Old Way
- Weeks to schedule and scope a single engagement.
- Six figures per pentest, once a year.
- A PDF that's already stale on arrival.
- One snapshot, then blind for 12 months.
Backed by Small AI LabPTaaS
Berdaya is Penetration Testing as a Service. AI agent swarms attack your live web apps, APIs, and cloud in parallel, prove every vulnerability with a working exploit, and help you fix it — continuously, not once a year.
Agent swarm · unsupervised
128 agents · liveapp.yourcompany.com
Your live app · target
fig. 01 — the swarm, at workpowered by BRD-1
Trusted by security & engineering teams at
[ the problem ]
Old Way
The Berdaya Way● Swarm active
[ proof, not alerts ]
Agents attack the running application the way an attacker would. When you connect the repo, they trace each finding back to the code that caused it — and deliver an exploit proof, or a patch.
</> repo
Source code
Optional
128 agents
Agent swarm
Unsupervised · parallel
https://
Your live app
Real defenses, real data flows
chain →
Working attack chains
Tested against your app
proof ✓
Exploit proof — or patch
Then retested until it holds
Verified findings, not a PDF six weeks later. First deployment in under 10 minutes, first proven findings in under 8 hours.
<8 hrs · vs 2–6 weeks traditional
Hundreds of security agents run in parallel as one swarm. Coverage scales with your attack surface, not your headcount.
128+ agents per target
Agents validate every finding with a working exploit and steps to reproduce — so your team never chases ghosts.
<1% false positives · 100% with proof
Start tests from CI/CD, push findings to your tracker, and drive the swarm through API and MCP — no UI needed.
GitHub · GitLab · Linear · Jira · Slack · CI/CD · API · MCP
[ how it works ]
From first deployment (< 10 min) to verified findings (< 8 hrs).
Traditional pentest: 2–6 weeks, then blind for 12 months.
[ the product ]
Findings › Acme API pentest › BRD-142
All findings 47
SEARCH ▾
Showing 4 of 47 findings · every one with a working proof-of-concept
CriticalBRD-142 · CWE-89 · users-repository.ts:42
The search parameter on GET /api/users is concatenated directly into a SQL query without parameterization. An attacker can inject arbitrary SQL to read or modify data belonging to other tenants.
Reproduction · proof of exploit
Select a finding on the left — every detail, reproduction, and fix action is real product UI.
[ agent context ]
Agents build on what they learn about your application — its permissions, data flows, and defenses. Each run starts with that context, so coverage compounds instead of resetting to zero like an annual pentest.
Berdaya performance · internal benchmarks (2026)
OWASP Juice Shop
pass@1 · exploitable findings
Unseen internal benchmark
pass@1 · held-out targets
Business-logic flaws
pass@1 · scanners miss these
Internal benchmarks, 2026 · measured on exploitable, manually verified findings — not scanner alerts.
[ coverage ]
Berdaya runs continuously across your code, cloud, and dependencies — and puts everything it finds in one place.
/ pentesting
Continuous, unsupervised pentesting of web apps and APIs — with a working proof-of-concept for every finding, not a scanner alert.
/ sentinel
An AI reviewer on every pull request. Catches vulnerabilities and risky changes before they merge and reach production.
/ cloud
Continuous checks for cloud misconfigurations, exposed services, and account-takeover paths across your infrastructure.
/ watchtower
Every asset you've exposed — subdomains, staging, forgotten services — mapped, watched, and folded into the swarm's scope.
/ supply-chain
Leaked keys and credentials in repos and history, plus vulnerable dependencies — flagged only when actually reachable.
[ safety ]
All the findings of a real attack, none of the fallout. Unsupervised never means uncontrolled — guardrails, SSO, and audit trails are built in.
Agents prove a vulnerability exists, then stop. No chaining or escalation without your explicit go-ahead.
Agents stay inside the targets and rules of engagement you authorize. No wandering into systems that aren't in scope.
No dropped tables, no deleted data, no denial of service. Testing is safe against production by design.
Every action an agent takes is logged and reviewable, so you can see exactly what happened — and show your auditor.
[ faq ]
How unsupervised agents stay safe, why source code is optional, and how Berdaya differs from a scanner.
Talk to the Berdaya teamThe swarm plans, attacks, chains findings, and validates exploits on its own — no consultant driving it and no queue for a human pentester. You set the scope and guardrails once; Berdaya runs continuously inside them and only surfaces findings that are already proven.
Start testing today — a URL and credentials is all it takes. First proven findings land within hours, not weeks.