As organizations turn to tools like Microsoft Copilot and Zoom AI Companion to drive productivity and innovation, protecting data is only the beginning. AI adoption creates a new class of communication known as aiComms, along with new user behaviors that legacy tools cannot fully see or validate.
To enable AI safely, organizations must confirm that safeguards work in practice and that both user behavior and AI-generated content stay within policy. Staying in control requires clarity on:
- Sensitive data exposure in prompts or responses
- Missing disclaimers or required boilerplate
- Accuracy and completeness of all AI interactions
- User behavior patterns including jailbreaking prompts or unauthorized use
- Retention needs for AI-generated content
- Remediation needs for off-policy content
Theta Lake’s AI Governance and Inspection Suite delivers forensic-level inspection of AI prompts, responses, summaries, and assistant activity so organizations can govern aiComms with precision and without disrupting workflows.
With Theta Lake, organizations can:
- Detect sensitive data exposure
- Identify missing disclosures and disclaimers
- Assess AI interactions for accuracy and completeness
- Detect risky user behavior
- Validate data completeness
- Monitor system health and performance
- Monitor AI security events alongside other cybersecurity events
- Apply remediation controls
- Selectively retain AI content
Explore the modules of the AI Governance & Inspection Suite below.
Easily inspect prompts, responses, meeting and phone summaries from AI Companion to confirm what was shared to and take action if needed. Compatible with Zoom Compliance Manager, powered by Theta Lake, as well.
Easily detect when sensitive data has been shared in Copilot communications so compliance teams can make the appropriate review and take action if necessary.
Compliance teams can easily detect AI notetakers in meetings, and confidently apply policies, protocols, and review measures to ensure security and compliance.
Theta Lake provides an API that lets organizations stream AI security events into their SIEM tools so they can monitor AI activity alongside their existing security signals.
The same API also delivers real-time system health and performance indicators, including capture status and ingestion delays, to external observability tools so teams always know that aiComms are being captured as expected.
This visibility makes it possible to reconcile AI-generated content with other communication records and to meet the completeness and accountability standards that regulators will eventually require for aiComms.
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