How do I enable link-scanning protections in my team chat app to warn users about malicious URLs in channels?

To prevent session hijacking from obfuscated tracking links in chats, enable:

• Link isolation: Open chat links in browser sandboxes or through a secure web gateway.
• Token binding & re-authentication: Tie session cookies to device fingerprints and force MFA if redirected domains change.
• Content inspection: Use advanced link scanners to unwrap shortened URLs before opening.
• Session timeout policies: Auto-expire idle tokens to limit exposure after malicious redirects.

To prevent session hijacking from obfuscated tracking links in chats, enable:

• Link isolation: Open chat links in browser sandboxes or through a secure web gateway.
• Token binding & re-authentication: Tie session cookies to device fingerprints and force MFA if redirected domains change.
• Content inspection: Use advanced link scanners to unwrap shortened URLs before opening.
• Session timeout policies: Auto-expire idle tokens to limit exposure after malicious redirects.

• Inventory: pull a list of installed AI plug-ins and their OAuth scopes from the chat admin console or app marketplace; export for review.
• Risk review: compare each plug-in’s scopes against least-privilege needs (e.g., read-only vs. write/full mailbox access) and mark excessive scopes.
• Monitor: enable SIEM/app logs to track token use, anomalous API patterns, and cross-device/token reuse; alert on scope-related abuse.
• Remediate: remove or restrict offending plug-ins (allowlist only), rotate/revoke tokens, require vendor justification + DPA, and enforce approval workflows for future installs.

Adopt tiered backup policies that include AI-generated content explicitly:

• Scope updates: Add AI documents, notes, and summaries to existing file and cloud backup plans.
• Frequency: Schedule daily or real-time incremental backups for collaboration and meeting data.
• Retention: Keep recovery points for at least 30–90 days with versioning for auditability.
• Validation: Test restore processes quarterly to confirm AI data is recoverable and intact.

Adoption of AI meeting notes can be verified by administrators via:

• Examining analytics dashboards: Keep track of how many sessions have AI notes enabled compared to all meetings.
• Tracking engagement: Calculate the frequency with which users see, modify, or distribute AI summaries.
• Surveying teams: To determine actual adoption, get input on accuracy and usefulness.
• Auditing access logs: Verify that summaries are created and viewed by authorized users only.