AI / LLM Security Assessments
Protect your AI and Large Language Model applications against emerging threats. Our testing covers prompt injection, training-data poisoning, sensitive-information disclosure, and other attack scenarios, mapped to the OWASP LLM Top 10 and MITRE ATLAS.
The OWASP LLM Top 10 we test against.
Mapped to the vulnerability classes that matter for this surface — so coverage is auditable, not a vague promise.
0
of 10 OWASP LLM Top 10 categories in scope
Tested every engagement.
Tested every engagement.
Tested every engagement.
Tested every engagement.
Tested every engagement.
Tested every engagement.
Tested every engagement.
Tested every engagement.
Tested every engagement.
Tested every engagement.
Coverage that maps to real risk.
How the engagement runs.
A disciplined, repeatable arc — so results are comparable and defensible.
- 01
Architecture and data-flow review of the AI system
- 02
Adversarial testing mapped to OWASP LLM Top 10
- 03
ATLAS-informed threat emulation (MITRE)
- 04
Guardrail, filter, and monitoring validation
- 05
Reporting, debrief, and retest
What you walk away with.
Every finding is rated on the CVSS severity scale:
- CRITICAL9.0–10.0
- HIGH7.0–8.9
- MEDIUM4.0–6.9
- LOW0.1–3.9
- INFO0.0
Questions we hear a lot.
OWASP Top 10 for LLM Applications and MITRE ATLAS, combined with scenario-driven abuse cases specific to your product.
Tell us about your environment and we'll come back with a fixed scope, timeline, and price.