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Configure ChatGPT Enterprise admin controls, including SSO, SCIM, role-based access, app permissions, GPTs, Codex, and compliance logging. Discover how Reco helps detect shadow AI, identify misconfigurations, monitor OAuth permissions, and maintain secure AI governance across your organization.

Learn how to build and enforce DLP policies for generative AI tools with Reco. Discover how to prevent sensitive data exposure, secure Microsoft Copilot and Gemini, manage AI app permissions, implement runtime protection, and verify enforcement across prompts, uploads, APIs, and connected data sources.

An AI tool can take seconds to authorize, but its OAuth access may remain active long after the user stops using it. As apps add integrations and request broader permissions, forgotten grants can quietly expand access to sensitive corporate data. Learn how to find risky OAuth scopes, revoke unnecessary permissions, verify the change, and monitor scope drift with Reco.

The offboarding email goes out at 5 pm Friday. HR has notified IT. The SSO account is deactivated within the hour, and the offboarding ticket gets closed. Two months later, the former employee's ChatGPT subscription is still active on the corporate card

Security teams typically discover three to four times more applications than IT has on record, and AI tools are the fastest-growing category in that gap. A tool connected via social login to a corporate Google account bypasses SSO entirely, leaving no trace in your identity provider logs.

“Are we compliant with AI regulations?” is the wrong question. The real question security teams should be asking is this: Can we continuously enforce and prove compliance as AI usage changes every week? Most organizations approach AI compliance as a static checklist.

Microsoft Copilot enforces existing Microsoft 365 permissions. If a user can open a file, Copilot can surface it in an answer. That means any oversharing already present across SharePoint

"How do I set up alerts for AI tools?" is the wrong question. The better question: How do I build monitoring that catches AI risks I haven't anticipated yet? Most IT teams configure alerts for known AI applications. ChatGPT gets a policy.

Securing Make.com integrations in an enterprise environment now requires addressing identity, data flows, API exposure, credential handling, governance, and operational monitoring.

The use of AI agents is rapidly expanding across enterprise systems, driving new levels of automation, decision-making, and intelligent interaction. However, this evolution also introduces complexity in managing agent behavior, data access, and real-time responses within operational environments.