Turn AI use case review into an assurance decision package
DeepAudit helps teams assess readiness, run authorised behavioural audits, trigger specialist reviews, and prepare SafeSpeed-ready handoff inputs for runtime control configuration.
Why DeepAudit
DeepAudit is the pre-deployment AI assurance platform that helps organisations assess readiness, identify governance gaps, route specialist reviews, and generate evidence-based approval outputs before AI systems go live.
Informed by international AI governance guidance, including the Voluntary AI Safety Standard, the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001.
DeepAudit focuses on pre-deployment assessment, evidence collection, and handoff compilation. It does not monitor active production systems, activate live runtime gateway rules, or enforce circuit breakers.
How it works
DeepAudit implements a progressive assurance pipeline from initial declaration to runtime handoff:
What the report answers
DeepAudit delivers a structured AI Use Case Assurance Decision Report that answers the core questions required by AI safety committees, risk officers, and technical leads:
1. Which behavioural tests are relevant?
Contextually scopes adversarial cases based on RAG access, tool usage, and functional pattern mapping.
2. What failures or evidence gaps were found?
Exposes simulated bypasses, unsafe model outputs, or undocumented validation boundaries.
3. Which specialist teams need to review?
Triggers targeted review routing for Cyber Security, Privacy, AI Governance, Legal/Compliance, and Human Oversight.
4. Can the use case proceed, be deferred, or require remediation?
Applies automated gating rules to determine standard deployment status and owner-level risk sign-offs.
5. What evidence is required for closure?
Lists the exact retest scan runs or reviewer validations needed to resolve open assurance gaps.
6. What findings should be passed to SafeSpeed for runtime control configuration?
Compiles a draft handoff package of policy candidate templates, monitoring signals, and threshold recommendations.
INTERACTIVE FLOW ENGINE
End-to-End Governance Lifecycle
See how Deep Audit maps business context to automated readiness checklists, runs active safety scenarios, and compiles runtime protection controls.
Use Case Definition
Establish AI System Readiness
Verify compliance checkpoints, define your scope of evaluation, and determine readiness stage before configuring behavioral simulations.