ZeroThreat wins the 2026 Cybersecurity Excellence Award for Web App Security Read more 
Application-Aware AI Pentesting That Prioritizes Risk
AI pentesting engine learns what your application protects, exploits the flaws that put it at risk, and ranks every finding by real business impact, so your team fixes what threatens the business first, not the loudest CVSS score.
- Logs in and Tests Behind Authentication
- Tells You What to Fix First, Ranked by Business Impact
- Cuts AI Engine Consumption per Scan
10X
Faster Than Traditional Pentesting
100%
Automated Attack Surface Discovery
0
False Positives
99.9%
Detection Accuracy
AI Penetration Testing Across Your Full External Attack Surface
ZeroThreat does not stop at crawling pages or APIs. Its AI web application security testing and AI API security testing evaluate the full external attack surface, from exposed ports, SSL/TLS, DNS, and mail security configuration to web applications, APIs, authenticated areas, workflows, inputs, vulnerability detection, and reporting.
This AI security testing gives teams a complete view of what attackers can discover, reach, test, and exploit from the outside.
Network & Infrastructure
Exposed ports, SSL/TLS, DNS, and mail security configuration
Application Surface
Web pages, APIs, forms, SPA routes, and workflows
Authenticated Areas
Behind login, sessions, and user roles
Inputs & Business Flows
Inputs, methods, parameters, and business logic flows
Validated Reporting
Findings with evidence, impact, and priority
The AI Pentesting Tool That Knows Which Risk Matters
Our AI pentesting reasons about your application's business context, deciding what to test, in what order, and which findings actually put the business at risk.
Scan the Full Application Around Your Business Objective
ZeroThreat maps your entire application and its real workflows, learns what each flow is meant to protect, payments, accounts, tenant data, and tests against that business context, then exploits the weaknesses that put those objectives at risk.
Re-Test Known Findings First, Then Hunt What Changed
Every run opens with your previously reported vulnerabilities, re-testing them first and analyzing whether they still hold. It then detects newly added or modified APIs and shifted payloads, and targets those changes before anything else.
Surface New Risks Introduced Since the Last Pentest
ZeroThreat compares the current application against its prior understanding, isolates what's new or modified, endpoints, parameters, flows, and concentrates testing where the app actually changed, so risk never goes stale between releases.
Six Capabilities That Define Modern AI Pentesting
i.
Deeper Application Coverage
Most scanners only test what's linked from the front door. Our AI pentesting reads your JavaScript bundles to reach the client-side routes, hidden views, and shadow API endpoints buried in the front-end, so the deeper parts of your application get tested, not skipped.
ii.
Attack Path Chaining & Exploit Validation
A single low-risk finding rarely tells the whole story. ZeroThreat links individual weaknesses into multi-step attack paths, surfacing the authorization and business-logic flaws scanners overlook, and proving the full route to your data, not just the isolated pieces.
iii.
Complex-Workflow Based Testing
Automatically identify complex multi-step workflows, logins, carts, wizards, SPA flows, and drives them like a real user, with no Playwright specs to write or maintain. That automation also keeps each scan efficient: the engine reaches full workflow depth with less AI engine consumption, so you spend fewer credits getting there.
iv.
Zero False Positive
Every finding is independently validated with a reproducible exploit before it reaches your report, eliminating the false positives of legacy scanners and the hallucinations of generic LLMs, so what you triage is proven, not guessed.
v.
Complete Attack Surface
A single map of your full surface, application pages, API requests, forms, and network services, with public versus private exposure flagged per asset, and every asset linked to the findings it produced.
vi.
Automated Remediation & Retesting
Move from finding to fix without manual effort. Generate framework-aware remediation guidance, validates the implementation, and lets you retest the application to confirm the vulnerability has been eliminated.
Real-World Results That Prove It Works
5.0
"ZeroThreat gives our team an easy, highly accurate way to test the security of our applications and APIs. Its AI-powered engine for automation is both powerful and straightforward to use."
Proof, Priorities, and a Plan in Every AI Pentest You Run
Each AI pentesting run ends in an actionable report, with findings ranked by business impact, proven with evidence, and sequenced into a fix plan.
A Prioritized, Time-Boxed Fix Plan
Every report opens with a plain-language summary and a ranked "if you do only three things" plan, each step tied to the findings it clears and the effort it takes. Work is bucketed by fix window so teams know exactly what's urgent.
- Business-aware risk prioritization plan built during the scan
- Findings grouped by deadline: immediate, 7, 30, and 90 days
- Effort and impact estimated per fix
Evidence-Backed, Reproducible Findings
No guesswork. Each finding shows why it's prioritized, what was found, the exact request and response evidence, and step-by-step remediation, plus an effort estimate and one-click re-test to confirm the fix held.
- Raw request and response evidence for every finding
- Framework-aware "how to fix" steps with effort estimate
- One-click re-test to verify remediation
Watch the Attack Execute, Phase by Phase
Each scan runs as a transparent attack execution, scope, discovery, surface review, business-aware prioritization, active testing, and verification, so you see exactly what was tested. The final phase re-validates every finding before it reaches the report.
- Live attack execution, fully visible
- Thousands of requests across pages, APIs, and forms
- Verification phase re-validates each finding
Every Finding, Mapped to Your Frameworks
Rank your business risk and generate audit-ready evidence with our AI pentesting tool. Map every validated finding to the standards your auditors and customers care about, down to the specific control that failed.
Findings Tagged to Controls
Each validated finding is linked to the exact control it breaks, PCI 6.2, ISO A.12, OWASP A05, and more, not just a generic severity label.
Per-Framework Pass / Fail Breakdown
Every report shows where you stand against each standard, so compliance gaps are obvious to your team before an auditor ever finds them.
Export-Ready Audit Evidence
Hand the report straight to auditors or drop it into customer security reviews and vendor questionnaires no reformatting required.
Trusted by Security Teams Worldwide
Setting up ZeroThreat was incredibly smooth. Integrating it into our CI/CD pipeline allows every build to be scanned automatically, catching security issues early instead of after deployment.
DevSecOps Lead
ZeroThreat provides accurate scans without the usual false alarms. It detects real, exploitable issues and business logic flaws continuously, significantly reducing our dependency on manual pentests.
Security Engineer
Setup was effortless, and pentests ran in minutes. Straightforward insights and easy reports allow us to fix vulnerabilities at release speed, providing a proactive approach to security standards.
VP of Product Development
Frequently Asked Questions
What is AI pentesting?
AI pentesting is an advanced form of penetration testing that uses autonomous AI agents to discover, analyze, and validate security weaknesses across web applications and APIs. Unlike traditional scanners, AI pentesting can explore application workflows, test business logic, and validate real attack paths to identify exploitable risks.
How is AI pentesting different from traditional penetration testing?
What types of vulnerabilities can ZeroThreat’s AI pentesting detect?
Does AI pentesting replace human pentesters?
Don't Let Critical Business Risks Go Unnoticed
Prioritize exploitable attack paths based on business impact, exposed data, and attacker outcomes, not vulnerability counts.