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

Jun 14, 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
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 has released a playbook for red teaming Agentic AI systems, addressing the unique security challenges posed by these autonomous systems. The guide focuses on practical testing methods, highlighting specific threat categories and tools to enhance security practices among professionals in AI and cloud security.

Detailed Description: The newly released “Red Teaming Testing Guide for Agentic AI Systems” by the Cloud Security Alliance (CSA) is a crucial resource intended for security experts, AI engineers, and researchers focusing on the testing and mitigation of risks associated with Agentic AI systems. Unlike traditional generative models, Agentic AIs possess autonomous capabilities that necessitate specialized security measures.

Key Points:

– **Agentic AI vs. Generative AI**: The guide distinguishes Agentic AI, capable of planning and executing actions independently, from traditional generative models.

– **Importance of Red Teaming**: The report emphasizes the necessity of red teaming—simulating adversarial threats—to ensure the safety and resilience of these advanced systems.

– **Emerging Threat Categories**: The guide identifies 12 high-risk threat categories associated with Agentic AI, including:
– **Authorization & Control Hijacking**: Exploiting vulnerabilities in permission layers.
– **Checker-Out-of-the-Loop**: Bypassing human oversight during critical actions.
– **Goal Manipulation**: Redirecting agent behavior using adversarial inputs.
– **Knowledge Base Poisoning**: Corrupting long-term memory or shared knowledge.
– **Multi-Agent Exploitation**: Collusion or orchestration-level attacks among agents.
– **Untraceability**: Masking agent actions to evade accountability.

– **Testing Methodology**: Each identified threat includes frameworks for test setups, objectives for red teams, metrics for evaluating effectiveness, and mitigation strategies.

– **Recommended Tools**: The CSA encourages the use of specific agent-focused security tools such as:
– **MAESTRO**: A foundational framework for assessing Agentic AI systems.
– **Promptfoo’s LLM Security DB**: A database for managing security regarding large language models.
– **SplxAI’s Agentic Radar**: A tool for identifying and managing risks in agent behavior.
– **Salesforce’s FuzzAI** and **Microsoft Foundry’s agents**: Experimental resources suggested for red teamers.

– **Continuous Testing**: The CSA advocates for continuous testing as an essential security baseline, moving beyond static threat modeling. This includes:
– Simulation-based testing.
– Scenario walkthroughs.
– Comprehensive assessments to be integrated into the AI systems’ development lifecycles.

The CSA’s research team asserts that the guide is practical and focused on real-world applications, especially in sensitive sectors like finance, healthcare, and industrial automation, making it an invaluable tool for professionals engaged in AI security and compliance. The complete guide is accessible on the Cloud Security Alliance’s website, serving as a guide for improving security frameworks around Agentic AI.

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