ThreatWell pairs two engines. Codex reads your source and dependencies to find and verify vulnerabilities; Command runs live reconnaissance, assessment, and exploitation against your targets, continuously, with evidence.
ThreatWell pairs a source-side discovery engine with a live-operations engine: Codex finds and verifies what's exploitable, and Command proves it against your running targets.
Reads your source and dependencies like a researcher and verifies findings against an AI-native database of 500,000+ vulnerabilities and findings, emitting exploit-ready Zero-day Vulnerability Entries (ZVEs).
Explore Codex →Runs the live offensive lifecycle (reconnaissance, assessment, exploitation, and reporting) against your running targets, at machine speed.
Explore Command →Traditional pentesting is a snapshot. ThreatWell Command is a living operation: five autonomous stages that chain together and loop continuously, so your security posture is assessed in real time, not once a year.
Point-in-time testing was built for a world where infrastructure changed quarterly. Today, your attack surface shifts daily: new deployments, new services, new exposures. Manual pentesting can't keep up. And every gap between tests is a window an adversary can walk through.
ThreatWell Command doesn't bolt AI onto a scanner. It chains every stage of an offensive security operation (reconnaissance, assessment, exploit generation, validation) into a single autonomous pipeline that runs on your schedule or runs continuously. One platform. One seamless loop. Zero coverage gaps.
Other tools scan, or assess, or report. ThreatWell chains every stage together into one autonomous operation, the way a real adversary works.
ThreatWell doesn't just flag CVEs. It chains low-severity findings into the multi-step attack paths a real adversary would build, autonomously and at scale.
The chain runs on your schedule or runs 24/7. Every new deployment, every infrastructure change is assessed automatically. Your coverage never lapses. Your board never has to ask "when was our last pentest?"
Multiple specialized AI agents collaborate like a coordinated offensive team: one handles recon, another analyzes, another crafts and executes exploits. They share context and build on each other's findings.
On-premise, air-gapped, or cloud. Run local LLMs with zero internet dependency. Your data stays in your infrastructure. SOC 2, PCI DSS, and ISO 27001 compliance-ready from day one.
Real business outcomes that your board and auditors care about.
Focus remediation on vulnerabilities that are actionable and exploitable, not the thousands of theoretical findings that waste engineering hours.
Cut time-to-fix from weeks to days. AI-generated reports include exploitation proof, remediation steps, and severity context your developers need.
Ship faster without compromising security. Continuous testing integrates with your CI/CD pipeline and catches issues before they reach production.
Generate audit-ready offensive security reports automatically. Meet PCI DSS, SOC 2, and ISO 27001 requirements with evidence-backed security validation.
Codex is ThreatWell's source-code intelligence engine. It reads your source and dependencies like a vulnerability researcher and verifies what it finds against an AI-native corpus of 500,000+ CVEs and findings.
Codex follows untrusted data through your codebase the way a researcher would, reasoning about how data flows, not just matching signatures, then runs an adversarial verification pass that filters out hallucinated findings before they reach you.
Codex reasons over an AI-native vulnerability corpus: over 500,000 CVEs and findings, encoded for retrieval-augmented generation (RAG) so the AI works over it directly, and enriched with the techniques and methods for building working exploits, not just CVE metadata.
Command is ThreatWell's live-operations engine: autonomous reconnaissance, assessment, exploitation, and reporting against running systems, steered by your operators.
Launch AI-orchestrated attack sequences against your targets. Agents autonomously scan, analyze, and exploit, with full transparency at every step.
Map your target's entire attack surface before firing a single packet. AI-driven reconnaissance aggregates 40+ recon and intelligence integrations into a unified intelligence picture.
Designed for environments where security, reliability, and compliance aren't optional.
Deploy in classified and air-gapped networks. Run local LLMs via Ollama with zero internet dependency.
Anthropic, OpenAI, Mistral, or Meta, or any local model via Ollama. Switch between cloud and local inference seamlessly.
Add your own security tools through a standard plug-in interface. Each runs in its own isolated sandbox.
Everything in plain text. JSON, YAML, inspectable with cat and grep. No hidden state, no databases for settings.
ThreatWell deploys as cloud SaaS or fully on-premise (including air-gapped) and runs on the model you've already risk-reviewed.
Every day without continuous threat assessment is another day your attack surface goes unmonitored. See how ThreatWell closes the gap between how attackers work and how your organization defends.