AI Code Review and Security Platform

Founded in 2018 and headquartered in San Francisco, this code review platform achieved an F1 score of 84.51 percent on the OpenSSF CVE Benchmark, which evaluates detection accuracy against 200-plus real-world vulnerabilities in JavaScript and TypeScript projects. This score outperforms Cursor BugBot at 80.45 percent, Devin Review at 78.08 percent, OpenAI Codex at 77.70 percent, Claude Code at 62.40 percent, and Semgrep at 36.70 percent. The engine combines 5,000-plus deterministic static analysis rules with an AI review agent that posts inline comments on every pull request across GitHub, GitLab, Bitbucket, and Azure DevOps. Concrete detection examples include flagging itertools.groupby calls without prior sorting that cause incorrect payment settlement batches, identifying subprocess.run with shell=True that exposes invoice generation to command injection, and catching timing-attack-vulnerable API key comparisons using direct equality operators instead of constant-time functions like secrets.compare_digest. The Autofix system generates verified, pre-tested patches for most detected issues. Each pull request receives a structured report card scoring five dimensions: Security, Reliability, Complexity, Hygiene, and Coverage, with actionable guidance such as recommending transaction wrapping to prevent inconsistent states. Additional modules include secrets detection across 165-plus cloud providers, dependency vulnerability scanning with reachability and taint analysis, code coverage enforcement, compliance reporting mapped to OWASP Top 10 and SANS Top 25, Terraform misconfiguration scanning, and license compliance checking. SOC 2 Type II certified and GDPR compliant.