Agentic AI systems — LLMs with access to tools, APIs, and execution capabilities — can autonomously perform multi-step tasks: sending emails, querying databases, executing code, and making API calls. Security testing covers: can prompt injection cause the agent to take unintended actions? Are tool permissions properly scoped? Can the agent be manipulated to exfiltrate data through its tool access? Are there guardrails preventing destructive actions? And does the agent maintain security boundaries when operating across multiple contexts?
AI Security
LLM Agent Security: Testing Autonomous AI Systems That Take Actions for Malaysian Enterprises
Agentic AI systems execute multi-step actions autonomously. Security testing for tool use, permission boundaries, and prompt injection in agents. Guidance for MY market.