
Cybersecurity used to be about protecting infrastructure. Firewalls, endpoints, and networks defined the perimeter. But, it's now 2026, and that perimeter has dissolved. In its place sits a sprawling SaaS ecosystem where data, identities, and third-party applications define risk.
For years, security teams have used ‘Shadow IT’ as a catch-all term for unsanctioned technology. But in SaaS environments, that definition no longer tells the full story. Many of today’s highest-risk tools aren’t operating outside the organization, they’re embedded directly inside trusted platforms through OAuth permissions, integrations, and APIs.
These are Shadow Apps, and they represent one of the most misunderstood and under-monitored risk categories in modern SaaS security.
The problem isn’t just visibility, it’s context. Knowing that an app exists isn’t enough. Security teams need to understand who authorized it, what data it can access, how it’s being used, and whether that access still makes sense. Without that clarity, organizations are left with silent data exposure, growing insider risk, and misconfigurations that compound over time.
In this article, we’ll break down the difference between Shadow IT and Shadow Apps, explain why Shadow Apps are uniquely dangerous in SaaS environments, and explore what modern security teams must do to regain control, without slowing down the business or blocking innovation.
What Shadow IT Is (and What It Is NOT)
Before talking about Shadow Apps, it’s critical to define Shadow IT clearly and consistently. The term has been stretched so far over the years that it’s often used to describe risks it was never meant to cover. That confusion creates blind spots - and in SaaS environments, blind spots snowball into data exposure.
The Definition of Shadow IT
Shadow IT refers to technology that is acquired, deployed, and used outside the organization’s approved IT and security environment.
This definition holds true regardless of company size, industry, or tech stack.
Shadow IT exists when:
- The tool is not approved or managed by IT or security
- The organization has no administrative control over the system
- The tool operates outside core identity, access, and data governance
In short, Shadow IT lives beyond the organization’s sanctioned environment.
Common Examples of Shadow IT
Clear examples of Shadow IT include:
- Employees signing up for standalone SaaS tools using personal or work emails
- Teams storing sensitive data in personal cloud storage accounts
- Departments adopting niche productivity or AI tools without IT involvement
- Business units running parallel systems unknown to security teams
In all of these cases, data is leaving approved platforms and entering environments the organization does not control.
What Shadow IT Is NOT
This is where the confusion often starts.
Shadow IT is not:
- Third-party apps connected to approved SaaS platforms (like Google Workspace)
- OAuth integrations authorized inside tools like Google Workspace (‘Sign in with Google’)
- Marketplace apps installed within sanctioned environments
Those scenarios do not meet the definition of Shadow IT, because they operate inside approved platforms, inherit corporate identities, and access data through sanctioned systems.
Labeling these as Shadow IT obscures the real risk and leads to the wrong strategy and controls.
Why the Distinction Matters
Shadow IT is a problem of external technology sprawl.
Shadow Apps are a problem of internal access and data overexposure.
Shadow IT requires discovery and containment.
Shadow Apps require continuous visibility into permissions, data access, and behavior.
Conflating the two causes organizations to focus on blocking tools instead of governing access, and that’s how modern SaaS risk quietly grows.
Now that Shadow IT is clearly defined, we can look at the category most organizations underestimate: Shadow Apps, and why they demand a completely different security approach.
Shadow Apps: The Hidden Risk Inside Approved SaaS
If Shadow IT lives outside the organization’s technology environment, Shadow Apps live directly inside it.
Shadow Apps are third-party applications, integrations, extensions, or services that connect to approved SaaS platforms and gain access to corporate data (often through OAuth or APIs) without security oversight.
For simplicity, this article uses the term Shadow Apps to also include Shadow AI Apps: generative AI applications (think scheduling assistants, notetakers, etc.) that are added to the environment and gain access to corporate data or systems.
All these apps are authorized by users and employees, not hackers. And because they operate within trusted platforms, they’re frequently invisible to traditional security controls.
Why Shadow Apps Are So Easy to Miss
Shadow Apps don’t look risky at first glance. They’re often:
- Installed from official marketplaces
- Authorized + able to connect to your SaaS environment with a single click
- Framed as productivity, collaboration, or AI-enhancement tools
Once connected, these apps inherit user permissions automatically. That means access to files, emails, calendars, chats, or other sensitive data - sometimes with read/write or offline access that persists long after initial use.
Unlike Shadow IT, Shadow Apps don’t always require data to leave the organization’s SaaS environment. They can simply create new, unmonitored access paths to it.
Common Shadow App Scenarios
In SaaS-first environments, Shadow Apps commonly include:
- OAuth apps connected to Google Workspace with broad Drive or Gmail scopes
- Third-party tools accessing shared drives or sensitive documents
- Browser extensions that interact directly with SaaS sessions
- AI-powered tools granted access to collaboration data for analysis or summarization
In many cases, no one reviews what permissions were granted - or whether those permissions are still appropriate weeks or months later.
