Your pentest runs once a year.Attackers don't.

BugDazz Autonomous deploys AI agents that understand your environment, chain real-world attack paths, and deliver validated, working exploits - not flags, not scores.

Request a Llive Demo
Autonomous pentest · Dashboard
BugDazz Autonomous dashboard — risk, trend, assessments overview
Autonomous pentest · Dashboard — full screenshot

Your attack surface changes every deploy. Your pentest shouldn't wait.

BugDazz Autonomous deploys AI agents that understand your environment, chain real-world attack paths, and deliver validated, working exploits - not flags, not scores.

Request a Live Demo
Autonomous pentest · Dashboard
BugDazz Autonomous dashboard — risk, trend, assessments overview
Autonomous pentest · Dashboard — full screenshot

Trusted by security teams across BFSI Fintech, SaaS & Education, Enterprise & Telecom, Security & Critical Infrastructure

Airbase
Quiltt
Pacvue
Imagine Learning

Independently audited —

Backed by the credentials your customers already require.

Every Autonomous engagement is delivered under the same accreditations SecureLayer7 carries across PTaaS and API Scanner.

CREST accredited
CREST
Accredited company & testers
AICPA SOC 2 Type II
SOC 2 Type II
Independently audited
ISO/IEC 27001
ISO/IEC 27001
Information Security Management

Mapped to engagement requirements across

SOC 2 Type IIPCI DSSHIPAAISO/IEC 27001GDPRNIST CSFand others

What Autonomous is —

Pick a surface.Autonomous runs the attack.

One surface per engagement. Pick the assessment, point it at your app, authenticate — the engine runs the rest.

Every finding ships with the exploit that proved it. Rabit0, SL7's validation gateway, rejects what can't be reproduced.

See how it works
Assessment type
  • Web / API
    Web apps and REST / GraphQL APIs
  • Active Directory
    AD enumeration, credential attacks, lateral movement
Target · Auth
Target
Agents
Options
Schedule
Target URL
https://acmepentest.com

Full URL including https://

Authentication
Form-based LoginLogin Verified
01
Pick scope
Web / API or Active Directory. Authenticate.
02
Engine maps
Surface inventory, entry points, attack paths.
03
Agents attack
Chained exploits, validated through Rabit0.
04
Proof lands
Exploit, impact, fix, re-verify on patch.

Engagement velocity

From signed PO to first exploit. Ten minutes.

Measured per engagement · from PO countersign

6 weeks · industry
10 min · autonomous

No scoping call. No Gantt chart. No four-week kickoff. Exploits land first.

What arrives —

Not a flag. Not a score. A proven exploit.

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.

Vulnerability · Finding detail
BugDazz Autonomous finding detail — Hardcoded Credentials, CVSS 9.5
Vulnerability · Finding detail — full screenshot
Per finding
  • Request / response trace
  • CVSS vector + impact
  • PoC script
  • Fix diff
  • Auto re-verify on patch
Safety & validation
  • 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
Delivered into
  • JIRA
  • Slack
  • ServiceNow
  • GitHub Actions
  • Webhook
Findings route to the tool your team owns — the moment exploitation is proven.

Benchmarked against —

The industry average. The Rabit0 difference.

Industry baselines below: annual cadence, weeks of reporting, fix rates under thirty percent. Autonomous moves each by an order of magnitude.

Numbers measured across delivered engagements · methodology on technical review

Read the methodology
Cadence
Once a year
Industry avg
Every deploy
With Autonomous

Runs across Web, API, and AD — on every CI/CD push, scheduled window, or on-demand.

Time to first finding
3 – 6 weeks
Industry avg
Under 10 min
With Autonomous

From signed PO to first exploit, same session. No scoping call. No kickoff.

Fix rate on findings
Below 30%
Industry avg
80%+
With Autonomous

Developers fix what they can reproduce. Each finding ships with a working exploit — the “is this real?” argument ends there.

Price per engagement
$15K – $35K
Industry avg
$4K / surface
With Autonomous

$4K per surface, on-demand, CREST-backed. Enterprise tiers for fleet-wide coverage.

Rabit0 — Validation engine

Trained on disclosed CVEs. Not on lab signatures.

SL7’s validation engine. Trained on years of SL7 Lab’s published CVE research.

  • Public CVE research

    Years of SL7 Lab's own disclosures feed the validation library.

  • Deception-aware

    Filters bait paths, planted CVEs, and hallucinated assets before any finding ships.

  • Reproduction-gated

    What lands in your report ran in your environment first. No lab replicas.

SL7 Lab —

Disclosed in production. Verifiable on NVD.

Vulnerabilities found, disclosed, and fixed in production software. Linked to the source on each row.

See how Rabit0 finds these
SL7 Lab · Disclosure ledger5 / 5
NVD indexed
Featured · WatchCVE-2026-25049

Rabit0 finds the n8n RCE

Remote Code Execution via JavaScript destructuring · CVSS 9.4

Read disclosure
Open source
Sandyaa — autonomous source-code audit agent
github.com/securelayer7/sandyaa

From the field

Vikramjeet Singh
“Honestly didn't expect a working exploit on something our quarterly had already cleared. Not the usual outcome.”

Vikramjeet Singh · Information Security · formerly at Ericsson

Try it on your stack —

Bring a surface from your stack. Get back a proven exploit.

Live engagement on a surface you choose. Architecture and methodology walked through on technical review.

Request demoHow it works