Mission and limits
Objective, core business, surfaces, permitted actions and stop criteria.
Mission-driven agents explore and correlate web and API journeys, preserving identity, state, hypotheses and evidence throughout the investigation. Every action happens within a defined scope and under a specialist's direction.
$ berghem-agent init --mode=autonomous> Mission: protect the critical asset defined in scope> Model: multi-model architecture (per task and sensitivity)> Targets: web, mobile, cloud, AD, network, API, containers, CI/CD> Status: Ready for autonomous security assessment> Initiating reconnaissance...
A Berghem agent is neither a scanner nor a generic “web agent”. It receives a mission — the critical asset that must not be compromised — and investigates the routes that lead to it. Throughout the investigation the agent holds context: it preserves identities and state, compares profiles, forms and prioritises hypotheses, captures evidence and re-runs tests.
The specialist stays at the centre of the operation: defining the mission and the crown jewel, interpreting ambiguity, authorising sensitive actions and answering technically for the result. The agent extends reach; the specialist preserves judgement.
A mission rarely lives on a single surface.
A journey starts in the web application — a login, a session, a business rule — moves through an API call that exposes authorisation or a sensitive flow, and returns to the web layer to confirm the real impact on the user experience.
By crossing those surfaces while holding the same state and the same identity, the agent shows not only that a flaw exists, but that it can be chained all the way to the core business. It is this correlation across surfaces that separates an investigation from a checklist of isolated vulnerabilities.
Berghem Agents don't just check boxes — they reason through attack chains like a senior penetration tester with 20 years of experience.
Uses a multi-model architecture.
Web, mobile, cloud, Active Directory, network, API, containers, CI/CD — one agent covers your entire attack surface.
Doesn't just find vulnerabilities — actively recommends and validates fixes, working standalone or fully integrated into your security pipeline.
of penetration testing expertise for major financial institutions worldwide
of curated offensive security data powering our models
built via CPT, SFT, LoRA, and DPO on real-world pentest data
Autonomous penetration testing that adapts to your infrastructure and chains vulnerabilities like a human attacker.
Goes beyond detection — validates remediation, tests fixes, and hardens configurations proactively.
Deploy standalone, integrate with your SIEM, or embed in CI/CD pipelines. Works where you need it.
Not a point-in-time test. Continuous monitoring and reassessment as your infrastructure evolves.
The difference is not driving a browser. It is holding the mission, selecting tools, interpreting results and reframing hypotheses.
Not every task needs the largest model, and not every piece of data can be processed in the same environment.
Objective, core business, surfaces, permitted actions and stop criteria.
Specialised models, private models, authorised third parties or models inside your tenant.
Browser, APIs and specialised tooling; mobile within limited scopes.
Identities, approvals, logs, circuit breaker, replay and reporting.
Scope and access are defined before execution. Sensitive actions require approval and irreversible operations can be blocked.
Mission, identities, domains, tooling, limits and evidence criteria.
Monitoring, parameter validation, checkpoints, cost ceiling and circuit breaker.
Replay, logs, evidence, retention, disposal, recommendations and retest.
Request a demo and see how autonomous security agents can transform your security posture.
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