How BugDazz Autonomous works –
What Autonomous tests, how the engine attacks, and the validated proof of exploit you receive.
Trusted by security teams across Fintech, SaaS & Education, Enterprise & Telecom, Security & Critical Infrastructure
Beyond the checklist —
Every engagement starts from published doctrine. The AI agents read the asset's auth, state, and decision paths, then write per-asset cases against business logic your code alone knows. Exploits that close deals live beyond the checklist.
OWASP and MITRE map where to look. The surface itself shows what breaks. Discovery on request — domain, ASN, or SaaS tenant.
OWASP API Top 10·OAS / contract
Object-level authorisation, mass assignment, unrestricted resource consumption — and the business flows the contract documents but the scanner skips. We diff the contract against the implementation, then test the gap.
OWASP Top 10·OWASP ASVS
Authentication, authorisation, business-logic flaws, chained injections — the Top-10 classes are baseline. Per-asset work covers state machines, multi-step flows, and the auth boundaries your scanner cannot model.
MITRE ATT&CK·TA0006 · TA0008
The credential-access and lateral-movement chains real red teams use. Mapped to ATT&CK techniques, executed against your tenant — domain trust, delegation paths, ACLs, and the misconfigurations checklists never reach.
Inside the engine —
Rabit0-gated egress · VPC-only execution
Specialist agents per phase — Recon, Vulnerability, Exploit, Validation. Every payload, finding, and verdict crosses the Rabit0 trust layer before it leaves.
Orchestration
Phase Machine
Walks the engagement through Recon, Vulnerability, Exploit, Validation. Enforces order; no skipping.
Orchestration
Quality Gates
Stops the run if scope, evidence, or signal quality fall below threshold.
Orchestration
Memory
Single source of truth across phases — graph, hypotheses, evidence, prior runs.
Orchestration
RBAC + Audit
Per-engagement access control. Every agent action signed and logged for replay.
AI Trust Layer
Rabit0
Validation gateway. Sanitises payloads in, judges findings out, gates egress.
Agent Crew · 01
Recon Agents
Map the in-scope attack surface. Build the graph downstream phases consume.
Agent Crew · 02
Vulnerability Agents
Hypothesise weaknesses, probe with reversible checks, triage before escalating.
Agent Crew · 03
Exploit Agents
Chain safe proof-of-concept exploits to demonstrate real impact. No destructive operations.
Agent Crew · 04
Validation Agents
Reproduce findings end-to-end before release. Every verdict runs through Rabit0.
Execution Planes
Crawl Plane
Headless browser pool plus LLM page analyser — handles SPAs, auth, forms.
Execution Planes
Tool Plane
Sandboxed pentest tools invoked via templated arguments. Each call isolated and rate-limited.
Engagement
Target
The customer asset under test. Actions stay in scope.
Finding Lifecycle · 01
Parse
Normalise raw tool output into structured records — one schema, every source.
Finding Lifecycle · 02
Consolidate
Deduplicate against prior runs and sibling agents. One bug, one record.
Finding Lifecycle · 03
Enrich + Judge
Add CVE, CWE, business-impact context. Rabit0 judges for false positives.
Finding Lifecycle · 04
Validate
Reproduce end-to-end. Only verified findings flow back as a validated finding.
Production-safe —
BugDazz Autonomous has been delivered against live production environments since the platform shipped. Quality gates halt the run on threshold breach, probes are reversible by default, tools sit in a sandboxed pool, and execution stays VPC-only — the engine never leaves your boundary.
Quality gates
Configurable thresholds halt the engagement at any breach. Failures escalate to a human; nothing auto-merges.
Reversible probes
Vulnerability agents probe with low-impact reversible checks. Exploit agents chain safe proof-of-concept payloads. No destructive operations on customer assets.
Sandboxed tool pool
Every tool invocation runs in an isolated, rate-limited pool. Argument-templated execution; no shell-injection paths.
VPC-only execution
Crawler and tool services on internal ALB. No public ingress on engagement workers. Credentials Fernet-encrypted in AWS Secrets Manager; database in private subnets.
In the chair —
Engagement state — current phase, in-flight payload, agent decisions — written to a signed event log scoped to your tenant. Quality gates halt the run at any threshold breach for human review.
Phase machine
Recon → Vulnerability → Exploit → Validation. State and current agent visible at every transition.
Action log
Every agent decision and HTTP exchange signed, attributed, and ordered. RBAC-scoped to your tenant.
Quality gates
Configurable thresholds halt the engagement for review. Failures escalate; nothing auto-merges.
Validation pass
Findings reproduced end-to-end before sign-off. Re-run hook fires the moment you ship the patch.
What ships —
Every engagement closes with the artefacts engineering, security, and audit teams need — same evidence, multiple lenses.
Executive PDF
Risk story for the leadership team. Findings ranked, scope shown, methodology cited.
Technical PDF
Per-finding repro: request, response, impact, fix, ATT&CK technique ID.
JSON evidence bundle
Signed event log + finding records. Replayable end-to-end.
Live portal dashboard
Open findings, status, retest hooks. RBAC-scoped to your tenant.
Re-verification
Hook fires the moment you ship the patch. PASS or FAIL written back to the dashboard.
Compliance-ready report
Per-engagement findings mapped to SOC 2, ISO/IEC 27001, PCI DSS, HIPAA, and CERT-In control requirements. Auditor-format variants on request.
Sample report
Pre-vetted sample engagement report — all artefacts, all sections, redacted for share.
What customers ask —
Different scope or constraint?
AI in our engagements —
AI accelerates recon, surface mapping, and report drafting. CREST-accredited researchers chain the exploit and sign every finding. We publish the handoff per phase so your auditor can read it.
Try it on your stack —
Pick the surface — the tier sets scope, runtime, and deliverables. Priced up front.
