ZeroThreat positions itself as an AI-powered alternative to slow, manual penetration testing. Traditional engagements take four to six weeks and cost five figures, which means most teams can only run them twice a year — leaving long gaps while AI-assisted development pushes new endpoints into production daily. ZeroThreat instead runs continuous, attacker-style testing across web apps and APIs with near-zero setup, claiming 130K+ attack patterns per scan and a 99.9% detection accuracy rate.
The platform goes beyond classic CVE matching to test how an application actually behaves. It exercises authenticated login flows, access controls and business logic to expose BOLA, IDOR and privilege-escalation weaknesses that signature-based scanners often miss, and it handles complex single-page applications using Playwright-based scanning. For API estates, it covers REST, GraphQL, SOAP and gRPC interfaces, discovers shadow APIs and detects API-specific attack patterns.
Operationally, ZeroThreat is built for production use: scans are designed to avoid disrupting live applications, reports are audit-ready for security and compliance teams, and results map to frameworks such as OWASP, CWE/SANS, GDPR, ISO 27001, PCI-DSS and HIPAA. Deployments can be cloud-based with region-based data storage, or on-premise for full data sovereignty. Pricing starts free — the entry plan includes one scan credit per month for a single target — while Professional plans offer unlimited scans from around $100 per target per month, and pay-per-scan credits start at $125 for five.
