Genai Security
Genai Security is a specialized security framework designed to address vulnerabilities and risks inherent to AI agentic applications. It adapts established security standards—particularly the OWASP Top 10—to the unique threat landscape created by autonomous AI agents that can take independent actions in external systems. Unlike traditional application security, which focuses on protecting static software interfaces, genai security must account for the dynamic decision-making processes of AI systems and the real-world consequences of their autonomous actions.
Key Distinctions from Traditional Security
Traditional security frameworks assume human control over system actions and operate within predictable, well-defined workflows. Genai security addresses the additional risks introduced when AI agents operate with partial autonomy, including the ability to modify data, trigger transactions, or interact with external services without explicit human authorization for each action. This introduces novel attack vectors such as prompt injection, model manipulation, and unintended agent behaviors that fall outside conventional security threat models.
OWASP Adaptation for AI Systems
The framework applies OWASP’s established risk categories—including injection attacks, broken authentication, and sensitive data exposure—while addressing AI-specific variants. It also encompasses risks unique to agentic systems, such as model poisoning, tool misuse, hallucination-induced actions, and inadequate validation of agent outputs before execution. The security posture must extend beyond the application layer to include model integrity, prompt design, access control for agent actions, and monitoring of autonomous decision-making.
Source Notes
- 2026-04-08: Top 10 Security Risks in AI Agents Explained
- 2026-04-07: OWASP Top 10 Security Risks for AI Agentic Applications Report · ▶ source
- 2026-04-21: Claude Mythos · ▶ source