Grip Report Highlights SaaS and Embedded AI Governance Gaps
Summary
Grip Security’s 2026 report finds embedded AI in every analyzed organization’s SaaS environment and risky OAuth scopes in 67%. It recommends continuous discovery and identity-aware governance to reduce data exposure.
Key points
- The report uses aggregated, anonymized telemetry from enterprise environments monitored by Grip Security rather than surveys or self-reported inventories; it does not specify the number of organizations analyzed.
- Analyzed organizations averaged 3,891 SaaS environments and 139.5 AI-enabled SaaS environments, with embedded AI present in every organization studied.
- Grip reports that 67% of organizations had at least one risky OAuth scope, highlighting persistent access through integrations that may bypass security and legal review.
- Within Grip’s telemetry and incident dataset, public SaaS attacks increased 490% from 2024 to 2025, and 80% of documented incidents involved PII and/or customer data.
- The report identifies embedded features, browser extensions, OAuth connections, and non-human identities as visibility gaps that approved-tool inventories and login-focused controls may miss.
- Recommendations include mapping AI usage to identities, permissions, and data sources; applying risk-based controls; continuously monitoring changes; and reassessing governance every 90 days.
Article Details
- Publisher
- Grip Security
- Report Period
- 2026 report; includes year-over-year observations from 2024 to 2025
- Scope
- Aggregated, anonymized telemetry and risk analysis from real-world enterprise SaaS environments monitored by Grip Security, including SaaS and AI usage, identity activity, integrations, and incident exposure.
- Key Statistics
- 100% of analyzed organizations operated SaaS environments with known, embedded AI components.
- Organizations averaged 139.5 AI-enabled SaaS environments.
- Organizations averaged 3,891 SaaS environments.
- Public SaaS attacks increased 490% year over year from 2024 to 2025, according to the report.
- 80% of documented incidents involved PII and/or customer data.
- Recommendations
- Continuously discover AI tools, embedded AI features, OAuth integrations, and browser extensions across SaaS environments.
- Map AI usage to identities, permissions, and connected data sources.
- Continuously monitor AI usage, integrations, permission changes, and embedded AI feature expansion.
- Classify and tier AI risk based on usage patterns, access levels, and data exposure.
- Reevaluate AI governance every 90 days.
Vendors
Industries
finance> Manufacturing, finance, healthcare, and and apply controls proportionate toInsuranceinsurance environments combine complex industry specific risk.Manufacturingmanufacturing floors to hospital systems, from year growth accelerates across nearlyRetailfinancial services to retail operations, SaaS every sector.Software> AI risk scales at SaaS speed, faster Where SaaS made software easy to buy, AI Risk compounds quickly in highly integrated