Audit Standards & Assurances

How Burghley AI Services handles the standards and safeguards behind every AI-usage audit engagement, so your team's pull requests, codebase, and proprietary code stay protected throughout.

gavel

Confidentiality & Data Handling

SCOPED CLIENT DATA ACCESS

Access to your repositories and pull requests is scoped to the engagement, retained only for its duration, and never used to train any external AI tool on your code.

ENGAGEMENT DOCUMENTATION

Every audit produces a documented report and usage policy, reviewed against a consistent internal reporting standard before it reaches your team.

fact_check

Methodology

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    Audit Methodology Standard

    Every engagement follows a documented internal methodology for reviewing codebases and AI usage, so findings are consistent, repeatable, and defensible.

What the Audit Covers

Every engagement audits the same ground: pull requests, codebases, and day-to-day AI usage across the team.

architecture

Engagement Safeguards

lockScoped repository access
visibility_offFindings anonymization
fact_checkHuman review before delivery
delete_foreverSecure data destruction
Report Turnaround
Set at Scoping
Data Handling
Encrypted & Scoped
Confidentiality
NDA on Request
Engagement Model
One-Off or Retainer

Book an Audit

Book an audit and we'll review your pull requests, codebases, and day-to-day AI usage, then turn our findings into one practical policy your team can follow.