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AI API regression-testing solution for streamlined QA and faster releases.
Local deep packet inspection and network intelligence giving businesses full visibility into application, VPN and Tor traffic.
AI prototyping tool that generates UI matching your design system, letting product teams test features fast.
AI QA agent that writes and runs API, UI, and OWASP security tests automatically on every pull request.
AI web-app and API vulnerability scanner with real traffic; solid security tool.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦AI-Powered Test Case Generation
- ✦Automated API Regression Testing
- ✦Collaborative Bug Tracking
- ✦Integrations with Project Management and CI/CD Tools
- ✦Effortless API Documentation
- ✦Unified Platform for Different Testing Phases
- ✦Local deep packet inspection agent
- ✦Application identification data feeds
- ✦VPN and Tor IP datasets
- ✦Network informatics and analytics
- ✦Developer documentation
- ✦AI UI generation from prompts
- ✦Match existing styling and design systems
- ✦Rapid, high-fidelity prototyping
- ✦Live team editing and sharing
- ✦Enterprise security and compliance
- ✦AI-generated and self-maintaining test scenarios
- ✦API and UI test runs on every pull request
- ✦OWASP-aligned security probes
- ✦Import from OpenAPI, Postman, and spreadsheets
- ✦Shared, versioned scenario library
- ✦Velocity analytics on review time and coverage
- ✦CI/CD, Slack, Jira, and Cursor integrations
- ✦DAST for Web Apps and APIs
- ✦Automated Penetration Testing
- ✦AI-Driven Remediation Reports
- ✦Compliance-Ready Security
- ✦Sensitive Data Exposure Detection
- ✦Real-Time Vulnerability Detection
- →AI-Powered Test Case Generation: Devzery’s AI engine analyzes your PRD or project details to generate API test cases.
- →Test Suite & HTTP Coverage Metrics: Track test coverage and HTTP distribution metrics to ensure all critical aspects of your APIs are covered.
- →Precise Bug Tracking with AI: Automatically generate detailed bug reports with status, related test cases, expected vs. actual results, and error descriptions.
- →Classify application traffic on a network
- →Detect VPN and Tor usage
- →Feed DPI data into security and analytics tools
- →Prototype new product features
- →Test designs with customers
- →Build design-system-consistent mockups
- →Automating regression testing for API changes
- →Catching security issues before merge
- →Replacing spreadsheet-based test tracking
- →Continuous QA for fast-shipping engineering teams
- →Identifying vulnerabilities in web applications and APIs
- →Automating penetration testing processes
- →Generating AI-powered remediation reports
- →Ensuring compliance with security standards
- →Detecting sensitive data exposure
- →Securing SaaS growth
- →Simplifying client security for MSSPs
- →Meeting compliance standards for regulated industries