How Do You KnowYour Security Tools AreActually Working?
Specialized reinforcement-learning agents, developed over three years through DARPA CASTLE, run continuous, adaptive campaigns against your environment to prove exactly where your defenses hold and where they don't.
Most Organizations Can't Prove Their Security Works
Security tools measure activity, not effectiveness. They show you what's running, not whether it would stop a real attack. In government and enterprise, that proof isn't optional. Security leaders distrust generic hype—they need dated, auditable evidence that their controls actually hold.
How SIEGE Closes the Exposure Gap
SIEGE executes continuous, environment-specific adversary behavior safely in a digital twin, showing you exactly where your defenses hold before authorized live execution.
Validated where the adversary is a nation-state.
SIEGE was developed under the DARPA Castle program and proven across U.S. Government and DoD networks. This is adversarial validation with a pedigree, not a compliance checkbox. Pass, and you earn a seal that means your defenses held against the people who write the playbook.
Find the Gaps Attackers Already See
Get a clear, board-ready picture of where your security really stands, in about three minutes, no pen test required.
- 11 posture signals mapped to MITRE ATT&CK
- Quantifies your exposure gap in dollars
- Reveals the likely attack path to your crown jewels
- Board-ready summary in about three minutes
Common questions.
Direct answers on how SIEGE works, how it differs from alternatives, and what to expect.
What kind of platform is SIEGE?
SIEGE is an AI-driven, purpose-built cyber intelligence platform. Its reinforcement-learning agents execute adaptive, environment-specific adversary behavior and safely validate attack paths to prove which defenses actually hold. It does not just scan for vulnerabilities; it demonstrates exploitability.
How is SIEGE different from Breach and Attack Simulation (BAS) tools?
BAS tools replay scripted attack libraries. SIEGE's agents make autonomous, environment-specific decisions instead, chaining techniques to generate novel attack paths specific to your network. Developed over three years through DARPA CASTLE, SIEGE produces proven paths with remediation evidence, not a dashboard of simulated hits.
Is it safe to run SIEGE against a live production environment?
SIEGE validates attack paths in a lightweight digital twin first, then pivots to emulation or live execution only when authorized. Every action is governed by your Cyber Control Plane through customer-defined policies, constraints, tools, and human approval points.
Does SIEGE replace penetration testing entirely?
SIEGE provides continuous adversarial validation, closing the exposure gap between annual penetration tests. While traditional tests deliver a point-in-time snapshot, SIEGE runs continuously so your validation is never more than hours old.
How does SIEGE help satisfy compliance and regulatory requirements?
SIEGE maps activity to the MITRE ATT&CK framework and records it through the Cyber Control Plane. This provides dated, auditable evidence for continuous monitoring under frameworks like CMMC, DORA, and HIPAA.
Is SIEGE built on a large language model (LLM) or generic AI?
No. SIEGE is not another LLM wrapper. It uses specialized neural networks trained through reinforcement learning on real offensive cyber tradecraft. Because intelligence is embedded in the agents themselves, SIEGE runs on commodity CPUs, not GPUs, with no continuous LLM inference cost.
Stop Guessing. Start Proving.
Book a working session to see adaptive adversary behavior run safely against an environment like yours.