AI drift auditor

See the drift. Own the risk.

DriftMap audits the operational gaps hiding between AI policy, daily workflows, and accountable action—before they become incidents.

Policy · risk · operations · accountability

$ driftmap audit --org acme-corpLIVE SCAN

Operational drift index73%

Scanning operations across four quadrants…

Clarity over chaos

Governance that holds under pressure.

Evidence-led

Actual tools, workflows, controls, and owners—not generic maturity theater.

Executive-ready

Technical exposure translated into operating consequences leaders can prioritize.

Actionable

A defined sequence of decisions, owners, and control improvements.

The DriftMap framework

The audit makes the invisible work around AI visible—then maps which gaps carry the most risk and who can close them.

01 / Policy vs. reality

Find where AI-created logic and automated decisions outpace approved rules, review, and documentation.

02 / The insurance illusion

Trace real exposure back to accountable owners before an outage, leak, or audit asks the question for you.

03 / Operational friction

Surface the time and cost of rework created by fragile AI shortcuts, unpatched configuration, and unclear controls.

04 / Control that holds

Design practical ownership, escalation, and operating rules that connect security intent to everyday work.

Assessment formats

Choose a focused diagnostic for one critical workflow or commission a broader AI drift audit across teams, systems, and controls.

Engagement standard

Control review

Policy, tooling, and review practices tested against real use.

Named ownership

Clear decision rights and escalation paths for each material gap.

Before the next incident

Start with the workflow your team trusts least. We’ll help expose the gap, identify the owner, and define the next practical control.

Scoping begins with a focused conversation.