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Q:

What training should we give users to avoid false positives from AI meeting notes?

  • Abhishek lochab
  • Dec 19, 2025

1 Answers

A:

Give brief, targeted instruction on the following topics:

  • AI limitations: Describe how summaries could misread tone or context.
  • Verification practices: Before sharing, urge users to check and edit AI notes.
  • Privacy awareness: If AI recording is enabled, remind teams not to discuss sensitive data.
  • Feedback procedure: Instruct users on how to report biased or inaccurate notes for system enhancement.
  • MITHILESH
  • Dec 23, 2025

0 0

Related Question and Answers

A:

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.
  • Rishikesh Patil
  • Dec 07, 2025

A:

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.
  • RIBHAV BERI
  • Dec 20, 2025

A:

  • 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.
  • anurag katiyar
  • Dec 24, 2025

A:

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.
  • Raj Kate
  • Dec 19, 2025

A:

Monitor productivity and security indicators:

  • Security KPIs: Track data access logs, instances of unapproved note sharing, and the outcomes of compliance audits.
  • Productivity Gains: Track user adoption, meeting follow-up completion rates, and decreased time spent taking manual notes.
  • Baseline Comparison: To strike a balance between security safeguards and user efficiency, compare data from 30 to 60 days prior to and following the rollout.
  • Ram kumar
  • Dec 19, 2025

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