Security

Real offensive depth

Testing and defence led by a published security researcher with six CVEs, including a CVSS 9.1 Mirai botnet kill-switch.

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Compliance

Audit-ready, fixed scope

SOC 2, ISO, CPCSC, and the Canadian privacy stack, run end to end with an independent auditor.

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Resources

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Original research, free tools, and plain-language guides on security and compliance, from a published security researcher.

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Security & Compliance Glossary

AI / LLM Security

AI/LLM security is the practice of protecting applications built on large language models and AI agents from threats unique to them, such as prompt injection, data leakage, and model abuse. It addresses risks across the model, its data, its tools, and its outputs. The OWASP Top 10 for LLM Applications is the leading reference for these risks.

In practice

LLM-powered products introduce attack paths traditional security never had to consider: untrusted text becomes executable instruction, retrieval pipelines leak sensitive data, and autonomous agents can be steered into abusing their own tools.

A solid AI security pass combines threat modeling of the model, data, and agent surfaces with adversarial testing against the OWASP LLM Top 10. traztech runs the threat modeling and co-delivers the hands-on adversarial work with our offensive-security partner.

// how traztech helps

traztech delivers AI / LLM security assessments for startups and growth-stage companies, led by a published security researcher.

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For a broader look at getting audit-ready, see our SOC 2 readiness work, or talk to a fractional CISO about building a program around it.