Adversarial Exposure Validation

How Do You KnowYour Security Tools AreActually Working?

Purpose-built adversarial agents — trained on real offensive tradecraft under the DARPA CASTLE program — run continuously against your environment and produce dated, auditable proof of exactly where your defenses hold and where they don't.

See How SIEGE Works
Developed under DARPA CASTLEDeployed across U.S. Government & DoD NetworksMITRE ATT&CK MappedDeep Cyber-Operations Pedigree
THE PROBLEM

Most Organizations Can't Prove Their Security Works

Your security tools measure activity, not effectiveness, what's running, not whether it would stop a real attack. In government and enterprise, that proof isn't optional: compliance mandates it, auditors demand it, executives need it.

THE SOLUTION

How SIEGE Closes the Exposure Gap

SIEGE runs real adversarial campaigns against your environment at machine speed and shows you exactly where your defenses hold or break.

AI-Driven Attack Path Discovery
SIEGE's reinforcement-learning agents autonomously identify the paths an attacker could take through your environment to reach critical systems, revealing how minor weaknesses chain into material risk.
Continuous Adversarial Assessment
A pen test is a snapshot; your environment changes daily. SIEGE runs continuously, so your exposure picture moves with every change, not at the next annual engagement.
Safe, Non-Disruptive Testing
All assessments run in simulated or mirrored environments. No production systems are touched. No downtime. No business disruption.
Executive-Ready Reporting
Every finding lands in two registers at once: the ATT&CK technique and reproduction steps your operators act on, and the dated, business-impact summary your board and auditors will actually read.
Explore the platform →
★ DEVELOPED UNDER DARPA CASTLE PROJECT ★ DOD VALIDATED ★ TRUSTED BY US DEFENSE & INTELLIGENCE ★
SEAL OF APPROVAL

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.

FREE EXPOSURE GAP ASSESSMENT

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
WHY SIEGE IS DIFFERENT

Specialized agents. Not a language model pointed at your network.

Reinforcement learning, not language models.
SIEGE's agents are specialized neural networks trained on real offensive cyber tradecraft. They don't reason about what an attacker might do. They do what an attacker does — probing your actual environment, chaining real techniques, finding the paths your existing tools have never seen.
Every environment is different. So is every attack.
There is no playbook. SIEGE reads your topology in real time, adapts to your specific defenses, and generates attack paths novel to your network — not replayed from a scripted library a determined adversary already knows how to defeat.
Complete control. Complete evidence.
Every agent action runs through a governance layer you define: scope, constraints, escalation thresholds, human approval gates. What the AI did, when, and why is logged in full — ready for your board, your auditor, and your regulator the moment they ask.
USE CASES

One platform. Every mission.

The same core engine that validates DoD cyber mission plans configures to your environment, from CMMC and DORA to HIPAA and CISA mandates.

CMMC 2.0
Defense Industrial Base
Satisfy CMMC 2.0 adversarial assessment requirements with DoD-native methodology assessors recognize immediately.
CISA · EO 14110
Public Sector & SLED
Meet CISA directives and AI security mandates with a DoD-validated, on-premises-capable platform.
National Security
Federal & National Security
Red team automation, mission plan validation, and continuous exposure assessment across classified environments.
DORA · NYDFS · SEC
Financial Services
Meet DORA TLPT requirements and generate the auditable evidence your SEC disclosure demands, continuously.
HIPAA · OCR
Healthcare
Validate segmentation and lateral movement paths to PHI, with HIPAA OCR and 405(d) HICP-aligned evidence.
MITRE ATT&CK
Enterprise & Critical Infrastructure
Continuous adversarial validation across hybrid environments, with board-ready exposure dashboards.
See all use cases →
FAQ

Common questions.

Direct answers on how SIEGE works, how it differs from alternatives, and what to expect.

What is Adversarial Exposure Validation (AEV)?

Adversarial Exposure Validation (AEV) is a continuous, evidence-based discipline that uses autonomous agents to safely run real attack techniques against your environment and prove which defenses hold. Unlike vulnerability scanning or compliance audits, AEV produces dated, reproducible proof of whether an attacker can reach your crown jewels — before a real adversary does.

How is SIEGE different from Breach and Attack Simulation (BAS) tools?

BAS tools replay scripted attack libraries against isolated sensors. SIEGE runs autonomous, AI-adaptive agents across your live environment, chaining real techniques the way a skilled adversary does. Developed under the DARPA CASTLE program and validated on DoD networks, SIEGE produces a proven attack path with remediation evidence — not a dashboard of simulated hits.

Is it safe to run SIEGE against a production environment?

Yes. SIEGE is designed from the ground up to be non-disruptive. Its agents observe and chain exposures the way an attacker maps a network — they do not execute destructive payloads, crash services, or exfiltrate real data. The same safety constraints validated on DoD operational networks apply to every commercial deployment.

Does SIEGE replace penetration testing entirely?

SIEGE is a continuous validation layer, not a full replacement for every penetration test. Traditional pen tests produce a point-in-time snapshot; SIEGE runs continuously so your validation is never more than hours old. Most teams use SIEGE to prioritize what a human red team should focus on, and to prove fixes hold after remediation.

How does SIEGE help satisfy CMMC, DORA, or HIPAA compliance requirements?

SIEGE maps every finding to the relevant control framework — CMMC Level 2/3, DORA TLPT, HIPAA Security Rule, NIST CSF 2.0, and others — and produces audit-ready evidence packages. This converts a compliance checkbox into dated proof that specific controls are functioning, satisfying examiner expectations for continuous monitoring across these frameworks.

What makes SIEGE's DoD/DARPA CASTLE pedigree different from vendors who claim 'military-grade'?

SIEGE was built and iterated inside real DoD and intelligence community networks under the DARPA CASTLE program — not inspired by military concepts after the fact. The tradecraft, agent logic, and safety constraints were pressure-tested on operational infrastructure where mistakes have real consequences. 'Military-grade' is a marketing claim; DARPA CASTLE validation is a contract of record.

Is SIEGE built on a large language model (LLM) or general-purpose AI?

No. SIEGE uses specialized neural networks trained through reinforcement learning on real offensive cyber tradecraft — not general-purpose language models. This is a structural difference, not a marketing one. LLM-based security tools generate plausible-sounding attack analysis by reasoning about what an attacker might do. SIEGE's agents do what an attacker does: probe your actual environment, chain real techniques, and return findings that are proven paths, not predictions. Because the intelligence is embedded in the agents themselves, SIEGE runs on commodity hardware with no continuous inference cost — a distinction that matters at enterprise scale.

GET STARTED

Stop Guessing. Start Proving.

Book a working session and watch SIEGE run against an environment like yours.

EXPLORE THE PLATFORM