We Break Your AI Before Attackers Do
AI penetration testing and red teaming by a former Meta AI RED Team specialist. We test your chatbots, copilots, and AI features for prompt injection, data leakage, jailbreaks, and bias — and show you exactly how to fix what we find.
A proven methodology for AI security testing
Scoping
We review your AI application, define the attack surface, and agree on what’s in scope. You get a fixed-price quote before any work starts.
Testing
Our team systematically probes your AI for vulnerabilities: prompt injection, jailbreaks, data leakage, privilege escalation, bias, and unsafe outputs. Manual expert testing plus automated scanning.
Report & Retest
You get a detailed report with every finding, severity rating, proof of exploit, and specific fix. We retest in 30 days to verify your remediation.
Ali Nadhaif
Co-Founder & Head of AI Security
Who We Are
A Senior Team That Breaks AI for a Living
Ali Nadhaif, our lead AI security tester, comes from Meta’s Generative AI RED Team — the team responsible for testing the AI systems behind Instagram, WhatsApp, and Facebook before they reach 3 billion users. He now applies that same adversarial methodology to your AI applications. Martin Walian (CECM, MBA, ex-Atlas Copco Compliance) manages every client engagement and handles compliance mapping. No junior testers. No automated-scan-only reports. You get hands-on expert testing from people who’ve done this at the highest level.
Most companies don\u2019t realize their AI has been tested the way a compliance checklist would \u2014 not the way an attacker would. At Meta, we broke the same systems that serve 3 billion users. That\u2019s the standard we bring to every engagement, regardless of size.\u2014 Ali Nadhaif, Co-Founder & Head of AI Security
-
Ali Nadhaif — Co-Founder & Head of AI Security
-
Martin Walian — Co-Founder & Head of Compliance
-
Full-stack: we test the AI and the app around it
-
Fixed-price engagements, results in 2 weeks
Our Focus
Who We Work With
We test AI applications for companies that can’t afford to get it wrong.
-
SaaS startups that just shipped an AI feature
-
HR tech companies with NYC or Colorado enterprise clients
-
Companies preparing for SOC 2 audits
-
Any company that's had an AI jailbreak or security incident
-
CISOs doing annual security procurement
-
Fintech, healthtech, legaltech using AI for sensitive decisions
Martin Walian
Co-Founder & Head of Compliance
What We Test
What We Test

AI Application Security Testing
We test your chatbots, copilots, AI assistants, and any AI-powered feature for prompt injection, jailbreaks, data leakage, unsafe outputs, and privilege escalation. Full application testing included. Report mapped to OWASP Top 10 for LLMs. Engagements start at $15,000.

AI Hiring Compliance Audits
Independent bias audits for AI hiring and screening tools. We test for disparate impact across race, gender, and intersectional categories, plus adversarial bias probing. Documentation for NYC Local Law 144, Colorado AI Act, Illinois, and California. Engagements start at $12,000.

OWASP & NIST AI Assessments
Formal security assessments against the OWASP Top 10 for LLM Applications and NIST AI Risk Management Framework. Structured scoring, gap analysis, and remediation roadmap. Built for CISOs and security teams running annual procurement or preparing for SOC 2 audits. Engagements start at $15,000.
What an Engagement Looks Like
Here’s what happens when you hire us for an AI security testing engagement.
Week 1 — What We Attack
Prompt injection, jailbreaks, system prompt extraction, cross-tenant data leakage, unsafe output generation, privilege escalation. We run 200+ adversarial test cases against your AI features plus automated scanning of your entire application layer — APIs, authentication, access controls, and data storage.
Week 2 — What You Get
A detailed report with every finding classified by severity — critical, high, medium, low. Each finding includes a proof-of-concept exploit, business impact analysis, and specific remediation steps. All findings mapped to OWASP Top 10 for LLMs. Clear enough for your board, detailed enough for your engineers.
Day 30 — Retest
We verify your fixes actually work. Every critical and high finding is retested against your updated application. You get a clean report confirming remediation — evidence for your board, your auditors, your enterprise clients, or your SOC 2 assessment.
What exactly do you test?
How is this different from regular penetration testing?
What do we get at the end?
How long does an engagement take?
What does it cost?
What access do you need from us?
Do you offer ongoing monitoring?
Why not use a bigger firm like CrowdStrike or Bishop Fox?
Latest from the Blog
Expert guides on AI security testing, compliance frameworks, and protecting your AI applications. Written for CTOs and CISOs, not security researchers.
5 AI Vulnerabilities Your Regular Pen Tester Will Miss
Traditional pen testers don’t know how to test AI. Here are 5 critical vulnerabilities in your chatbot or copilot that only an AI security specialist will find.
How to Choose an AI Security Testing Vendor
Choosing the wrong AI security testing vendor wastes money and leaves you exposed. Here’s what to look for — methodology, experience, reporting, and pricing.
NYC Local Law 144: What HR Tech Companies Need to Know in 2026
NYC Local Law 144 requires independent bias audits for AI hiring tools. Here’s what HR tech companies need to know — who it applies to, what’s required, and how to get compliant.