OAuth Security for the AI Agent Era
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Persistent OAuth risk is 
the new phishing
Blocking every new OAuth client outright is not realistic when the same framework powers every AI agent your team wants to adopt. Material closes the gap with continuous behavioral analysis rather than point-in-time scope reviews.
Continuous OAuth Monitoring
Material instantly detects new OAuth grants and continuously audits existing access, performing the deep investigation an analyst would otherwise run by hand. The agent surfaces shadow IT and unsanctioned AI agents that users authorized without admin approval. Pair this with shadow IT and unauthorized AI controls for full visibility into self-adopted clients.
Deep Risk Classification
The agent automatically classifies each connection by severity, risk, and business impact. Classifications factor in the OAuth scopes an apprequested, how it behaves at runtime (its actual activity), vendor trust, reputation signals, and known OAuth vulnerabilities (a known publisher with a track record versus a brand-new shop), and potential blast radius across your data. Your team works the riskiest apps first instead of reviewing alphabetically.
Automated Kill Switch and User Verification
The agent can programmatically revoke OAuth tokens autonomously, flag critical risks for human review, and message the user in Slack to confirm whether an authorization was legitimate. For business-critical clients, you can require analyst approval before revocation happens, a human-in-the-loop safeguard that protects the company from accidental disruption while still moving fast on confirmed threats. This is how Material helps teams stop token-based persistence and data exfiltration without adding triage burden.



Real-time protection vs polling and post-mortems
Apps Agent
Apps Agent