Offensive security testing for LLMs, copilots, AI agents, and RAG systems. Identify data exposure, prompt injection vulnerabilities, jailbreak paths, and agent abuse before attackers do.
A structured offensive methodology — the same techniques real adversaries use, run continuously against your production systems.
Map the AI's exposed attack surface — system prompts, tool access, data scope, and response patterns.
Fire direct and indirect injection payloads to override instructions, hijack behavior, and suppress refusals.
Apply persona exploits, DAN-class attacks, roleplay framing, and multi-turn crescendo pressure.
Extract PII, PHI, PCI data, credentials, system prompts, and training data through adversarial probing.
Trigger unauthorised tool calls, privilege escalation, destructive operations, and cross-session leaks.
Every successful attack captured with full transcripts, severity ratings, and remediation guidance.
Findings severity-ranked (Critical / High / Medium / Low) with OWASP LLM Top 10 mapping.
Re-test after every model update, fine-tune, or guardrail change to catch regressions early.
Two attack surfaces. Upload results, get evidence-backed findings with severity ratings and remediation guidance.
Attack your AI system to determine whether sensitive information can be extracted through adversarial interactions. Every successful extraction includes evidence, severity rating, and remediation guidance.
Simulate real-world attacks against deployed AI applications. Each test ships a curated attack set with reproducible attack chains, proof of exploitation, and severity scoring.
Pentest-grade output, not compliance checkboxes. Every finding is reproducible, evidence-backed, and prioritised for remediation.
Every successful attack documented with exact payload, model response, and the data or behavior exposed. No false positives — if it is listed, it is reproduced.
Each leaked value captured verbatim — the exact PII, credential, or protected record the attacker would receive. Severity-rated and framework-attributed.
Complete attack chains showing the exact sequence of prompts and model responses. Reproducible by your security team for validation.
Findings ranked Critical / High / Medium / Low with OWASP LLM Top 10 mapping. Your team sees what to fix first, not a flat list.
Specific remediation steps mapped to each vulnerability — guardrail changes, fine-tuning targets, input sanitisation, or architectural controls.
Findings automatically mapped to OWASP LLM Top 10, NIST AI RMF, EU AI Act and HIPAA. Compliance evidence as a byproduct.
Traditional pentesting tools test APIs and infrastructure. They cannot find prompt injection, jailbreaks, or data leakage through model outputs.
Every finding automatically maps to the regulatory frameworks your auditors and regulators care about — without turning security into a checkbox exercise.
Upload model outputs. Get severity-ranked findings with reproducible attack chains and remediation guidance — usually within minutes.