Agentic AI Governance
Govern autonomous AI systems through real-time metadata awareness.
Use Case Summary
Autonomous AI agents operate with broad permissions that can introduce hidden risks. Through Bedrock’s Model Context Protocol (MCP) integration, agents can query the Metadata Lake in real time to validate whether data is within policy before acting. This creates policy-aware AI systems that respect sensitivity boundaries autonomously.
Key Capabilities
Agent Discovery
Identify and inventory autonomous agents across environments.
Policy-Aware Execution
Enable agents to self-check data classification and governance rules.
Continuous Monitoring
Track agent actions and validate policy adherence.
Value to Stakeholders
CTO
Enable innovation with safe, governed automation.
AI/ML Leads
Build compliant, policy-aware AI pipelines without manual rule-coding.
GRC
Maintain auditable oversight for autonomous system behavior.