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Scans codebases for launch readiness, identifying security issues, SEO problems, and common errors before deployment. It prevents embarrassing production releases by catching potential problems.

Scans and monitors AI-built applications for security, performance, and code quality.

Scans AI-generated code for security flaws and provides one-click fixes for personal repositories.

Scans AI-generated code for secrets, CVEs, and vulnerabilities, and automatically applies fixes via pull requests.

Tests AI-coded applications for vulnerabilities in access control across numerous categories. It maps app components and runs tests to identify and provide verified fixes.

Identifies security and data risks in AI-built apps before launch. It checks for vulnerabilities like authorization issues, data boundaries, and exposed secrets.

Scans AI-generated applications for exposed API keys, missing database security policies, and unprotected routes via GitHub repository URLs.

Offers an AI security scanner for apps built with Bolt, Cursor, and Lovable. It finds vulnerabilities early, aiming to secure AI-generated code.| Scanning efforts provide results in 30-60 minutes, and plans start from…

Scans AI-built applications to provide a safety grade, alongside backup and monitoring tools.

Performs automated security checks on application repositories built with various AI platforms, providing plain-English findings and copy-paste fixes.

Analyzes codebases for bugs and security vulnerabilities, generates validated patches, and opens pull requests.

Scans code, cloud environments, and AI agents to identify risks, apply fixes, and verify security.

Scans codebases for bugs, security threats, and data flows to generate verifiable audit reports for founders.

Secures AI- and human-generated code by guiding AI coding agents, uncovering vulnerabilities, and delivering verified fixes.

Scans TypeScript and JavaScript codebases for HIPAA compliance issues, detecting PHI exposure, encryption gaps, and access control violations.

Scans codebases to find exploitable security vulnerabilities and provides exact fix prompts.

Scans Supabase repositories and live bundles for security exposures, providing exact line references and SQL fixes.

Scans AI-built applications for missing authentication flows, rate limits, deployment risks, and launch blockers.

Audits AI-generated websites and applications with a numerical score, six-dimension breakdown, and prioritized fixes.

Performs AI code reviews, security checks, and release readiness testing for GitHub, GitLab, and Bitbucket.

Autonomous AI security platform that scans applications and repositories to find vulnerabilities, prove them with exploits, and provide fixes for developers and security teams.

Performs deep scans of codebases to find bugs, security vulnerabilities, and data loss issues. It fixes defects and prioritizes findings for users to address.