AI Agent Security
As enterprises deploy autonomous AI agents with access to internal databases and external APIs, the attack surface shifts dramatically. This topical pillar covers the vulnerabilities, threat models, and defense strategies for AI agents.
The AI Agent Attack Surface
Unlike traditional chatbots, AI agents possess 'agency'—the ability to execute tools and modify state. This introduces critical vulnerabilities such as indirect prompt injection leading to Remote Code Execution (RCE) and unauthorized data exfiltration.
Core Vulnerabilities
Our research highlights the most prevalent attack vectors against agentic architectures.
- >Indirect Prompt Injection via malicious web scraping
- >Tool Abuse & Server-Side Request Forgery (SSRF)
- >Agent Identity & Authorization bypass
- >Agent-to-Agent Security manipulation
- >Excessive Agency & privilege escalation
AI Red Teaming & Defense
Defending autonomous agents requires specialized AI Red Teaming. We validate AI boundary controls, implement robust output sanitization, and conduct AI Security Governance audits.