Automated pentesting SaaS
Pentesting on autopilot, plus a real engagement when it matters.
Two products in one platform: continuous, production-safe scans for daily coverage, and on-demand AI pentesting for proof-of-exploit findings.
What's in the box
From continuous coverage to aggressive AI pentests.
Continuous
Always-on production-safe scans
Daily or weekly cadence across TLS, headers, CORS, cookies, DNS, email auth, network exposure. No payloads, no surprises, safe to run in prod.
AI pentesting
Deeper engagement on demand
When you need it, our AI actively attacks your app, chains requests, and confirms genuinely exploitable vulnerabilities with reproducible proof-of-exploit.
API-aware
Coverage for APIs too
Not just the front-end. AI pentesting probes API surfaces for broken access control, IDOR, SSRF, and business-logic abuse.
Triage
Severity-prioritized findings
Critical and high at the top, score-impact-weighted. Auditor-ready PDFs and CSV exports out of the box.
Stack-aware
Framework-specific remediation
Remediation written for Next.js, Django, Laravel, Express, Rails. Copy-paste-ready, not OWASP boilerplate.
Safe by design
Rate-limited and non-destructive
Both continuous and AI pentesting are designed to confirm exploitability without altering data or affecting availability.
When to use each
Pair the two for full coverage.
- ✓Continuous monitoring catches misconfiguration drift between releases
- ✓AI pentesting validates exploitability before audits, launches, or board reviews
- ✓Together they replace the gap between an annual pentest and a real security team
- ✓Reports from both feed the same audit-ready evidence pack
- ✓Findings flow into GitHub PRs for the engineering team to triage
FAQ
Automated pentesting, answered.
What's the difference between continuous monitoring and AI pentesting?
Continuous monitoring is production-safe and passive, it observes what your live app exposes (TLS, headers, DNS, network surface) and flags misconfiguration drift in real time. AI pentesting is an active engagement: the AI sends crafted requests, chains them, and confirms exploitable vulnerabilities like SQL injection, XSS, broken access control, and IDOR with reproducible proof. Most teams pair the two: monitoring for ongoing hygiene, pentesting before audits and launches.
Is automated pentesting accurate enough to replace human pentesters?
Not entirely. Automated pentesting is excellent at OWASP Top 10 categories that follow predictable patterns (injection, misconfigurations, missing headers, broken authentication). It's weaker at business-logic flaws, multi-step attack chains specific to your domain, and creative exploit composition. The pragmatic stack is automated pentesting between major human engagements, plus a focused human pentest before annual audits or product launches.
How does AI pentesting confirm exploitability without breaking my app?
AI pentests are rate-limited and non-destructive. They confirm exploitability by observing the response signature (e.g. a successful blind SQLi returns observable timing differences; broken access control returns a 200 where it should return 403) rather than by writing data or destroying state. Every confirmed finding includes the exact request, response, and exploit chain for verification.
Can I run continuous pentesting against staging instead of production?
Yes, and many teams do. Continuous monitoring on Essential or Business supports any domain you control, staging, preview environments, or pre-launch surfaces all work. AI pentesting can also target staging, which is often the safer choice for the first run of a deeper engagement.
Will automated pentesting findings be accepted as compliance evidence?
For SOC 2, ISO 27001, and PCI DSS, automated scanning with documented cadence is widely accepted as ongoing-monitoring evidence (control families like SOC 2 CC7 and PCI DSS Requirement 11). For pentest-specific requirements like PCI DSS Requirement 11.3 (penetration testing), automated pentesting can supplement but does not fully replace human pentests. Many auditors accept a mix as long as the cadence and scope are documented.
See it run against your app.
60 seconds to your first report. Sign up to set up continuous monitoring, or contact us to scope an AI pentest.