employees Are Embracing 'Shadow AI' – and Putting Company Data ...
Oct 25, 2024 · Many major companies are trying to ban employee use of outside AI tools, but there are other ways to prevent the potential data leakage.
[80]
The Rise of Shadow AI: Auditing Unauthorized AI Tools in ... - ISACA
Sep 26, 2025 · Shadow AI resembles shadow IT, a problem associated with unauthorized technological innovations circumventing formal enterprise IT controls.
[81]
Shadow IT and shadow IoT - Red Hat
Sep 12, 2022 · Shadow IT refers to information technology systems deployed by individuals or departments outside of an organization's central IT ...
[82]
Shadow IT in the Hybrid Work Era - LayerX Security
Oct 11, 2023 · “Shadow IT” is the use of unauthorized software, applications, devices, and hardware within an organization.
[83]
Employees increasingly use personal devices for work ... - TechRadar
Oct 8, 2025 · Bring your own device (BYOD) is becoming the rule rather than the exception in workplaces, new research from Ivanti has claimed.
[84]
[PDF] Decentralised finance: Growth, risks and regulation of a shadow ...
Oct 10, 2025 · Abstract: Decentralised Finance applications aim to replicate existing financial products and services from the highly regulated Traditional ...
[85]
Crypto-based 'shadow financial market' spooks regulators - POLITICO
Jul 24, 2021 · New financial services built on cryptocurrency are offering consumers the ability to borrow and trade billions of dollars without the oversight ...
[86]
Gartner Identifies the Top 10 Strategic Technology Trends for 2025
Oct 21, 2024 · Gartner predicts that by 2029, advances in quantum computing will make most conventional asymmetric cryptography unsafe to use. Ambient ...
[87]
Gartner's Top 10 Strategic Technology Trends for 2025
Oct 21, 2024 · Trend 4: Post-quantum cryptography (PQC): Data protection that is resistant to quantum computing (QC) decryption risks. Business benefits ...Post-quantum cryptography · Intelligent Agents in AI · FAQ · Information Technology
[88]
Rather Than Rebellion, Treat Shadow IT As Your Tech Roadmap
Aug 5, 2025 · Shadow IT is almost inevitable in the age of remote work, so businesses are better off treating it as internal research. If employees think ...
[89]
Managing Shadow IT: Top Strategies for 2025 - Reco AI
Nov 15, 2024 · Learn the top strategies to manage Shadow IT risks in 2025. Find out how to implement a Shadow IT policy and how Reco can help protect your ...
[90]
Replace Shadow IT with Citizen Development | Kuali Build
Jan 21, 2025 · The benefits of citizen development include cost savings, agility, and the ability to better manage shadow IT. Read more in-depth about the ...