agentic-ai-controls

A second-line review for agentic AI controls standardizes risk assessment by evaluating agent authority, architecture, human oversight, guardrails, and kill switches. This framework ensures regulated financial firms can comprehensively analyze and mitigate agent behaviors in complex environments.

An agentic AI controls assessment includes reviewing tool inventory, identity authorization, threat assessment, sandbox guarantees, logging, and incident response. It applies sector overlays for banking, insurance, capital markets, and fintech, alongside cross-cutting cybersecurity and privacy concerns.

To start an agentic AI risk assessment, execute the command `start-agentic-ai-controls review <scope_record>`. The process consumes outputs from model cards and validation plans to facilitate an end-to-end governance review of agentic systems.

Yes, you can review AI agent behaviors across capital markets and fintech sectors. The framework provides specific sector overlays and addresses cross-cutting concerns like AI ethics and conduct, ensuring industry-specific regulatory considerations are fully covered.

Yes, the agentic AI controls review integrates with downstream governance systems. It provides a structured output contract for downstream consumers, allowing seamless integration with other systems and processes to maintain end-to-end governance.

Assessing prompt injection risks requires integrating outputs from prompt injection risk evaluations and model card builders. These inputs feed into the comprehensive review framework to validate guardrails, threat assessments, and residual risks for agentic AI.