You Can't Pentest AI With a Standard Playbook
Standard pentests were built for code, leaving them blind to AI threats that weaponize natural language. We find the prompt injections, data poisoning, and agentic risks your current playbook can’t see.
A New Attack Surface Your Tools Can't See
Standard security scanners (SAST, DAST, SCA) are essential, but they can’t analyze the logic, data, or behavior of an AI model. This creates a critical blind spot.
Prompt Injection & Manipulation
Data Poisoning & Evasion
Agentic & Tool-Use Risks

Ship AI Products Confidently
Unblock Your Product Launch
Satisfy Enterprise Due Diligence
Build Lasting Customer Trust
Our Specialized AI Pentesting Methodology
We go beyond the code to test the AI system itself, mapping our findings to frameworks like OWASP, NIST, and MITRE ATLAS.
1
AI Surface & Threat Modeling
We start by understanding your AI’s architecture, data flows, and agentic capabilities to identify the most likely and most damaging attack vectors unique to your system.
2
Multi-Layered Adversarial Testing
3
Actionable Evidence & Remediation Pack
You receive a detailed report with reproducible findings, risk-prioritized remediation guidance, and an evidence pack to satisfy auditors, customers, and internal governance.


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