Acunetix

Automatically identify web applications, APIs, and shadow assets including hidden and undocumented endpoints to maintain an up-to-date inventory.

Utilizes machine learning models to predict risk levels across applications before scanning, enabling prioritization of security efforts.

Detects over 7,000 vulnerabilities including OWASP Top 10, API-specific issues, and business logic flaws with proof-based validation to eliminate false positives.

Supports complex authentication scenarios, role-based flows, and tests REST, GraphQL, and SOAP APIs with full context across requests.

Integrates with CI/CD pipelines, issue trackers, WAFs, and security tools to automate workflows and deliver validated findings directly to development teams.

Provides developers with clear, proof-backed fix recommendations to reduce remediation time and improve security outcomes.

Enables ongoing, automated scanning and retesting of fixes to maintain security posture without disrupting development workflows.

Maps vulnerabilities directly to source code correlating DAST findings with SAST and other security signals for deeper insight and faster resolution.