We build security products and work directly with the businesses shipping agentic systems — breaking what’s brittle, building what isn’t, and putting deployable capability in your team’s hands.
Adversarial testing of autonomous agents — before an attacker gets there first.
Agentic architectures with security designed in, not bolted on.
Architecture review, threat modelling, and ongoing security advisory.
End-to-end RL — environment design, reward modelling, training, and evaluation.
A private autonomous cyber capability that autonomously detects, patches and verifies resolution to your internal source code vulnerabilities.
We continuously research new attacks and defences for agentic systems. Fresh services and products ship as the frontier moves.
We map your architecture, tool surface, and trust boundaries, then agree the threat model and success criteria up front — no boilerplate scope.
We red team, engineer, or advise directly against that model — manual depth alongside automated coverage, working with your engineers rather than over the wall.
Every finding ships with a reproduction, a severity rating, and a concrete fix. Products ship as deployable modules you can run in your own environment.
We verify fixes hold, and can stay on as a standing adversary or advisor across releases as your system evolves.
Both. We work directly with your team on hands-on engagements — red teaming, secure builds, advisory — and we build security products (RLaaS, Private Cyber-Reasoning-Systems) that deploy into your own environment. The engagements inform the products and vice versa.
Yes. We embed with your team rather than throwing a PDF over the wall — pairing with your engineers through scoping, remediation, and retest so the knowledge stays in-house.
Yes. Our product modules are designed to deploy in your cloud or on your premises, with bring-your-own-key (BYOK) for inference providers — or hosted on our infrastructure if you prefer. Your security data stays where you want it.
A short scoping call to understand your stack and threat model, then a fixed-scope statement of work or an ongoing retainer. We can run one-off (pre-launch hardening) or continuously against each release.
Agentic systems are our focus, but the work draws on a decade of security engineering across AI infrastructure, cloud and kubernetes, and consensus protocols. If your system reasons, calls tools, and acts, it is in scope.
Not sure which fits? We scope engagements to your stack and threat model.
info@autopoiesis.uk