Enhanced AI Red Teaming for AI Agents and Multi-Agent Systems
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Enhanced AI Red Teaming for AI Agents and Multi-Agent Systems

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Enhanced AI Red Teaming for AI Agents and Multi-Agent Systems

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.