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AI Security Audits

Independent security testing for AI applications

The biggest new opportunity in security — and our chance to compete beyond the incumbents. AI Security Audits apply the BugsTrace Guardian methodology to test chatbots, copilots, RAG systems, and tool-using agents for the AI-specific risks traditional audits miss entirely.

Full-stackprompt to runtime
Red teamattack simulation
Retestafter remediation
The problem

Your AI can leak data and take unsafe actions.

AI applications introduce risks no traditional audit covers: prompt injection, jailbreaks, system-prompt leakage, RAG document exposure, cross-tenant data access, and agents tricked into unauthorized tool calls.

An AI Security Audit answers the questions your customers and board are asking: Can users jailbreak our chatbot? Can our agent be tricked into taking unauthorized actions? Can our RAG system leak private documents? And can we prove the system has been tested and secured?

Capabilities

Audit the full AI application.

Powered by the Guardian methodology — covering the prompt, model, RAG, agent, tool, and data layers.

01

Prompt injection & jailbreaks

Direct and indirect injection, role override, encoding attacks, multi-turn manipulation, and jailbreak chaining against your live system.

02

RAG security testing

Document access control, tenant separation, metadata-filter enforcement, retrieval poisoning, and private-document leakage checks.

03

Agent & tool abuse

Maps every tool and permission, then tests tool-call authorization, human approval gates, privilege escalation, and destructive-action boundaries.

04

Data leakage detection

Static and dynamic testing for API keys, tokens, PII, source code, and secrets leaking through prompts, outputs, logs, or memory.

05

System prompt review

Reviews instruction hierarchy, prompt-template injection, user-controlled variables, and missing refusal or data-handling rules.

06

Audit-grade reporting

Technical, executive, and developer-fix reports with evidence, severity, reproduction steps, recommended fixes, and a retest after remediation.

Details

Audit packages.

From a single AI app to multi-system enterprise deployments.

PackageBest forIncludes
Starter AuditSmall AI apps & startupsOne AI application, basic prompt injection, jailbreak, and system-prompt leakage testing, short technical report.
Professional AuditSerious AI SaaS companiesApp, RAG, and agent/tool testing, data leakage testing, risk scoring, technical report, and a retest.
Enterprise AuditLarge & regulated industriesMultiple AI systems, deep RAG/agent testing, custom threat modeling, compliance + executive reports, remediation workshop, optional runtime pilot.

Prove your AI product is secure.

Give customers, partners, and your board the assurance that your AI systems have been independently tested against AI-specific threats — and remediated.