Agent Safety Guard

Design comprehensive safety architectures for AI agent systems. Identify vulnerabilities, implement defense-in-depth protections, and build red-team testing workflows to validate agent security before production deployment.

When to Use

• Building an AI agent that will be exposed to untrusted user input
• Auditing an existing agent system for security vulnerabilities
• Designing prompt injection defenses for production systems
• Implementing access control for agent tool use
• Setting up monitoring and alerting for agent safety incidents
• Preparing for a red-team evaluation of an AI system
• Designing data loss prevention (DLP) for agents with access to sensitive data

Threat Model