AI Red Teaming: Multi-Agent System for Attack Simulation

The core of the red teaming platform is an Attack Agent, driven by a "Jailbroken LLM" to bypass ethical constraints and generate diverse attack vectors.
An Agentic Radar probes the target AI application's code to provide the Attack Agent with contextual details, enhancing attack precision.
A Red Team curates a database of foundational attacks, ensuring it remains current with successful attack patterns for various agentic applications.
A Compliance Agent continuously maps the latest compliance standards to foundational attack workflows, ensuring alignment with regulatory requirements.
A Detector Agent works alongside the Attack Agent to verify if the attack's objective is achieved and provides feedback in a readable format for red teamers.
A Remediation Agent analyzes attack results, groups them, and suggests simplified remediation steps to the user.