AI security engineering

Make the AI request path visible and defensible.

We map where prompts, retrieved data, tools and outputs travel, assess the production path against the OWASP GenAI LLM Top 10 2026, and implement one prioritized control inside your environment.

The security loop

Map. Assess. Remediate.

A framework name is only useful when every finding points to evidence, an owner and a control that can be retested.

01

Map the request path

Trace prompts, retrieved data, model calls, tools, outputs, identities and logs across the real production flow.

OutputA data and trust-boundary diagram with named owners.
02

Assess applicable risks

Review the path against the OWASP GenAI LLM Top 10 2026 and test the controls that should contain each relevant failure.

OutputEvidence attached to every applicable finding, not a generic checklist tick.
03

Fix and retest

Implement one prioritized guardrail, permission, redaction or output-handling change and test the path again.

OutputA versioned remediation record with open, mitigated and accepted risks.

The report

Evidence, ownership and retest status.

The output is designed for engineering and risk teams to work from after we leave, with the framework release and assessment date stated explicitly.

  1. 01
    AI system and data-flow map

    Models, retrieval stores, tools, identities, external calls and the points where sensitive data crosses a boundary.

  2. 02
    Versioned findings register

    Framework version, affected path, evidence, exposure, owner, remediation priority and acceptance criteria.

  3. 03
    Control implementation

    One agreed change built in your environment, such as redaction, least-privilege tool access, output validation or an approval gate.

  4. 04
    Retest and handover

    Status after remediation, residual risk, runbook and the checks your team should repeat when the system changes.

Straight answers

The questions buyers actually ask.

One production path. Ten days. Findings you can act on.

Put evidence behind your AI security review.

Bring one AI feature and the people who own its application, data and risk decisions. We will map it, assess it, implement one priority control and leave the findings register with your team.

Start an AI Optimization Audit