Hard scope walls
In-scope targets only, enforced at the infrastructure level, not by a prompt the agent might talk its way around.
The method
From scope to immunity, step by step.
Autonomous agents do what they're great at: relentless, creative attacking. Humans do what they're great at: judgment, verification, and writing findings your team can act on. Here's the full run.
Scope & rules of engagement
Before anything runs, we fix the contract: targets, boundaries, safe-mode rules, and emergency contacts. What's in scope, what's forbidden, what happens if a finding looks bigger than expected. Everything is authorized in writing: the difference between a pentest and a breach is paperwork and intent.
Recon & attack surface mapping
The swarm starts where every real attacker starts: discovery. Live assets, forgotten subdomains, undocumented API endpoints, exposed services, leaked secrets. You'd be surprised how much of your perimeter you've never inventoried; agents build that inventory in hours.
Autonomous attack & chaining
Now the agents attack: probing business logic, abusing auth flows, chaining a low-severity leak into a critical path, the way a creative human adversary would, but at machine speed and around the clock. Every action is logged for the final report.
Human verification & the report
Every finding is reproduced by an operator before you ever see it. The report walks through root cause, the exact steps, the attached proof, and the fix. No theoretical noise, no scanner spam: validated issues, ranked by how an attacker would actually use them.
Fix, retest, stay immune
You patch. We re-attack the exact paths and confirm the fix holds. That's the part most pentests skip. In continuous mode, the swarm re-runs on every release, so your immunity tracks your velocity instead of your audit calendar.
The deliverable
Inside the report.
An executive summary your board can read, a technical core your engineers can act on today, and evidence your auditors can archive. Something like this, but real, and about you:
vibeprooflabs · engagement #042 · acme-corp.app
3 crit
9 high
21 med
VPL-042-01
SSRF → cloud metadata → credential theft chainfull attack path · PoC attached · fix: block metadata route & rotate keys
critical
VPL-042-02
Account takeover via password-reset poisoningroot cause: host-header trust · PoC attached · fix: pin reset base URL
critical
VPL-042-03
IDOR across tenant boundary on invoice exportobject-level auth missing · fix: ownership check + regression test
high
VPL-042-04
Stored XSS in support-ticket markdown → admin session hijacksanitizer bypass · PoC attached · fix: allowlist + CSP hardening
high
VPL-042-05
Verbose error responses leaking stack & dependency versionsinformation disclosure · fix: generic errors in prod
medium
Illustrative data; a real report contains your findings, evidence and remediation detail.
Safety
Autonomous doesn't mean unaccountable.
The same properties that make agents powerful attackers make them dangerous houseguests. Ours operate in a frame built for production environments:
Non-destructive by default
No data exfiltration beyond proof, no destructive payloads, no brute-force floods. Proofs are minimal and reversible.
Every action logged
A complete audit trail of what the swarm did, tried, and found ships with your report, reviewable by your own security team.
FAQ
Asked, answered.
Is this really "agentic", or a scanner with marketing?
Scanners match signatures against known patterns. Agents plan: they explore your application, form hypotheses, test them, fail, adapt, and combine small issues into serious attack paths. That behavioral difference is why they find what scanners structurally can't: business logic flaws, chained vulnerabilities, novel misuse of designed behavior.
What stops the agents from damaging my production systems?
Three layers: infrastructure-level scope walls (targets outside scope are unreachable, not merely discouraged), non-destructive operating rules baked into every engagement, and human operators supervising the run. Proofs are minimal; we demonstrate impact, we don't indulge it.
Do humans actually review the findings?
Every single one. Agents draft; operators verify, reproduce, and grade severity by real-world impact. You never receive unvalidated scanner-grade noise. The volume is manageable precisely because agents are told to chase exploitable chains, not ticket-quota counts.
How is this different from a bug bounty program?
A bounty waits for someone to stumble on your bugs. We aim the swarm at your stack on your timeline, under rules you control, with a guaranteed report at the end. Same adversarial creativity, as a product, not a lottery.
How long does an engagement take?
A scoped single-surface engagement typically runs days, not weeks. Multi-surface campaigns run in parallel across the swarm. Continuous mode never "finishes"; it re-attacks on every release. Exact timelines come with the scope proposal.
What do you need from us to start?
A target list, any credentials or staging environments you want included, and a sign-off on the rules of engagement. That's it. We come back with the scope proposal, timeline, and everything your legal and security teams need to review.
See what the swarm finds in your stack.
One conversation, one scope proposal, zero obligation, and possibly the finding a vibe hacker would have sold.