Generative AI security risks in SaaS are becoming an IAM problem

At a glance

What this is: This is a Valence Security analysis of how generative AI in SaaS turns unsanctioned integrations, broad OAuth scopes, and dormant access into an identity governance problem.

Why it matters: It matters because IAM teams now have to govern SaaS-to-SaaS integrations, offboarding, and least privilege for tools that business users can add without central control.

By the numbers:

• 56% of organisations said third-party vendors and GenAI tools have overprivileged API access to sensitive data.
• 56% of US employees already use GenAI tools at work.
• 33% of SaaS integrations are granted sensitive data access or privileges to the core SaaS application.

Context

Generative AI in SaaS is not just a tooling question. It is an identity and governance problem because every unsanctioned integration creates another path into corporate data, often outside the visibility of central IT and security teams.

The article’s core point is that shadow AI, OAuth scopes, and dormant SaaS integrations can outlive the people who created them. That turns offboarding and access review into controls for applications and service identities as much as for human users.

Key questions

Q: What breaks when GenAI tools are embedded in SaaS without IAM oversight?

A: The control that breaks is identity governance over the integration itself. Once a business user can connect a GenAI tool directly into SaaS, the organisation may lose sight of who approved it, what data it can reach, and whether it should still exist. That leaves access sprawl, shadow AI, and dormant permissions outside normal review cycles.

Q: Why do overprivileged SaaS integrations create such a large risk for GenAI?

A: Because the integration’s effective privilege is defined by the OAuth scopes or API permissions it receives, not by the narrow task the user had in mind. If a GenAI tool can read mail, files, or customer records, the blast radius is already broad even when the deployment looks temporary or low friction.

Q: What do security teams get wrong about shadow AI governance?

A: They often treat shadow AI as a banned-app problem when it is usually an identity and accountability problem. Employees can use approved tools, personal accounts, or embedded AI features in ways that bypass policy even when the app itself is not explicitly blocked. Governance has to follow the interaction, not just the endpoint.

Q: Should organisations treat dormant GenAI integrations like leaver risk?

A: Yes. A dormant integration often means the original user left, the use case ended, or the grant was never reassessed, yet the token or delegated access still works. That is the same lifecycle failure pattern seen in leaver handling for non-human identities, so revocation needs to be part of offboarding.

Technical breakdown

Shadow AI in SaaS creates unmanaged identity paths

Shadow AI in SaaS refers to GenAI tools and integrations adopted without IT or security approval. In practice, these tools often authenticate through OAuth, service accounts, or delegated app permissions, which means the risk is not the model itself but the identity path it gains into data. When business units manage SaaS independently, the security team may not see the integration, the scope granted, or when it should be removed. That breaks the normal assumption that access inventory is centrally knowable.

Practical implication: inventory SaaS integrations as identity objects, not just applications, and treat unsanctioned GenAI connections as governance gaps.

OAuth scopes and delegated access define the blast radius

The article highlights a common pattern in SaaS: GenAI tools request broad access to emails, calendars, customer records, and other sensitive content. OAuth scopes and API permissions determine what the tool can reach, so overbroad consent expands the blast radius even when no password is exposed. This is an IAM problem because the effective privilege is set at authorization time, not just at login. If the granted scope is broader than the task, the integration becomes a persistent access path to sensitive SaaS data.

Practical implication: review OAuth scopes with the same rigor used for privileged access and remove any integration that cannot justify its effective permission set.

Dormant integrations are offboarding failures, not harmless leftovers

Valence Security notes that some GenAI integrations become unused but remain connected because they were set up by a former employee and never revoked. That is a classic lifecycle problem: the integration still authenticates, still carries permissions, and still sits in the tenant even though its business justification has ended. In identity terms, this is a non-human offboarding failure. The longer the token or consent persists, the longer the organisation keeps an unaudited path into SaaS data.

Practical implication: build offboarding checks for SaaS-to-SaaS integrations into leaver workflows and revoke dormant OAuth tokens as part of routine lifecycle management.

Threat narrative

Attacker objective: The objective is to obtain and retain access to sensitive SaaS data through trusted-looking GenAI integrations that operate within legitimate permission boundaries.

1. Entry occurs through a user or business unit approving a GenAI integration inside a SaaS platform, often without central review.
2. Credentialed access is established through OAuth consent, API scopes, or delegated permissions that let the integration reach corporate data.
3. Escalation happens when the granted scope is broader than the actual task, allowing the tool to access emails, calendars, or customer records at scale.
4. Impact is sensitive data exposure, privacy risk, and persistent unauthorized access when dormant integrations are left in place after the original owner leaves.

