A team of specialist AI agents that pentests your whole surface — web, API, mobile and infrastructure — chains findings into proven attack paths, and keeps what it learns. Expert-depth testing, run safely at machine pace.
Applications and cloud environments change weekly. Deep testing happens once or twice a year. Everything in between is assumption.
A signed report is true for the day it was written. Everything shipped after it is untested by that report.
They don't establish whether a finding is reachable — or what it actually gets an attacker.
Three findings unremarkable on their own combine into a critical. That combination is the work a human tester rarely has hours left for.
Specialist agents plan, test and validate against your live environment — each picking its next move from what the team already found.
iterative loop · new surface → re-map · new evidence → re-model
Next steps come from evidence in hand, not a fixed playbook. Agents read your application to derive its real business logic, then test it.
Scope, approvals and stop controls sit below the model, in the platform — not requested in a prompt.
Every finding carries the artifact that proves it; every attack path is built from those artifacts.
Each campaign leaves a living knowledge base of your product behind. Meet unknown tech, and the platform builds coverage for it mid-campaign.
Coverage: web · API · mobile · infrastructure — in one campaign, with equal attention to each surface.
Against a scanner, the difference is reasoning and proof. Against a manual test, it's cadence, uniform depth across surfaces, and capability that accumulates instead of leaving with the consultant.
Autonomous testing is only useful if you can sign off on it. Our controls live in the platform, beneath the agents, so they hold whatever the model decides to do. Design partners run CaosOne against their own production environments.
Testing stays inside the scope you authorize. Out-of-scope work is denied — at the platform, not on trust.
Passive work runs freely; anything intrusive waits for a named human approval before it happens.
One control brings the whole campaign to a clean stop and holds its state — nothing is lost, nothing keeps running.
Each campaign runs isolated; every command and artifact is recorded and can be shipped to your SIEM as it happens.
Our design partners run the platform against their own production environments, and their requirements set the roadmap.
The agents read the application to derive its business logic, then combined several individually low-signal issues into a complete account takeover — proven end to end, with the artifact that establishes each hop. No single scanner rule fires on any one of them.
The environment carried services the platform had never seen. Rather than reporting them out of scope, the platform built the coverage for them during the engagement — and that capability persisted into every campaign that followed.
Every finding is severity-scored, backed by hashed evidence and a full audit trail, and validated by a senior expert — then mapped to the framework you're being assessed against.
Satisfy the penetration-testing expectation for the CC-series controls with a repeatable, evidence-backed test you can run before each audit window.
Support Requirement 11 network and application penetration testing with segmentation checks and a documented, scored finding trail.
Demonstrate proactive risk management and technical testing to meet EU NIS2 obligations for essential and important entities.
A senior team that has built and attacked together — from a shipped, production offensive platform to years of senior offensive-security delivery for banks, fintechs and critical infrastructure.
Tell us a little about your environment and compliance goals, and we'll set up a technical briefing — a walkthrough of the platform and a scoped conversation about where it fits.