Enterprise Application Security
Security for the software you build and run — threat modelling, secure SDLC, access control, and secrets management, plus the AI-specific controls (prompt injection, tool abuse, data leakage) that keep agentic systems safe in production.
Enterprise application security is the practice of building and running software that stays safe under real-world attack — through threat modelling, a secure development lifecycle, least-privilege access control, disciplined secrets management, and defence-in-depth. It is engineered into the system, not bolted on before launch.
Where AI is involved, the surface expands: an AI agent that takes actions must treat all retrieved and tool content as untrusted (prompt injection), scope every tool to least privilege (tool abuse), and keep consequential actions behind validation and human approval. The same rigour that governs a traditional service now governs the model that acts on its behalf — part of the operational discipline in Enterprise LLMOps.
The cluster below covers the controls enterprise buyers actually ask about, keeping credentials out of code, safe production change, and what "production-ready" really means for a system that has to be secure.