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🧠 AI⚪ NeutralImportance 7/10
AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments
arXiv – CS AI|Eranga Bandara, Asanga Gunaratna, Ross Gore, Abdul Rahman, Ravi Mukkamala, Sachin Shetty, Sachini Rajapakse, Isurunima Kularathna, Peter Foytik, Safdar H. Bouk, Xueping Liang, Amin Hass, Ng Wee Keong, Kasun De Zoysa|
🤖AI Summary
Researchers propose AI Trust OS, a new governance framework that uses continuous telemetry and automated probes to discover and monitor AI systems across enterprise environments. The system addresses compliance gaps in AI governance by shifting from manual attestation to autonomous observability, automatically registering undocumented AI systems through telemetry analysis.
Key Takeaways
- →Organizations face a governance crisis as AI systems emerge across teams without formal oversight, creating compliance blind spots.
- →AI Trust OS uses zero-trust telemetry boundaries and automated probes to continuously discover and monitor AI systems without accessing source code or sensitive data.
- →The framework shifts AI governance from manual self-reporting to empirical machine observation through telemetry analysis.
- →The system evaluates compliance across major frameworks including ISO 42001, EU AI Act, SOC 2, GDPR, and HIPAA.
- →An AI Observability Extractor Agent automatically scans LangSmith and Datadog telemetry to register undocumented AI systems.
#ai-governance#compliance#observability#zero-trust#enterprise-ai#telemetry#regulatory-compliance#ai-monitoring#autonomous-governance
Read Original →via arXiv – CS AI
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