AI agents are reshaping industries across the board, from streamlining workflows and automating complex processes to unlocking entirely new capabilities driven by Generative AI (GenAI). Their ability to operate autonomously, adapt in real time, and manage intricate tasks has made them indispensable in domains such as customer support, supply chain management, healthcare, and beyond.
However, this rapid adoption comes with significant challenges. AI agents introduce a new class of vulnerabilities that traditional security measures can't fully address. Without a comprehensive understanding of these unique risks, organizations could face severe consequences, including data breaches, system failures, or the misuse of AI capabilities in unintended ways.
To empower organizations and professionals in this evolving landscape, this GitHub project provides a meticulously crafted guide to the Top 10 Security Risks for AI Agents. By identifying key vulnerabilities and offering actionable solutions, it aims to bridge the gap between innovation and security, ensuring AI-driven progress doesn't come at the cost of safety.
What's Inside?
This comprehensive guide dives into the critical vulnerabilities of AI agents and provides actionable mitigation strategies to secure their deployments effectively. Each risk category includes detailed descriptions and real-world examples, ensuring you have the insights you need to protect your AI systems.
Why It Matters
As Generative AI (GenAI) becomes more integrated into business operations, understanding and addressing its security risks isn't optional—it's essential.
This project helps organizations:
✅ Identify and understand key AI agent security risks
✅ Implement robust mitigation strategies
✅ Design secure architectures for AI agent deployments
Key Risk Categories Covered
1️⃣ Agent Authorization and Control Hijacking
2️⃣ Agent Critical Systems Interaction
3️⃣ Agent Goal and Instruction Manipulation
4️⃣ Agent Hallucination Exploitation
5️⃣ Agent Impact Chain and Blast Radius
6️⃣ Agent Memory and Context Manipulation
7️⃣ Agent Orchestration and Multi-Agent Exploitation
8️⃣ Agent Resource and Service Exhaustion
9️⃣ Agent Supply Chain and Dependency Attacks
🔟 Agent Knowledge Base Poisoning
🔗 Explore the project and secure your AI agent systems: OWASP Top 10 for AI Agents - Candidate Framework
