Safe, compliant, and trustworthy AI — validated before and after it reaches production.
AI output runs a gauntlet of governance gates — most pass, risky ones get flagged. Tap a gate.
We don't just advise on AI governance — we ship it. CodeMerlin.ai is our AI-native engineering governance platform, putting these practices to work every day.
We treat AI governance as a first-class engineering discipline, not a checkbox — adversarial red-teaming for prompt injection, jailbreaks, and data exfiltration, paired with structured bias and output-quality evaluation across representative scenarios.
Governance frameworks map directly onto your existing compliance posture — including our ISO/IEC 27001-aligned information security management system — so AI governance reinforces, rather than duplicates, your security program.
Systematic testing for prompt injection, jailbreaking, and data leakage.
Structured scoring across representative, real-world scenarios.
Output controls and policy enforcement outside the model, deterministic and auditable.
Logging and evidence mapped to ISO/IEC 27001 and your existing controls.
Validation before launch and continuous assurance after — not a one-time sign-off.
Probing for prompt injection, jailbreaks, and data exfiltration before attackers do.
Measuring and reducing biased or unfair behavior across groups.
Structured, repeatable scoring of accuracy and helpfulness.
Deterministic controls outside the model that enforce your rules.
Every prompt, output, and decision recorded for review.
Aligning AI governance with your existing security and compliance posture.
Governance turns 'we hope it's safe' into evidence you can show users and auditors.
Find unsafe or low-quality behavior before your users — or regulators — do.
Coverage against the known, exploited classes of LLM attacks.
Documented evaluation and controls that stand up to scrutiny.
Built on your ISO/IEC 27001 foundation, not a parallel program.
Logs, model cards, and reports that prove due diligence.
Teams move faster when they can trust — and demonstrate — that AI is safe.
Security, evaluation, and compliance engineering for AI systems.
Red-team, guardrail, and evaluation tooling mapped to recognized standards.
Profile your AI's threat model, data sensitivity, and compliance needs.
Adversarially test for injection, jailbreaks, and leakage.
Score bias, fairness, and output quality on real scenarios.
Deploy deterministic controls and policy outside the model.
Log, watch, and re-test continuously as the system evolves.
Consultation is free. Let's pressure-test your AI and prove it's safe to ship.
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