The Recommendations feature enables you to seamlessly transition from identifying AI system vulnerabilities through Red Teaming assessments to implementing targeted security controls that address your specific risks. This feature closes the critical gap between AI risk assessment and mitigation by transforming vulnerability findings into actionable remediation plans. The remediation recommendations can be found in all Attack Library and Agent Scan Reports.

When you conduct AI Red Teaming evaluations on your AI models, applications, or agents, this integrated solution automatically analyzes the discovered security, safety, brand reputation, and compliance risks to generate contextual remediation recommendations that directly address your specific vulnerabilities.

The generated contextual remediation recommendations include two distinct components:

For organizations deploying AI systems in production environments, this capability ensures that your runtime security configurations and remediation measures are informed by actual risk insights rather than generic best practices, resulting in more effective protection against the specific threats your AI systems face.

The remediation recommendations appear directly in your AI Red Teaming scan reports, providing actionable guidance. You can then manually create and attach the recommended security profiles to your desired workloads, transforming AI risk management from a reactive process into a proactive workflow that connects vulnerability discovery with targeted protection.