AI RISK ASSESSMENT

Inspect What You Expect:
Uncovering Hidden Risks

In the rush to deploy AI, organisations often overlook the “Black Box” problem. Modern AI systems are assembled from a complex web of third-party models, APIs, and datasets. We provide deep-dive assessments to illuminate the invisible risks in your architecture.

Our Core Services

AI Supply Chain Risk

Your AI application is only as secure as its weakest dependency. We map your entire supply chain.

  • Vendor & API Due Diligence:
    Auditing providers like OpenAI & Anthropic for security SLA matches.
  • Dependency Mapping:
    Identifying "fourth-party" risks to understand blast radius.
  • Open Source Scanning:
    Checking Hugging Face models for backdoors or malicious code.

Model Provenance

"Do you know where that model learned what it knows?" Provenance prevents massive liability risk.

  • Training Data Lineage:
    Tracing dataset origins to ensure commercial usage rights.
  • License Compliance:
    Checking models (Llama, Mistral) for Apache 2.0 vs Non-Commercial restrictions.
  • Integrity Checks:
    Ensuring model weights haven't been "poisoned" during transit.

Data Privacy (DPIA)

Standard privacy assessments fail on probabilistic AI. We conduct specialised
DPIAs.

  • Training vs. Inference:
    Assessing risks where data is memorised vs processed.
  • Inversion Attack Resilience:
    Evaluating risk of revealing PII through prompt hacking.
  • GDPR & CCPA Alignment:
    "Right to be Forgotten" mechanisms within neural networks.

The Risk Spectrum

We categorise findings to help you prioritise remediation efforts:

Critical
IMPACT EXAMPLE
Model leaks customer PII; Training data violates copyright.
ACTION REQUIRED
Immediate Kill Switch / Re-architecture.
High
IMPACT EXAMPLE
Heavy reliance on a single, unstable API provider; No human-in-the-loop.
ACTION REQUIRED
Mitigate immediately via redundancy or policy.
Medium
IMPACT EXAMPLE
Lack of version control on prompts; Unclear data retention limits.
ACTION REQUIRED
Plan remediation in next sprint.
Low
IMPACT EXAMPLE
Documentation gaps; Minor efficiency issues.
ACTION REQUIRED
Monitor and improve over time.

Why Assessment Cannot Wait

Deploying AI without a specialised risk assessment exposes you to unique threats that traditional cybersecurity tools miss
Legal defensibility
in the event of IP disputes.
Operational resilience
against vendor outages.
Customer confidence
regarding data handling.

The "Poisoned" Supply Chain

In 2024 alone, researchers found hundreds of malicious models on public repositories disguised as popular tools. Without provenance verification, you might be importing a backdoor directly into your secure environment.

Secure your innovation pipeline.

Don’t let a hidden dependency become a headline. Let’s validate your architecture today.
REQUEST AN AI RISK AUDIT