When AI Systems Fail,
You Need Answers That Hold Up.
Independent, forensic-grade investigation of AI and LLM system failures. Root cause analysis, remediation validation, and readiness audits, delivered in a format your legal and compliance teams can act on.
The Regulatory Landscape
Is Shifting
AI regulation is moving from guidance to enforcement. Organisations deploying AI systems face growing obligations around transparency, accountability, and incident response. The question is no longer whether AI failures will be scrutinised, but whether you can withstand that scrutiny.
The EU AI Act creates direct liability for organisations deploying AI systems. When something goes wrong, 'we didn't know' is no longer a defence.
Most organisations lack the telemetry infrastructure to reconstruct what an AI system did and why. Without that, you cannot mount a defensible response.
Traditional DFIR firms understand network compromise. They don't understand prompt injection, hallucination chains, or embedding drift. The skill gap is real.
Cyber insurers are beginning to ask pointed questions about AI governance. The organisations that can demonstrate forensic readiness will be the ones that get coverage.
Forensic-Grade AI Analysis,
Structured for Accountability
From root cause investigation through to remediation validation and readiness audits. Every engagement delivers findings that your legal, compliance, and risk teams can rely on.
Post-Incident Root Cause Analysis
When an AI system produces harmful, incorrect, or unexplainable output, we conduct an independent investigation. We analyse inference logs, model behaviour, data pipelines, and prompt chains to identify the precise failure mechanism. Findings are delivered in a format suitable for legal proceedings, regulatory submissions, or board reporting.
Remediation Validation
After a failure has been diagnosed, we verify that the engineering fixes actually address the root cause. This includes testing guardrails, evaluating prompt boundary enforcement, validating retrieval pipelines, and confirming that monitoring gaps have been closed. Independent verification, not vendor self-certification.
Telemetry Readiness Audits
A structured assessment of your AI logging and monitoring infrastructure. We evaluate whether you're capturing the data needed to reconstruct model behaviour, identify failure modes, and satisfy regulatory obligations. Clear findings, prioritised recommendations.
AI Governance & Compliance Support
Ongoing support for organisations building AI governance frameworks that satisfy emerging regulatory requirements. We help you establish the policies, processes, and technical controls that demonstrate responsible AI deployment, before a regulator or insurer asks to see them.
Built for Risk, Legal,
and Compliance Teams.
AI failures don't stay in engineering. They land on the desks of legal counsel, compliance officers, risk committees, and insurance underwriters. Our work is structured for the people who have to act on the findings, not just understand them.
Legal & Compliance
You need evidence that holds up under scrutiny. Our analysis is structured for legal proceedings, regulatory submissions, and audit processes. We speak your language, not engineering jargon.
Cyber Insurance
Underwriting AI risk requires understanding AI failure modes. We provide independent forensic analysis that helps quantify claims and validate coverage decisions.
DFIR & Incident Response
When your engagement involves AI or LLM systems, we operate as a specialist subcontractor. We handle the AI-specific forensics while you manage the broader incident response.
Enterprise Risk
Your AI programme is expanding. So is your exposure. We help you build the forensic readiness and governance capability to manage that risk before it materialises.
Let's discuss your AI failure analysis requirements.
Whether you're dealing with an AI system failure, preparing for regulatory scrutiny, or need independent forensic analysis, we should talk.