How XBOW Works
Autonomous agents. Deterministic validation. Real offensive security tooling. This is the architecture behind continuous, exploit-validated pentesting at machine scale.
Proof Over Probability
Most security tools prioritize signal volume — more alerts, more noise, more triage for your team.
XBOW is built on a different principle:
Autonomous agents explore creatively, but findings are only accepted when exploitability is confirmed through controlled validation.
Creative AI discovers. Deterministic logic decides what's real.
This separation — exploration from verification — is what enables depth, scale, and trust simultaneously.
How XBOW Tests
Like an Adversary
XBOW doesn't follow a checklist. A persistent coordinator directs thousands of parallel agents, each with fresh context and a focused objective.
Agents attack, adapt, and report back. Findings are validated before they ever reach your team.
Architecture Built for Scale and Trust
XBOW is a coordinated system of autonomous agents, deterministic validators, and real offensive security tooling — designed for large, complex, production environments.
Solution Components
Coordinator
Persistent orchestration and decision engine
Maintains a global view of the environment, identifies attack surface, and continuously directs testing. Applies deterministic logic to debrief agents, refine findings, and prioritize next actions.
Autonomous Agents
Short-lived, focused attack workers
Independently, thousands of agents explore specific targets and attack techniques using creative, human-like reasoning. They operate in parallel at scale and are retired after completing their mission to avoid accumulated bias or error.
Attack Machine
Real-world offensive security toolkit
A shared execution environment provides agents access to industry-standard and custom-built security tools, a steerable headless browser, and collaboration services for safe exploit validation.
Validators
Exploit verification
Confirm whether a discovered issue is truly exploitable using controlled, production-safe challenges. Reduce false positives by enforcing objective proof before findings are surfaced.
Findings & Intelligence
Verified, actionable security output
Validated results are promoted to platform intelligence and customer reporting, ensuring high confidence, clear evidence, and developer-ready remediation.
Why Single-Agent AI and Scanners Fall Short
Single-agent AI systems and traditional scanners struggle at scale. Long-running agents accumulate incorrect assumptions, lose context, and get stuck pursuing incomplete ideas. Checklist-based tools prioritize volume over certainty, and only finds known vulnerabilities.
XBOW is designed differently.
Many focused agents, not one monolithic AI
Thousands of short-lived agents, each starting fresh with a narrowly scoped objective. No accumulated bias. No context collapse.
Creative discovery,
separated from verification
AI is used where reasoning and creativity matter — exploring attack paths, adapting to defenses. Deterministic logic governs what counts as a finding.
Proof, not probability
Findings are delivered with the actual, reproducible exploit as evidence. If it can't be proven, it doesn't ship.
This separation of exploration and verification enables depth, scale, and trust.
Built for Production Environments
Non-destructive Validation
Exploit validation uses controlled challenges that confirm exploitability without modifying data or disrupting systems. Validation logic is deterministic — consistent and auditable.
Observable and Constrained
All autonomous activity is constrained, observable, and reviewed before findings are surfaced, allowing teams to run continuous testing with confidence, without introducing additional operational risk.
Deployment Aligned with Compliance
Deployment options are designed to meet customer security, isolation, and compliance requirements.
See Autonomous Offensive Security in Action
XBOW surfaces real, exploitable risk — continuously and at scale. Creative AI discovers. Deterministic logic validates. Your team remediates what matters.
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