AI Penetration Testing
AI does the work. A human owns the outcome.
Offensive testing for the AI threat era. AI and LLM red teaming, AI-assisted code security review, AI threat modeling, and traditional network, web, and cloud penetration testing. One accountable operator, an agent squad handling the work that scales, and every finding reproduced before it reaches your report. Powered by our validated, agent-based end-to-end pen testing platform.
Scanners Don't Test the Surface That Matters Now.
Mid-market penetration testing has been commoditized: a scanner output, a templated report, a quarterly box checked. That model missed the move to cloud. It is now missing the move to AI. The surface that matters in 2026 is the AI agents, LLM applications, and copilots your business runs on, and the traditional infrastructure they touch on the way through.
Four Modes. One Engagement.
Sub-modes selected during scoping. Most engagements combine two or three.
AI and LLM Red Teaming
Direct and indirect prompt injection, jailbreak chains, RAG poisoning through ingested documents, system prompt extraction, context window exfiltration from coding copilots, model inversion, and data leakage through tool calling. Both the model and the surrounding application logic. Reproduced findings, not theoretical risk.
AI-Assisted Code Security Review
Human-led code review with AI-augmented analysis. The operator drives, the agent squad surfaces candidates, every finding is operator-validated before it lands in the report. Aimed at what scanners miss: business logic flaws, authentication and authorization gaps, secrets handling, and the AI-specific patterns (prompt construction, tool authorization, output sanitization) that do not have CVEs.
AI Threat Modeling
Threat modeling against the live attack chain of an AI-enabled product or workflow. Trust boundaries, data flow, model invocation, tool authorization, and the privilege gradient between user, application, and model. Output: a prioritized model with the controls that close the gaps you actually have.
Network, Web, and Cloud Pen Testing
External and internal network, web application, API, and cloud penetration testing. Traditional tradecraft, AI-augmented triage and correlation. Findings traced to specific artifacts and reproduced before they reach the report. Domain admin when the path is there, not a list of low-severity scanner output.
Three Sizes. Fixed-Scope. Not a Subscription.
Deliverables
- Operator-validated findings with evidence chains. No scanner output passed through.
- Technical report with full reproduction steps and prioritization by exploitability, not CVSS alone
- Plain-language summary your leadership and board can act on
- Remediation guidance with the architectural and tactical controls, not just patches
- Retest of critical findings within scope
- Live walkthrough of both deliverables with the operator
How the Engagement Works
Or Stand Up the Program.
If your security leadership is being asked "what is our autonomous AI pen testing capability," the answer is not another testing engagement. It is a buildout. Same pillar, different shape: we evaluate platforms, deploy hardened, write the runbook, and ship the leadership documentation your board needs to sign off on the program.
Scope a Pen Test
Tell us about your environment and what you need tested. We will come back with a scope, a timeline, and a fixed fee.
Book a Consultation Or send us the details