AI Red Teaming assess AI agent-specific vulnerabilities like tool misuse and intent
manipulation to address the expanded attack surface of autonomous agentic
systems.
You can now leverage Prisma AIRS AI Red Teaming's enhanced capabilities to
comprehensively assess the security posture of your autonomous AI agents and
multi-agent systems. As your organization deploys agentic systems that extend beyond
traditional AI applications to include tool calling, instruction execution, and
system interactions, you face an expanded and more complex attack surface that
requires specialized security assessment approaches. This advanced AI Red Teaming
solution addresses the unique vulnerabilities Inherent in generative AI agents by
employing
agent-led testing methodologies that craft
targeted goals and attacks specifically designed to exploit agentic system
weaknesses.
When you configure your AI Red Teaming assessments, the system
automatically tailors its approach based on your target endpoint type, enabling you
to uncover critical vulnerabilities such as tool misuse where malicious actors
manipulate your AI agents to abuse their integrated tools through deceptive prompts
while operating within authorized permissions. The solution also identifies intent
breaking and goal manipulation vulnerabilities where attackers redirect your agent's
objectives and reasoning to perform unintended tasks.
This targeted approach ensures you can confidently deploy AI agents in
production environments while maintaining robust security controls against the
evolving threat landscape targeting autonomous AI systems.