Synthetic Red Teams

Defenders need adversaries that evolve faster than their environments. We now generate entire red teams on demand, each tuned to a distinct threat profile that mirrors emerging operators, not historical case studies.

The system begins with a policy-constrained generator that crafts an attack narrative: target, ingress vector, privilege escalation plan, and monetization intent. That narrative seeds an autonomous executor that translates strategy into runnable payloads. An evaluator cluster scores every attempt across novelty, realism, and operational safety, suppressing sequences that drift toward non-compliant actions.

When quality dips, the platform loops in fresh telemetry. We ingest sanitized findings from production detections, convert them into counterfactual prompts, and retrain the generator overnight. The resulting red team remembers the lessons defenders just learned and immediately pushes beyond them.

In January alone we ran 1.4 million simulated intrusions across five customer environments. Seventy percent of surfaced issues never appeared in prior manual assessments. Forty-six percent of those findings were remediated within 48 hours because the payloads are reproducible harnesses, not vague recommendations.

External benchmarks reinforce the direction. The 2025 AIRTBench study showed that agentic attackers improve faster when paired with automated evaluators, validating our co-evolution approach. Industry guidance from the Cloud Security Alliance’s agentic red teaming framework likewise stresses continuous scoring loops; we implemented those hooks from day one so customers can plug our telemetry straight into their governance stacks.

Operationally, the engagements integrate with customers' ticketing systems and runbooks. Synthetic operators file structured reports, attach PCAP captures, and auto-generate mitigations that reference existing infrastructure-as-code modules. Analysts remain in the loop but spend their time validating fixes rather than hunting for repros. We also route premium engagements through human-led validation cells, echoing the 2025 CSET recommendations that automated and expert teams must collaborate to catch long-tail risks.

Governance is built in. Compliance teams receive weekly scorecards that map simulated breaches to MITRE ATT&CK tactics, provide likelihood confidence intervals, and document containment timelines. Our customers increasingly share these scorecards with boards because they answer the Medium-level call for board-ready AI red teaming metrics without extra lift.

Next on the roadmap: cross-tenant adversaries that can chain weaknesses across supply networks. We expect these federated exercises to reveal systemic risks that no single organization can see on its own. Coordinating them safely demands strong policy gating, which is why we are partnering with external labs to co-design disclosure protocols before we unleash the first wave of multi-tenant simulations.