GenAI Security, Evaluation & Assurance Assessment
Get an independent, evidence-based view of your production GenAI posture. We assess security, privacy, reliability, and Responsible AI controls - then deliver a severity-rated findings report with evidence, remediation actions, and an audit-ready assessment pack.
- For production copilots, RAG, and agentic systems
- Covers data boundaries, tool access, evaluation, and traceability
- Aligned to EU AI Act and ISO/IEC 42001 evidence expectations
The Challenge
GenAI risk is easy to underestimate: impressive demos hide prompt injection paths, unclear data boundaries, over-permissioned tools, and controls that exist on paper but are not testable.
When incidents happen, organizations often lack the evidence to explain what occurred, why it occurred, and how to prevent recurrence - creating operational and regulatory exposure.
Our Approach
We run a focused, system-level assessment across architecture, retrieval/tool contracts, identity and access, guardrails, observability, evaluation practices, and governance evidence.
Findings are documented with clear severity, reproducible evidence, and prioritized remediation - so you can launch, scale, or certify with confidence.
Key Outcomes
Core Deliverables
Findings Report (Severity Rated)
A clear narrative of material risks and control gaps, backed by evidence - structured for executive and engineering consumption.
- Risk register: severity, likelihood, impact, and recommended actions
- What matters now vs what can be sequenced later (practical prioritization)
Critical Infrastructure Provider
The Context
Assessed a production RAG deployment handling sensitive engineering data to validate leakage controls and governed access.
The Outcome
Result: Severity-rated findings and remediation plan delivered; deployment proceeded with stronger boundaries, evidence, and assurance gates.