Campus Technology: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems

Jun 13, 2025

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Source URL: https://campustechnology.com/articles/2025/06/13/cloud-security-alliance-offers-playbook-for-red-teaming-agentic-ai-systems.aspx?admgarea=news
Source: Campus Technology
Title: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems

Feedly Summary: Cloud Security Alliance Offers Playbook for Red Teaming Agentic AI Systems

AI Summary and Description: Yes

Summary: The Cloud Security Alliance (CSA) has published a comprehensive guide for red teaming Agentic AI systems, addressing the security challenges of autonomous AI. This guide is essential for security professionals, AI researchers, and engineers as it outlines practical testing methods for assessing and improving the safety and resilience of such systems.

Detailed Description: The guide from the Cloud Security Alliance focuses on the emerging field of red teaming specifically for Agentic AI systems, which have unique security dynamics compared to traditional models.

– **Key Highlights**:
– **Agentic AI Definition**: Agentic AI exhibits advanced capabilities such as independent planning, reasoning, and action execution in both real and virtual contexts.
– **Importance of Red Teaming**: Red teaming is crucial for identifying vulnerabilities and simulating adversarial threats to enhance system safety and resilience in autonomous environments.

– **Shift from Generative AI to Agentic AI**: The document emphasizes that Agentic AI creates new attack surfaces, which differ from those of generative models. This shift necessitates innovative testing frameworks and methodologies.

– **Twelve Agentic Threat Categories**: The guide identifies 12 critical threat areas:
– **Authorization & Control Hijacking**: Exploiting permission gaps.
– **Checker-out-of-the-loop**: Bypassing safety measures.
– **Goal Manipulation**: Redirecting agents using adversarial inputs.
– **Knowledge Base Poisoning**: Corrupting memory or knowledge spaces.
– **Multi-agent Exploitation**: Collaborating agents to execute attacks.
– **Untraceability**: Masking actions to avoid detection.

Each category includes:
– Defined test setups
– Red team objectives
– Evaluation metrics
– Suggested mitigation strategies

– **Tools for Red Teamers**: The guide encourages utilizing and extending existing agent-specific security tools. Notable mentions include:
– **MAESTRO**: A framework for operational scenarios.
– **Promptfoo’s LLM Security DB**: A database for LLM security.
– **SplxAI’s Agentic Radar**: A tool for monitoring Agentic actions.
– Experimental tools like **Salesforce’s FuzzAI** and **Microsoft Foundry’s red teaming agents**.

– **Continuous Testing Approach**: The CSA stresses the importance of continuous validation through simulation-based testing, integrating red teaming into the AI development lifecycle—particularly for systems operating in critical domains such as finance, healthcare, and industrial automation.

This guide serves as a critical resource for professionals seeking to navigate the complex security landscape of autonomous AI, emphasizing actionable strategies and the need for ongoing evaluation and adaptation in security practices.

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