The active TRZT audit for modern AI systems
We deliver the TRZT audit—an AI-first assurance framework with continuous probing and authorized access to your live website under rules of engagement to surface security and privacy issues early.
What changes when AI is in scope
- Prompt and retrieval layers become attack surfaces.
- Vector stores need security and privacy controls.
- Hallucination risk must be tested and monitored.
- Model changes require formal change management.
Traditional SOC 2 does not cover AI risk
- SOC 2 was built for classic SaaS systems.
- AI introduces prompt injection, model drift, and data leakage.
- Auditors now expect evidence of AI-specific controls.
- SOC 2 is a periodic CPA attestation, not an active, ongoing audit.
Our answer
TRZT is a separate, active audit built for AI risk. We provide a SOC 2 crosswalk so buyers can compare coverage without conflating the audits.
- Security, confidentiality, availability
- AI processing integrity and safety
- Evidence-ready control mapping
What we deliver
TRZT audit readiness
Scope, gap analysis, control design, and audit preparation for the TRZT audit.
AI assurance modules
Prompt security, vector access controls, evaluation harnesses, and safety monitoring.
Evidence operations
Automated evidence collection, auditor walkthroughs, and continuous compliance.
Vendor and model risk
Third-party model reviews, retention terms, and dependency mapping.
Governance and policy
AI oversight, change control, and risk registers aligned to TRZT criteria.
Board-ready reporting
Clear dashboards and narratives for customers, auditors, and leadership.
AI assurance mapped to TRZT criteria
We maintain a SOC 2 crosswalk for comparison, but TRZT is a standalone audit.
Security
Model access controls, prompt injection defenses, red team testing.
Confidentiality
Data lineage, output filtering, policy enforcement, PII scrubbing.
Availability
Model dependency SLAs, fallback strategies, inference monitoring.
Processing integrity
Evaluation harnesses, quality gates, hallucination tracking.
Privacy
Data minimization, retention, consent workflows.
How it works
Scope and risk map
Define system boundaries, AI components, and control requirements.
Control design
Implement policies, security controls, and AI governance.
Evidence and readiness
Collect evidence, close gaps, and rehearse auditor walkthroughs.
Active audit window
Run continuous probing against live websites and systems under agreed rules of engagement and deliver findings.
Frameworks we align with
- NIST AI RMF
- ISO/IEC 42001
- OWASP LLM Top 10
- MITRE ATLAS
Built for AI-first organizations
AI-first SaaS
Products shipping model-driven features to customers.
Enterprise AI teams
Internal automation and knowledge systems with strict governance needs.
Regulated industries
Healthcare, finance, and critical infrastructure adopting AI.
Proof points
- Typical readiness in 8-16 weeks depending on gaps.
- Audit specialists and AI engineers on the same team.
- Controls designed to withstand procurement and due diligence.
Build trust in your AI systems
Tell us your timeline and AI use cases. We will scope a TRZT audit plan.