Ai-security

Two AI products running the identical model can behave nothing alike. The difference is the agentic harness — the tools, memory, and loop wrapped around the brain. If the harness is what drives capability, it is also what drives risk, and almost nobody is reviewing it.

Smart, speed, secure — pick any two. That is the trade-off every enterprise AI team is quietly making. It only binds when security lives inside the application. Move it into a separate layer at the LLM gateway and MCP server, and you stop having to choose.

A study of 9,695 MCP servers found most are vulnerable, and popularity doesn't predict safety. Here's why SecuriX's MCP is safe by design—auth, policy, PII redaction, and audit built in.

Memory is the most important—and least mature—part of the AI agent stack. Here is how the Open Knowledge Format is finally making agent memory portable, and why that turns memory into a security boundary.

Why building an MCP security layer in-house is an architectural nightmare for B2B SaaS platforms and why offloading this infrastructure accelerates enterprise sales.