Shadow SaaS is cloud software employees use for work without their organization’s knowledge or approval. It is a visibility and governance problem—not a type of software in itself. The practical response is to find what people actually use, understand why, assess the risks, and choose controls that address the risk without ignoring legitimate work needs.
What counts as shadow SaaS?
Microsoft defines shadow IT as applications and services employees use without the IT department’s knowledge or approval. Shadow SaaS is the subset involving software delivered as a cloud service. An app does not have to be inherently unsafe or used maliciously to count: the defining issue is that the organization has not approved or adequately accounted for its use.
That distinction matters. An unapproved tool may be filling a real work need that the organization’s approved tools do not meet. Microsoft says discovering unsanctioned apps can reveal legitimate work purposes that approved apps have not addressed. Treating every discovery as misconduct can conceal the need that led people to use the app in the first place.
Microsoft’s Defender for Cloud Apps tutorial reports that administrators estimate employees use 30 or 40 cloud apps on average, while the actual average is over 1,000 separate apps. It also reports that 80% of employees use non-sanctioned apps that have not been reviewed and may not comply with security or compliance policies. These are Microsoft’s undated figures in product guidance, not independently validated or universal measurements. Read Microsoft’s tutorial on discovering and managing shadow IT.
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Why can unmanaged SaaS matter?
With SaaS, the provider operates the underlying infrastructure and controls much of the application. NIST’s glossary describes this limited customer control as part of the SaaS service model. Organizations therefore need to understand both what their providers control and what they must govern themselves. NIST’s SaaS definition provides the service-model context.
- Data control: Uploading work files to personal cloud storage can move them outside the organization’s direct control.
- Compliance: An app may not meet requirements that apply to the organization or the data it handles.
- Security: Weak app security practices can increase exposure to threats such as credential theft or malware delivery.
- Cost and licensing: Unnoticed duplicate tools can create overlapping subscriptions or make license management harder.
- Integrations and monitoring: Third-party connections and app activity may be difficult to see, investigate, or govern when the app is outside the organization’s normal controls.
Generative AI tools are a related, emerging case often called shadow AI, not a synonym for all shadow SaaS. Microsoft highlights concerns including sensitive information entered in prompts, unclear data use, reduced visibility into AI-assisted decisions, and prompt injection or jailbreaking. The relevant concern depends on the tool, the data, and how it is used.
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How can an organization find shadow SaaS?
Start with observed use, not the approved-app list
A formal software register shows what administrators expect people to use; it cannot by itself show every service employees access. Build an inventory from observed application use and compare it with the approved register. Microsoft’s cloud-discovery guidance also recommends considering app categories: an unfamiliar service may be serving a valid business need.
Discovery tools have limits. Microsoft notes that its catalog cannot identify apps absent from the catalog unless additional steps are taken, such as creating a custom app entry. An inventory based on one catalog should therefore not be treated as proof that all SaaS use has been found. Microsoft’s cloud-discovery tutorial describes its approach and catalog caveat.
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For each service, identify its publisher and ownership, available security measures, data handling and retention, encryption at rest, audit logging, certifications, penetration testing, and support for multifactor authentication. Also determine who uses it, what information they put into it, and what other services it can access. Microsoft lists these kinds of factors in its application-discovery guidance. See Microsoft’s app risk-score factors.
A risk score can help prioritize review, but it cannot make the decision on its own. A score does not tell you whether the app’s particular data, integrations, or business purpose are acceptable for your organization.
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What should the organization do after finding an app?
- Find the business purpose. Ask the users what task the app supports, who depends on it, what data is involved, and which integrations are enabled. This helps distinguish an avoidable risk from a gap in the organization’s approved tools.
- Assess the risk against the use case. Consider the app’s security and compliance information alongside the sensitivity of the data, user access, and connected services. Do not treat a low or high score as a complete review.
- Choose a proportionate response. If the app is acceptable, approve it and bring it under appropriate governance. If the need is legitimate but the service is unsuitable, consider a safer approved route or alternative. If the risk cannot be accepted, restrict access and explain the reason to affected users.
- Apply controls that fit the app. Depending on the service and the organization’s tools, options may include identity controls, user education, or network restrictions. Microsoft describes marking apps unsanctioned so they can be blocked through a firewall, proxy, or secure web gateway. It also describes using Microsoft Entra ID single sign-on for apps in its gallery. These vendor-described capabilities do not mean every app can be controlled in the same way. Microsoft’s tutorial covers these product-specific options.
- Keep the inventory current. Review ownership, configuration, access, and third-party connections as app use changes. Discovery is not a one-time cleanup if new services and integrations can appear later.
What is SaaS security posture management?
SaaS security posture management (SSPM) is an approach to maintaining a view of security risks and compliance gaps across an organization’s SaaS portfolio. The Centers for Medicare & Medicaid Services (CMS) describes SSPM as a way to help monitor those issues and identifies shadow SaaS as a potential source of blind spots. This is CMS guidance for its context, not a universal mandate for every organization. Read CMS’s SaaS Security Posture Management guidance.
For an organization evaluating discovery or posture-management capabilities, useful questions include whether the approach can find apps beyond a built-in catalog, assess security and compliance factors, apply suitable identity or network controls, help resolve legitimate user needs, and maintain visibility into configuration and integrations. The cited guidance describes considerations and vendor capabilities; it does not establish an independent ranking of products.
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