Testing and monitoring for LLM agents, copilots and enterprise AI — hallucinations, jailbreaks, prompt injection and the failure modes that surface only in production.
An LLM demo rarely shows what breaks at scale: confident hallucinations, jailbreaks, prompt injection, inconsistent outputs, runaway cost and latency. LLM Assurance puts an agent through adversarial and operational testing so you ship with evidence, not hope.
One principle: before trusting a system, we try to break it — in a controlled, documented way. We work across context, data, performance, calibration, robustness, bias, drift, fragility, overfitting and operational risk, then summarize a Proof Score and recommendations.
Delivered as an LLM Assurance Audit (from €2,500). The fastest way to start is an LLM Assurance Snapshot.
Related: AI Model Assurance · Algorithm Assurance · Methodology · Pricing · Sample report · Contact
Yes — we probe for confident but false or unsupported outputs and catalogue them by severity.
Yes — prompt injection, jailbreaks and unsafe-output paths are part of the audit.
Yes — agent failure, tool misuse, refusal behaviour, cost drift and latency are covered.
Yes — we recommend guardrails, evals and monitoring to catch failures in production.