Agentic AI applications — LLM-powered systems that take autonomous action against external tools, services, and APIs based on model reasoning rather than direct user instruction — have moved from research curiosity to production deployment fast enough that the security discipline is still catching up. The class of failures is operationally distinct from non-agentic LLM applications. The OWASP Agentic AI Top 10, published in early 2026, formalizes the risk taxonomy the industry has been converging on. The AWS Agentic AI Security Scoping Matrix (November 2025) provides the most widely-cited operational framework for thinking about agent capability boundaries. Anthropic's published research on browser-use agent security walks the specific defenses against indirect prompt injection in browser-controlling agents. This post walks the agentic-specific risk landscape, the defensive patterns that work in production, and how agentic security work fits inside the broader LLM application security verification covered in the ) apply to agentic systems with extensions for the agentic-specific risks. The threat modeling activities that anchor secure design (covered in the ) applies unchanged at the program level, with agentic-specific activities embedded in each phase.
The integration with the LLM Top 10 — covered in the .
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