Implementing governance for Agentic AI involves several critical steps and considerations to ensure safety, compliance, and effective management of risks. Here’s a detailed breakdown based on your provided content:
Key Components of Governance for Agentic AI
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Agent Request Handling
- Request Parsing: Parse the user request to understand the intent.
- Intent Validation: Ensure the request is valid and within acceptable parameters.
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Policy Evaluation
- Rule-Based Policies: Define rules that govern what actions an agent can take under specific conditions.
- Risk Scoring: Assign a risk score based on the action's potential impact.
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Tool Access Control
- Access Checks: Verify if the agent has permission to use certain tools or APIs.
- Usage Limits: Enforce limits on how often and in what ways an agent can access tools.
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Human Review Mechanism
- Escalation Paths: Define clear paths for human review when risk scores exceed thresholds.
- Manual Override: Allow humans to override automated decisions if necessary.
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Continuous Monitoring
- Metric Tracking: Monitor metrics like tool usage frequency, error rates, and policy violation counts.
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