Breaches seen in the wild

• 12,000 secrets in LLM training data: Truffle Security found 11,908 live API keys and passwords hard-coded in web pages captured by Common Crawl, a dataset used to train LLMs.
• Microsoft SAS token exposure 2023: An over-permissive Azure SAS token in a Microsoft AI GitHub repo exposed 38TB, including workstation backups and Teams messages, for 3 years.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Shadow AI in SaaS is an identity inventory problem before it is an AI governance problem: Once employees can connect GenAI tools directly into business SaaS, the real question becomes who can see, approve, and revoke those connections. Security teams lose control when the integration estate is treated as application sprawl rather than as a set of identities and permissions. The practitioner implication is that SaaS discovery and identity governance must converge.

Ephemeral usage does not make SaaS integrations low risk if the token is persistent: A GenAI tool may be used for a short task, but the OAuth consent or API grant can remain active indefinitely. That creates access persistence with no corresponding human memory of why the permission exists. The practitioner implication is that lifecycle controls, not user intent, become the governing signal.

Offboarding must expand from people to the integrations they authorised: The article’s most operationally important point is that a leaver process can be completed while the integration they created still has live access. That is not a monitoring gap, it is a lifecycle failure in the non-human estate. The implication is that leaver workflows need a non-human revocation branch, not just account closure.

Distributed SaaS ownership weakens least privilege unless IAM extends beyond the security team: The article shows that business units often control the systems where GenAI is embedded, while central security owns the policy. That split is where overprivileged access survives. Practitioners should treat delegated administration as a governance boundary that requires explicit entitlement review.

Overprivileged GenAI access is becoming a SaaS version of identity blast radius: When a tool can read mail, calendars, and customer records through one integration, the breach surface is defined by the broadest granted scope, not by the primary use case. That is a strong fit for OWASP-NHI and SaaS governance thinking. The practitioner implication is to measure effective blast radius, not just whether the integration was approved.

From our research library:

• Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
• Read next: NHI Security Platform Buyer's Guide

What this signals

GenAI integrations should be governed as non-human identities, not as casual app add-ons: The practical boundary has shifted from app approval to permissioned execution inside SaaS tenants. If a tool can inherit delegated access, the organisation needs the same inventory, ownership, and offboarding discipline used for other non-human identities.

Overprivilege is now the common failure mode in SaaS AI adoption: When integrations ask for broad access to mail, files, or customer data, the issue is not just whether the tool is sanctioned. The issue is whether the granted scope can be justified, reviewed, and removed before it becomes a persistent access path.

Dormant consent is the hidden lifecycle defect: Integrations often survive the employee who created them, which means access can remain active after business context has disappeared. That is where access review must move from periodic assurance to continuous entitlement hygiene.

For practitioners

• Inventory GenAI-enabled SaaS integrations Build a living inventory of every GenAI tool connected through SaaS permissions, OAuth consent, or delegated app access, including business-unit owned integrations that bypass central IT review.
• Review granted OAuth scopes Compare each integration’s actual scope to its stated business purpose and remove access that reaches emails, calendars, customer records, or other data the tool does not need.
• Add non-human offboarding steps Require revocation of OAuth tokens, API grants, and SaaS-to-SaaS integrations when the owner leaves or the use case ends, rather than assuming account closure is enough.
• Tighten delegated admin governance Give non-security SaaS administrators clear approval criteria, but keep entitlement review and revocation authority with the identity governance process so business ownership does not become uncontrolled access.
• Set a shadow AI review cadence Reassess dormant or unused integrations on a fixed cadence and remove anything that has not shown recent business activity or still lacks a documented owner.

Key takeaways

• Generative AI in SaaS is creating a governance gap because tools can gain broad, delegated access without the same review applied to human accounts.
• The article ties that gap to shadow AI, overprivileged scopes, and dormant integrations that survive normal offboarding.
• The practical response is to treat SaaS integrations as governed identities and enforce inventory, scope review, and revocation as lifecycle controls.

Key terms

• Shadow AI: AI agents, copilots, or connected tools operating without full visibility or governance from security teams. Shadow AI becomes an identity problem when those systems authenticate with unmanaged tokens, service accounts, or OAuth apps that can reach production resources.
• OAuth Scope: An OAuth scope is a permission string that defines what an application can do on behalf of a user. In practice, scopes set the blast radius of delegated access, because the token carries the right to read, write, or administer resources until it is revoked or expires.
• Delegated Access: Delegated access is permission granted to one identity to act on behalf of another user, service, or system. In NHI environments, this usually appears in OAuth-connected apps and automation tooling. It is powerful, but it must be tightly scoped and reviewed because it can persist long after the original business need ends.
• Dormant Integration: A dormant integration is a SaaS-to-SaaS connection that is no longer actively used but still holds valid credentials or consent. It matters because the integration can continue to access data or trigger actions even after the business owner assumes it is retired.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are building or maturing an IAM programme, it is worth exploring.