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( AI Security · OWASP LLM Top 10 )

AI Security X-Ray

You shipped an AI.Has anyone tried to break it? The X-Ray probes your chatbot, copilot, or agent the way an attacker would — then shows you exactly what broke, with the proof, and how to fix it. Mapped to the OWASP LLM Top 10, written for owners, not just engineers.

Automation that pays for itself.

Key Takeaways

  • We test the AI itself — the new attack surface a network pen test never touches
  • Every finding maps to a named OWASP LLM Top 10 (2025) category
  • You see the verbatim attack and your model’s real response — evidence, not just a score
  • Empty or ambiguous responses are rated low-confidence, never inflated into false "criticals"
  • The Assessment tier and up include a re-test that proves your fixes worked

( What we test )

The OWASP LLM Top 10, in plain language

The industry-standard checklist for LLM risk — translated out of jargon so you can see what each one actually means for your business.

LLM01

Prompt Injection

Can someone talk your AI into ignoring its instructions — a jailbreak, a hijack, or an encoded payload that slips past its guardrails?

LLM02

Sensitive Info Disclosure

Will it leak data it shouldn’t — customer records, secrets, or content it was never meant to reveal?

LLM05

Improper Output Handling

Does it produce harmful, toxic, or unsafe output — or content that breaks the app it feeds into?

LLM06

Excessive Agency

If your AI can take actions or use tools, can it be pushed to do something it shouldn’t?

LLM07

System Prompt Leakage

Can an attacker extract the hidden instructions that define how your assistant behaves?

LLM09

Misinformation

Can it be led to state false or misleading claims with false confidence?

( How it works )

Scope. Probe. Prove. Fix.

01

Scope & authorize

We agree on which model to test and sign a rules-of-engagement — defensive testing only, on assets you own or contract.

02

Probe

Automated adversarial probes hit your model with hundreds of crafted attacks, each mapped to an OWASP LLM Top 10 category.

03

Prove

You get the verbatim attacker prompt and your model’s actual response for every finding — real evidence, honestly rated.

04

Fix & re-test

A prioritized remediation roadmap tells you what to fix first. Then we re-run the identical suite and quantify the improvement.

( Engagements )

Scoped to your systems

Start with a Snapshot, go deep with an Assessment, or add the governance artifacts your insurer asks for — and keep it true over time with the Watch retainer. Every engagement is scoped to your models and quoted after a short consultation.

X-Ray Assessment

The complete assessment — most popular

Request a quote
1–2 weeks

Up to two models, the full attack suite including multi-turn escalation, a prioritized fix-it roadmap, and one re-test after your fixes.

What's Included

  • Up to 2 models
  • Full suite: single-shot + multi-turn / crescendo attacks
  • OWASP LLM Top 10 severity heatmap
  • Verbatim exploit evidence
  • Prioritized remediation roadmap
  • One re-test after your fixes, with a before/after delta

Deliverables

  • AIQSO-branded X-Ray report (PDF)
  • Prioritized remediation roadmap
  • Re-test delta report quantifying the improvement

( Why now )

The AI you deployed is now the thing being attacked

Your insurer is asking

Cyber-insurance carriers increasingly ask how you govern and test the AI in your business at renewal. A credible third-party assessment answers that with evidence instead of a shrug.

Prompt injection is the new front door

Most businesses shipped an LLM feature with zero adversarial testing. Prompt injection and data leakage are the fastest-growing AI attack paths — and they don’t show up in a traditional pen test.

AI Security X-Ray — FAQ

See what breaks — before someone else does

Book a free consultation and we’ll scope an X-Ray for the AI in your business.

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