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AI-01 // Service brief

Secure AI Engineering

Build automation with explicit authority and evidence.

AI agents and model-powered systems designed around bounded permissions, observable execution, evaluation, and human control.

Scope this engagement All services

When to engage

Signals this service is the right next step.

  • An AI use case needs bounded permissions and observable execution.
  • A prototype must become a secure, supportable production system.
  • Evaluation, guardrails, and human approvals need engineering into the workflow.

Scope

What we examine

  • Agent architecture
  • RAG and data pipelines
  • Evaluation and guardrails
  • Human approval workflows

Deliverables

What your team receives

  • Production implementation
  • Architecture documentation
  • Evaluation suite
  • Operational handover

Methods and references

Standards-aligned, scope-specific delivery.

Frameworks guide coverage and consistency. Engagement scope, legal authorization, business context, and evidence determine how they are applied. Technology references describe assessment coverage and do not imply vendor partnership.

NIST AI RMFOWASP LLM guidanceNIST SSDFSecure-by-design principles
01

Authorize

Confirm scope, owners, constraints, evidence handling, and rules of engagement.

02

Examine

Collect evidence and test the paths relevant to your systems and risk.

03

Prioritize

Translate technical findings into business decisions and fix priorities.

04

Verify

Support remediation and confirm that material issues are resolved.

Start with a confidential scoping conversation

Tell us what decision, incident, or assurance requirement is driving the work.

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