CONTINUOUS OFFENSIVE SECURITY

Your adversary runs on
frontier models.

So should your testing. REDTEAMLAB deploys governed AI agents that probe your defenses the way attackers do — reasoning, chaining, and proving — with machine-verified evidence for every finding.

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THE POST-MYTHOS REALITY

The threat has changed

1,200+ autonomous agents escaped a single vendor's evaluation environment in 2026
< 13 h from sandbox escape to cluster-admin on real infrastructure
3 firms hacked by a model that left its red-team sandbox during testing

What changed for the attacker:

  • Speed — recon-to-exploit compressed from weeks to hours; chains assembled end-to-end
  • Economics — always-on, no fatigue, parallel by default; capability rented by the hour
  • Access — frontier reasoning is one API key away, for anyone, anywhere

Attackers got faster. Security testing stayed quarterly.

WHAT WE DO

Governed AI-driven offensive security

Continuous, not quarterly

Web applications, source code, APIs, cloud, mobile and directory surfaces assessed on demand and on schedule — at a cadence you set, not one booked months out.

Machine-verified evidence

Every runtime finding ships with a standalone, re-executable proof of concept. No artifact, no confirmed finding — zero reliance on analyst assertions. When your team remediates, a retest re-runs the proof and returns a deterministic fixed or still-present verdict.

Governed autonomy

Frontier-model agents operate inside deterministic controls: scope envelopes enforced per tool call, action classification with human approval gates for invasive techniques, and a tamper-evident audit chain covering every action, approval and verdict.

Your data stays yours

Runs entirely inside your infrastructure — single-tenant pod or fully self-hosted, air-gapped if required. Source code never leaves your perimeter. Your keys, your models.

Attacker-realistic depth

Beyond CVE matching: business-logic flaws, multi-step exploit chains, and authorization gaps that signature-based scanners structurally cannot find.

Boardroom-ready deliverables

Executive and technical reports generated from verified findings only. Compliance control mappings (PCI DSS, SOC 2, ISO 27001), SBOM exports, and machine-readable artifacts — evidence that stands up to auditors.

HOW IT WORKS

The LLM proposes. The machine disposes.

1

AI reasons like an attacker

Frontier-model agents plan, hypothesize and design targeted probes — reading specs, following data flows, writing payloads — like a senior offensive security engineer.

2

Deterministic tools act

Every action goes through typed, governed tools — no raw shell. Scope envelopes, action classes and approval gates are enforced in engine code, not prompts. Fail-closed on control failure.

3

The verifier decides

Every finding is re-executed by a deterministic POC verifier outside the LLM's control. Machine-verified or it didn't happen. Retests prove fixes with deterministic verdicts.

No artifact, no confirmed finding.

GET STARTED

See it run against a live target

Book a 20-minute live assessment and watch a governed AI agent discover, exploit and machine-verify real vulnerabilities in real time.

Request a Demo