We probe your AI systems like attackers do
TRZT runs authorized security tests against your live AI product—not just a checklist review. We find prompt injection vulnerabilities, data leakage paths, and safety failures before your customers or adversaries do.
Your AI is a new attack surface
- Prompt injection can bypass your entire security model.
- RAG systems can leak data across tenant boundaries.
- Hallucinations create legal and safety liability.
- Model updates can silently change system behavior.
Your SOC 2 doesn't cover what enterprise buyers actually worry about
- SOC 2 auditors don't test for prompt injection or jailbreaks.
- No standard control for RAG data isolation or vector store access.
- Point-in-time attestation misses continuous model behavior changes.
- Enterprise security questionnaires now ask about AI-specific controls.
How TRZT is different
We test your AI system under controlled attack conditions and deliver a findings report you can share with customers.
- Hands-on security testing, not just policy review
- Covers OWASP LLM Top 10 attack categories
- Ongoing monitoring, not annual snapshots
Real testing, not paperwork
Prompt injection testing
We attempt jailbreaks, instruction hijacking, and indirect injection through your actual product interface.
Data leakage probing
Cross-tenant retrieval tests, context window extraction attempts, and PII disclosure checks.
Output safety validation
Test for harmful content generation, policy bypasses, and unintended tool execution.
Control implementation
If we find gaps, we help you build guardrails, access controls, and monitoring that actually work.
Evidence documentation
Structured test results and control narratives ready for customer security reviews.
Ongoing monitoring
Continuous testing as you ship model updates, not just a one-time report.
Based on OWASP LLM Top 10 and real-world breaches
LLM01: Prompt injection
Direct jailbreaks, system prompt extraction, and indirect injection via retrieved content.
LLM02: Insecure output
XSS through model output, unvalidated code execution, and malicious link generation.
LLM06: Sensitive disclosure
Training data extraction, PII leakage, and cross-tenant information exposure in RAG.
LLM07: Insecure plugins
Overprivileged tool access, unsafe function calling, and external API abuse.
LLM08: Excessive agency
Unintended autonomous actions, missing human-in-the-loop controls, and scope creep.
From scoping to ongoing protection
Scoping call
Map your AI architecture, identify attack surfaces, and agree on testing boundaries.
Initial assessment
Review existing controls, identify gaps, and prioritize what to fix vs. test.
Active testing window
Authorized attacks against your live system with detailed finding documentation.
Report and remediation
Findings report plus hands-on help implementing fixes and controls.
Standards alignment
Our testing methodology draws from:
- OWASP LLM Top 10 (2025)
- MITRE ATLAS adversary tactics
- NIST AI Risk Management Framework
- ISO/IEC 42001 AI management
Companies shipping AI to customers
B2B AI products
Facing enterprise security questionnaires that now ask about AI-specific controls.
Internal AI tools
Copilots and automation handling sensitive employee or customer data.
Regulated AI use cases
Healthcare, finance, and legal AI where compliance is a hard requirement.
Why customers choose us
- We find real vulnerabilities, not theoretical risks.
- Security engineers, not just compliance consultants.
- Reports designed to close enterprise deals.
Stop guessing if your AI is secure
30-minute scoping call. No commitment. We'll tell you exactly what we'd test and what you'd get.