Expert Services · Cybersecurity Audit

One audit across every AI tool you run.

Your org runs AI in chatbots, copilots, RAG pipelines, and agent workflows, each with its own logs, configs, and risk surface. We map the full stack, produce tamper-evident evidence, and deliver findings your security team and auditors can verify.

What it does

Multi-tool visibility, one evidence chain.

Instead of six separate questionnaires and siloed log exports, you get a unified cybersecurity audit with findings tied to verifiable records.

01

Tool inventory

Catalog every AI system in use, customer-facing chatbots, internal copilots, RAG pipelines, agent orchestrators, and embedded model APIs.

02

Cross-tool risk mapping

Identify data flows, access paths, and shared dependencies between tools. Surface where one weak link affects the whole stack.

03

Control assessment

Evaluate logging, redaction, access control, model versioning, and incident response across each tool against your security baseline.

04

Tamper-evident evidence

Every finding links to integrity-checked records on the Trustra chain, not screenshots or self-attested checklists.

05

Gap remediation plan

Prioritized findings with concrete next steps per tool, mapped to the frameworks your auditors and enterprise buyers ask about.

06

Audit-ready deliverable

Exportable report with verifiable evidence hashes your security team, board, and procurement reviewers can check independently.

What we audit

Every AI surface in your org.

The engagement covers the tools your teams actually use, not a generic checklist disconnected from your stack.

Customer chatbotsInternal copilotsRAG pipelinesAgent workflowsModel APIsFine-tuned modelsPrompt librariesVector storesGateway proxiesThird-party AI SaaS
MULTI-TOOL AUDIT · 7 SYSTEMS
support-chatbotverified
sales-copilotverified
hr-rag-pipeline2 gaps
ops-agentverified
code-assistantno logging
doc-summarizerverified
vendor-ai-api1 gap
chain integrity: intact · 847 records
How the engagement works

Scoped to your stack, delivered by our team.

A structured engagement that fits alongside your existing security program, not a replacement for it.

Week 1

Discovery & scoping

Map your AI tool landscape, data flows, and existing controls. Define audit scope and success criteria with your security and AI teams.

Weeks 2–3

Evidence collection

Instrument or connect to each tool via SDK, OpenTelemetry, or gateway. Build the tamper-evident record across your full stack.

Week 4

Findings & deliverable

Present prioritized gaps, remediation plan, and audit-ready report with verifiable evidence your team can share with auditors and buyers.

Service or software

Two ways to run the same audit.

This page describes the engagement our team delivers. The instrument behind it is also a product you can run yourself, in your own cloud, with your own auditors — the same knowledge warehouse, the same engine, and the same verifiable deliverable.

Explore the product →

Ready to audit your AI stack?

Tell us about your tools and requirements. Our experts will scope the engagement around your outcomes.

The platform

Explore the rest of the platform