Automated pentesting for SaaS
Automated pentesting for SaaS web apps and APIs.
AI agents test your SaaS app and its API the way an attacker would, and findings are checked against your live app before they reach the report. A run finishes within hours. From Standard level up, a security engineer reviews the report and it is released within one working day. A Light report is released as soon as the run completes.
Want it to run on a schedule? See continuous AI pentesting.
How it works
What an automated pentest does to your app.
AI agents
Specialist agents test in parallel
A coordinating agent runs one specialist per testing area at the same time, inside an isolated sandbox with sqlmap, nuclei, ZAP, ffuf and other tools.
Proof
Checked before it's reported
Before a finding is reported, its request is replayed against your live target. If it doesn't reproduce, it's dropped. Anything we can't replay is labelled as an unconfirmed lead, and a proof-of-concept agent re-runs the exploit on selected findings.
API-aware
APIs as well as the front end
Agents probe API endpoints for broken access control, IDOR, SSRF and business-logic abuse, mapped to the OWASP API Security Top 10.
Coverage
Mapped to OWASP WSTG
All 97 OWASP WSTG v4.2 test cases across 8 testing areas. The report ships as PDF, XLSX and JSON with a WSTG coverage matrix.
Multi-tenant
Tests SaaS roles and tenants
Give the agents more than one user role and they check whether one account can read or change another account's data. Deeper levels test more roles.
Safe by design
Rate-limited and non-destructive
Scope and off-limits paths are approved before any request is sent. Staging is supported.
Where it fits
When SaaS teams run one.
- ✓Before a launch, a big release or a customer's security review
- ✓When an enterprise buyer asks for a recent pentest report
- ✓As audit evidence for SOC 2, ISO 27001 or PCI DSS, with scope and methodology written down
- ✓On a regular rhythm, so new code gets tested too. That's continuous pentesting
- ✓After a fix, to retest the finding. A retest holds no credits
Between pentests
Passive monitoring keeps watch.
Our passive scan reads TLS, headers, cookies, DNS and network exposure on your live app without sending attack payloads, so it catches configuration drift between pentests. It isn't a pentest and doesn't prove exploitability.
FAQ
Automated pentesting, answered.
What's the difference between monitoring and an automated pentest?
Monitoring is passive. It reads what your live app exposes (TLS, headers, DNS, open ports) and flags drift, and it never sends an attack payload. An automated pentest is active: AI agents send crafted requests, chain them, and try to exploit issues like SQL injection, XSS, broken access control and IDOR. Findings are checked against your live app before they're reported, and anything that can't be confirmed is labelled as an unconfirmed lead. Most SaaS teams run both, monitoring for day-to-day hygiene and pentests for proof.
Can automated pentesting replace a human pentester?
No, and we don't claim it does. Our agents cover the broad web and API surface quickly and drop findings that don't reproduce, and from Standard level up a security engineer reviews each report. People are still better at deep, domain-specific business logic and one-off creative targets. A common setup is automated pentests on a regular rhythm, plus a human-led test for the paths that need judgement.
How does an automated pentest confirm a finding without breaking my app?
Runs are rate-limited and non-destructive, and the scope is approved before any traffic is sent. Exploitability is usually confirmed from the response: a blind SQL injection shows a measurable timing difference, and broken access control returns 200 where it should return 403. Tests can still create test data, so staging is a good place for a first deep run. Each confirmed finding comes with the exact request, the response and the steps to reproduce it.
Can I run continuous pentesting against staging instead of production?
Yes. Pentests can target staging or a preview environment, and that's often the safer place for a first deep run. Continuous pentesting, where a pentest reruns on a schedule, is covered on its own page: barrion.io/learn/continuous-pentesting.
How much does an automated pentest cost for a SaaS app?
Self-serve pentests are paid in credits at €0.50 each. A Light run holds 400 credits (3 agents, no expert review), Standard 1,000 (5 agents, 1 hour of expert review) and Deep 4,000 (20 agents, 2 hours of review). A run is charged for what it uses, with a minimum of 100 credits, and a failed run is free. Retesting a finding holds no credits.
Will automated pentest findings be accepted as compliance evidence?
The report is built as evidence for the pentest requirements in SOC 2, ISO 27001 and PCI DSS (in PCI DSS v4.0.1 that's requirement 11.4). It documents scope, methodology and the proof behind each confirmed finding, and from Standard level up a security engineer reviews it before release. Whether it's accepted is your auditor's decision and depends on scope.
Run an AI pentest on your SaaS app.
Pay in credits and start today, or book a call and we'll scope continuous testing across your apps.