Why Shadow Apps Are Uniquely Dangerous
Shadow Apps introduce risk not because they’re malicious, but because they operate on implicit trust.
They:
- Bypass network-based security controls
- Persist beyond employee role changes or offboarding
- Expand the blast radius of insider risk
- Accumulate silently as SaaS environments scale and more apps come into the fold
Without visibility into app behavior, permissions, and data access, organizations lose the ability to answer fundamental security questions:
- Which apps are connected to the environment?
- What apps can access sensitive data?
- What employee authorized that access?
- Is the access still needed, or still safe?
- What are the risks associated with that app being connected?
Shadow Apps are a structural byproduct of how SaaS platforms are designed to work. And without SaaS-native security controls, they remain one of the most significant blind spots in data security - regardless of company size, type, or industry.
Shadow IT vs. Shadow Apps: The Differences That Actually Matter
At a glance, Shadow IT and Shadow Apps can look similar. Both involve tools security teams didn’t explicitly approve. Both can introduce risk. And both are often discovered after the fact. But stopping there misses the point, and leads to ineffective security decisions.
The difference between Shadow IT and Shadow Apps isn’t semantic. It’s structural.
Where the Risk Lives
Shadow IT exists outside the organization’s approved SaaS environment.
It operates independently of corporate identity systems, access controls, and security policies.
Shadow Apps exist inside approved SaaS platforms.
They connect directly to systems like Google Workspace, and access corporate data through legitimate APIs and permissions.
This distinction matters because Shadow Apps don’t look like outsiders. They look like trusted participants and employees.
How Access Is Granted
Shadow IT typically requires users to:
- Create separate accounts
- Upload or duplicate data
- Work outside managed platforms
Shadow Apps require something far simpler:
- A single OAuth authorization
- A few clicks accepting permissions
- No additional credentials
Once approved, Shadow Apps often gain persistent, inherited access to data - without further user interaction.
Visibility and Control Gaps
Shadow IT is often easier to reason about:
- The tool is unsanctioned
- The data location is unknown
- The response is usually to block, migrate, or replace
Shadow Apps are more complex:
- The platform is approved
- The app is technically “authorized”
- It’s impossible to keep track of all the data that is exposed to these apps
This creates a false sense of safety. Security teams may know the platform is trusted, but lack insight into how many apps are connected, what permissions they hold, or how they’re being used.
Impact on Data Security and Insider Risk
Shadow IT creates unmanaged data silos.
Shadow Apps create unmanaged access paths.
With Shadow Apps:
- A single user authorization can expose shared or sensitive data
- Access may persist after job changes or offboarding
- Risk scales with collaboration, not just headcount
This is why Shadow Apps often pose a greater long-term risk than traditional Shadow IT - especially in collaboration-heavy environments.
Why Treating Them the Same Fails
Organizations that lump Shadow Apps into “Shadow IT” often respond with the wrong controls:
- Blocking instead of governing
- One-time reviews instead of continuous monitoring
- Tool discovery instead of access analysis
Shadow IT and Shadow Apps require different security strategies, different telemetry, and different success metrics. Treating them as interchangeable leaves critical gaps unaddressed - right where the organization’s most sensitive data lives!
Real World Risk Scenarios of Shadow IT & Shadow Apps to Further Understanding
Shadow IT Example: A File-Sharing Tool Meant to Move Faster
A project team signs up for a standalone file-sharing platform to exchange large documents with an external partner. The tool is not approved by IT, but it’s quick to use and requires no administrative involvement.
To keep work moving, employees upload internal roadmaps, customer exports, and financial models into the platform. Access is managed manually by the team, outside corporate identity controls.
Security has no visibility into who can access the files, whether links are shared publicly, or how long the data is retained. When a contractor leaves the project - or a link is forwarded - the organization has no way to revoke access or confirm exposure.
Shadow App Example: A CRM Email Enrichment Tool Meant to Streamline
A sales executive installs an app that enriches CRM records by pulling insights from keyword-based Gmail threads. The app requests broad Gmail permissions, including read, modify, and send access.
While intended to enhance sales workflows, the app gains visibility into executive communications, sensitive customer data, legal discussions, and unrelated internal conversations. These permissions are granted once and rarely revisited.
The platform itself is trusted - but the app’s access operates quietly, expanding the organization’s data exposure without any policy enforcement or contextual controls.
The Core Difference That Matters
Shadow IT: data LEAVES the approved environment
Shadow Apps: access is granted INSIDER the approved environment
Same productivity motivations. Same good intentions.
Very different risk mechanics.
Best Practices for Managing Shadow IT and Shadow Apps
Shadow IT and Shadow Apps introduce different kinds of risk, which means they require different (but complementary) security strategies.
