AI assurance and model governance.

Connect model risk, controls, documentation, and evidence across global standards and local requirements.

Request a demoHow it works
Detectif.ai/Example workspace
Find a recordJR

Decision record

Review trail · CALL-0082

Record available
Current dispositionEscalated for review

Policy requires a person to approve this change.

  1. Audio checkedRelevant segment linked to the record
  2. Identity comparedEnrolled reference and policy recorded
  3. Policy appliedAccount change requires a second check
  4. Human review requestedAssigned to the account support queue

How it works.

  1. Inventory the system

    Identify the model, owner, use case, and decision boundary.

  2. Describe the risk

    Map impact, failure modes, oversight, and evidence.

  3. Validate the claim

    Tie behaviour to evaluation data and operating limits.

  4. Maintain the record

    Track controls, changes, incidents, and reviews.

See each stage on a live call

Test identity controls against the cloned voice they will actually face.

Check both speech authenticity and the enrolled speaker before advancing a sensitive request.

See it on your call flow
Audio streamExample
Who is speaking?84.2%
Speaker matchpass above 90.0
Is the voice real?31.0%
Synthetic riskblock above 5.0
BlockCloned voice · control held

Technical assurance services.

Technical assurance across privacy compliance, identity controls, and voice channels.

  1. Assess
  2. Attack
  3. Remediate
  4. Assure
  • Independent privacy compliance audits
  • 60-70 control assessment
  • Gap analysis and remediation roadmap
  • Video KYC, onboarding, call centres, and identity channels
  • Deepfake and voice attack simulation
  • Adversarial testing of identity controls
  • Technical assurance, not just paperwork reviews
Reference frameworks and requirements
ISO/IEC 42001AI management system
NIST AI RMFRisk framework
EU AI ActAI regulation
Data protection lawPrivacy requirements in your jurisdiction
Model-risk guidanceRegulator expectations for models
AI governance guidanceRegulator frameworks for AI use
KYC and remote identity rulesCustomer identification controls
Cybersecurity directivesSecurity and incident requirements
SOC 2 / ISO 27001Security assurance

Map global frameworks alongside the privacy, model-risk and identity requirements of your jurisdiction. Reference mapping only, not certification, legal advice, or regulatory approval.

Scope an assessmentDeepfake attack simulation

Built for the operating decision.

Control mapping

Relate controls to the concrete decision flow.

Readiness support

Structure evidence for governance and assessment.

Traceable ownership

Make owners, reviewers, and revalidation explicit.

Request a demoDeployment options

Plan the deployment.

Readiness and implementation support do not constitute certification, legal advice, or regulatory approval.

Talk to the team
  1. Which AI-supported decision is in scope?
  2. Who owns and reviews it?
  3. What evidence must be retained?
  4. Which changes trigger revalidation?

Related offerings.

AletheiaDeepfake detectionDetect synthetic, cloned and replayed speech.EidosSpeaker verificationCompare the speaker with the enrolled customer.NoesisCall intelligenceClassify the recipient and route the call.LexisVoice agentsRun voice workflows with verification built in.

Test it on your own call traffic.

A 30-minute walkthrough of your highest-risk call flow, then an evaluation on audio from your own lines.

Request a demo