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Get StartedBugDazz Autonomous deploys AI agents that understand your business context, chain multi-step attack paths, and deliver working exploits with proof. Not findings. Not flags.
Engagement velocity
Measured per engagement | from PO countersign
6 weeks | Industry 10 min | Autonomous
No scoping call. No Gantt chart. No four-week kickoff. AI-assisted development has compressed release cycles significantly. Every release changes your attack surface. Your pentest needs to keep up.
What arrives
Every finding arrives with the request that reproduced it, the impact it landed, the fix that closes it, and a re-verification hook that runs the moment you ship the patch.
Agents chain vulnerabilities across your surface the way a real attacker would, combining a misconfiguration, an exposed credential, and a logic flaw into a single exploitable path.
Goes beyond OWASP Top 10 into complex, multi-step attack scenarios that scanners structurally cannot reach.
Scope
Your surface only - path excludes, rate limits, windows
Payload corpus
Safe by default - destructive payloads gated on explicit consent
Data residency
Target traffic stays in your perimeter
Validation
Rabit0 consensus rejects bait paths and hallucinations before any finding ships
Trigger a full engagement from your CI/CD pipeline. Findings route directly into your teams operational workflows the moment exploitation is confirmed. Dev teams work in the tools they already own. No waiting on reports, no translation layer.
Inside the engine
Specialist agents handle each phase: Recon, Vulnerability Discovery, Exploitation, and Validation. Every payload, finding, and verdict passes through the Rabit0 trust layer before it leaves.
Rabit0 ingests your industry context, what your application does, what compliance frameworks apply, and what the critical business flows are, then builds test cases around them.
Once a year
Industry avg
Runs across Web, API, and AD - on every CI/CD push, scheduled window, or on-demand.
3 – 6 weeks
Industry avg
From signed PO to first exploit, same session. No scoping call. No kickoff.
Below 30%
Industry avg
Developers fix what they can reproduce. Each finding ships with a working exploit - the “is this real?” argument ends there.
Trained on disclosed CVEs. Not on lab signatures.
SL7’s validation engine. Trained on years of SL7 Lab’s published CVE research.
Years of SL7 Lab's own disclosures feed the validation library.
Filters bait paths, planted CVEs, and hallucinated assets-pentest before any finding ships.
What lands in your report ran in your environment first. No lab replicas.
Every engagement closes with the artIfacts engineering, security, and audit teams need - same evidence, multiple lenses.
Risk story for the leadership team. Findings ranked, scope shown, methodology cited.
Per-finding repro: request, response, impact, fix, ATT&CK technique ID.
Signed event log + finding records. Replayable end-to-end.
Open findings, status, retest hooks. RBAC-scoped to your tenant.
Hook fires the moment you ship the patch. PASS or FAIL written back to the dashboard.
Per-engagement findings mapped to SOC 2, ISO 27001, PCI DSS, HIPAA, and CERT-In control requirements. Auditor-format variants on request.
Pick a web app, API, or Active Directory environment from your stack. We'll run a live engagement, walk through what the agents found, and show you exactly how the attack chain was built.