1) Managing Shadow IT Without Slowing the Business
Because Shadow IT exists outside approved environments, the goal isn’t just discovery, it’s containment and redirection.
Effective approaches include:
- Continuous discovery of unsanctioned SaaS tools in use
- Clear guidelines around approved platforms and data handling
- Simple paths for employees to request or validate new tools
- Education that focuses on data risk, not rule-breaking
When employees understand why certain tools create risk (and have approved alternatives), Shadow IT becomes easier to reduce over time.
2) Governing Shadow Apps with SaaS-Native Security
Shadow Apps require a fundamentally different approach. Because they operate inside trusted platforms, blocking them outright is incredibly unrealistic.
Instead, security teams need:
- Continuous discovery of third-party apps, integrations, and extensions
- Visibility into OAuth scopes, permissions, and access levels
- Context around who authorized each app and what data it can reach
- Ongoing monitoring for risky behavior and configuration drift
- A way to automatically remediate and remove these apps from the environment at scale
The key here? Shadow Apps must be governed over time, not reviewed once and forgotten.
3) Turning Awareness Into Control
The organizations that manage Shadow IT and Shadow Apps successfully share a common mindset:
- Visibility and understanding comes first
- Scalable remediation comes second
- Governance must be continuous
By focusing on data access, identity context, and real usage patterns, security teams can reduce exposure while still supporting how modern work actually happens.
How DoControl Tackles Shadow Apps in Google Workspace
Shadow Apps are dynamic, user-driven, and deeply embedded in everyday workflows. Managing them effectively demands continuous visibility, contextual risk assessment, and precise control.
That’s exactly where DoControl comes in.
As a SaaS Security Platform purpose-built for protecting SaaS environments, DoControl helps organizations identify, evaluate, and remediate third-party app connections that could expose sensitive data, introduce insider risk, or undermine compliance.
Continuous Shadow App Discovery
DoControl continuously discovers and inventories all third-party OAuth applications connected to your Google Workspace environment - without relying on manual reviews or user reporting.
This includes:
- Shadow apps installed by users without IT or security awareness
- Dormant or abandoned apps with stale but still-active OAuth tokens
- Potentially malicious apps masquerading as legitimate integrations
Every discovered app is enriched with critical context, including:
- Which users authorized it
- What permission scopes were granted
- How and when the app is being used
This level of visibility gives security teams a complete, always-up-to-date view of their true SaaS attack surface.
Risk-Based Evaluation of Connected Apps
Not all Shadow Apps pose the same level of risk, and treating them that way leads to alert fatigue and missed priorities.
DoControl applies a dynamic, contextual risk-scoring model to every connected app, taking into account factors such as:
- Scope sensitivity (for example, full Gmail or Drive access)
- Actual usage patterns and user behavior
- Infrastructure characteristics, including app geolocation
By combining these signals, DoControl assigns a clear, actionable risk score to each app. This allows security teams to quickly surface high-risk or anomalous integrations and focus their efforts where it matters most, rather than wading through hundreds of low-risk connections.
On-Demand and Automated Remediation
Visibility and risk scoring are only useful if teams can act on them.
DoControl enables both manual bulk remediation, and on-going automated remediation of Shadow Apps, making it easy to:
- Suspend or revoke access to over-privileged or unused apps
- Block future installations of known malicious or non-compliant applications
- Enforce policy-driven workflows that alert on or automatically remediate risky app connections
By combining real-time visibility with precision control, DoControl helps organizations enforce a least-privilege access model for SaaS applications, closing the security gaps created by unmanaged OAuth connections.
Bringing Shadow Apps Under Control
With DoControl, Shadow Apps no longer operate in the dark.
Security teams gain:
- Continuous insight into third-party app access
- Clear prioritization of real risk
- The ability to take decisive action without disrupting productivity
The result is stronger data protection, reduced insider and compliance risk, and the elimination of one of the most persistent blind spots in SaaS security today.
Conclusion
Shadow IT and Shadow Apps are often grouped together, but they represent very different security challenges.
Shadow IT lives outside approved environments and creates unmanaged data sprawl.
Shadow Apps, on the other hand, operate inside trusted SaaS platforms - quietly expanding access to sensitive data through OAuth connections and third-party integrations.
In modern SaaS environments like Google Workspace, this distinction matters.
Managing these risks requires a new approach. One that goes beyond one-time reviews and static policies. One that is built specifically for SaaS, identity-driven access, and the way work actually happens today.
By bringing Shadow IT and Shadow Apps into focus (and applying continuous discovery, contextual risk evaluation, and precise control), security teams can reduce exposure without slowing the business.
The result? Stronger data protection, clearer governance, and the confidence that nothing suspicious is happening in the dark.


