Structured, evidence-based safety testing of LLM-based applications against 11 AI governance principles — mapped to AI Verify, EU AI Act, and NIST AI RMF. We deliver a scored compliance report with per-principle findings, benchmark results, and actionable remediation guidance.
Not sure where your LLM application stands? Book a free 60-minute scoping call. We’ll map your system against the governance framework and identify your highest-risk gaps.
Book Free Scoping Call →Our methodology follows a structured Principles → Outcomes → Processes → Evidence chain — the same approach underlying Singapore’s AI Verify and the EU AI Act conformity requirements.
Overarching governance considerations your AI application must adhere to — derived from AI Verify, NIST AI RMF, ISO 42001, and EU AI Act.
Measurable outcomes defined for each principle, spanning both technical tests and non-technical process checks (policies, documentation, governance).
Actionable testing processes: baseline public benchmarks, domain-specific custom tests, component-level checks, and manual red teaming sessions.
Every process validated by documentary evidence — test logs, benchmark results, red team reports — forming your audit trail for regulatory compliance.
Every assessment covers all 11 principles. Each is scored (Yes / No / N/A) with evidence and a remediation recommendation where gaps are found.
We run Baseline Tests (public benchmark datasets) and Specific Tests (domain-aware scenarios + red teaming) across four core output risk areas, plus component-level checks on RAG, filters, and system prompts.
Generation of factually incorrect, ungrounded, or incomplete content that could mislead users in high-stakes contexts.
Generation of harmful, toxic, or legally prohibited content — including cultural and local legal context.
Unintended leakage of personal, organizational, or confidential information — GDPR Article 9 categories included.
Susceptibility to producing unsafe outputs when presented with intentionally crafted prompt attacks designed to bypass guardrails.
Every engagement concludes with a structured AI Safety Summary Report — a scored, evidence-backed compliance document suitable for internal governance, board-level reporting, enterprise customer due diligence, and regulatory submissions.
Fixed-scope, fixed-price engagements. Delivered remotely with optional on-site sessions for classified or air-gapped systems.
Book a free 60-minute scoping call. No commitment required — we’ll assess your system, identify the highest-risk gaps, and recommend the right package.
Response within 1 business day • [email protected]