Security

Most teams bolting on LLM guardrails treat prompt injection as a 'validate the input' problem. It isn't. The user input IS the instruction context; there's no input-control separation to validate against. The model holds attacker-controlled text and trusted capabilities in the same context, and the prompt convinces it to combine them.

Every LLM in production is a confused deputy. When the prompt overrides the system instruction, the deputy carries out the attacker's intent with the system's authority. The mitigation isn't filtering, it's containment. Tool-permission scoping, deterministic gates, runtime audit, defense in depth.

The deterministic gate is the only honest mitigation for hallucination as a security risk. Verum's own architecture is the proof: load-bearing decisions live in code, the LLM contributes extracted facts and synthesis texture, and the production loop runs unchanged whether the model is right, wrong, or made-up. Hallucination becomes non-load-bearing texture instead of a critical-path failure.

A pen-test report doesn't make you secure. A red-team engagement reveals what your detection actually catches, what your runbooks actually contain, and what your team actually does at three in the morning.

We don't write findings to a PDF and disappear. We work alongside your blue team to close, verify, and re-test until the chain is broken. The first engagement maps your kill chain end-to-end; each subsequent engagement measures the delta and quantifies operational improvement.

We engage on a rolling cadence rather than a one-shot annual assessment. Tabletops quarterly, simulated breaches semi-annually, full kill-chain walkthroughs annually. Security operations is a muscle; we exercise it.