What does exposed AI infrastructure actually look like in the wild? We’re demoing it live.

Join AIMap creator Aashiq Ramachandran as he maps, fingerprints, and tests publicly exposed AI systems in real time. From agent frameworks to exposed model endpoints, this session explores the vulnerabilities that exist within AI infrastructure and how you can gain better visibility into your AI attack surface.

You’ll see how to:

• Discover/fingerprint your exposed AI infrastructure
• Analyze authentication, configurations, and tool exposure
• View risk scoring based on real-world conditions
• See how attackers can exploit found vulnerabilities

Who Should Attend:

Security engineers, penetration testers, red teamers, and security architects building or evaluating AI infrastructure.

Usage Policy and Legal Disclaimer:

AIMap is an open source tool developed by Bishop Fox to support defensive security, research, and authorized testing of AI and machine learning systems. Its purpose is to help organizations identify, analyze, and reduce risk across an expanding AI agent attack surface. This tool is intended for use only on systems that you own or have explicit permission to assess. Unauthorized use against systems without consent may violate laws and regulations.

AIMap includes capabilities that simulate real-world attack techniques in order to help defenders better understand exposure and validate security controls. These capabilities are provided to improve defensive readiness, not to enable misuse.

Bishop Fox does not support or condone the use of this tool for illegal, unauthorized, or malicious activities. Use of AIMap is at your own risk, and the authors assume no liability for misuse or damage resulting from its application. By using this tool, you agree to use it responsibly and in accordance with all applicable laws and accepted security testing practices.