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Autonomous offensive and defensive security platform
CodeAnt AI attacks your systems the way a real adversary would, then it walks back into your code and helps you build the defenses exactly where the attack got through. Continuous attack. Continuous defense. One self-learning platform. Trigger a free pentest No engagement fee. Pay only if we find high or critical issues; low and medium issues are free.
CodeAnt AI offers an AI-powered platform that combines code review, SAST, and agentic penetration testing to detect and fix vulnerabilities from code to attack surface. It positions itself as both defensive and offensive security, aiming to reveal what attackers would see before exploitation.
The platform provides AI-assisted code review and security analysis (SAST, SCA, IaC, SBOM, Secrets) integrated into IDEs and CI workflows, with inline fixes and AI learnings. It also delivers offensive security via AI-driven penetration testing, including passive reconnaissance, attack surface mapping across codebase and network, and 48-hour reports. The product spans the entire security lifecycle from code to attack surface, offering live attack surface monitoring and validated findings with priority classifications and audit-ready reporting.
Who it’s for: Organizations seeking comprehensive secure development that blends defensive code review with offensive security, spanning startups to Fortune 500s.
Customers: Trusted by Startups to Fortune 500
Series B fundraising mentioned ($75M+ raised) and notable customer endorsements; multiple product features and pricing pages indicate active go-to-market and traction.
Amartya Jha, Co-Founder and CEO, CodeAnt AI, ships zero-days for fun. CVE-2026-29000, CVSS 10.0, full auth bypass in pac4j-jwt. CVE-2026-28292, CVSS 9.8, RCE in simple-git. Two of 87 zero-days he dropped across packages downloaded 1.85 billion times a month. Now, building offensive and defensive security in one self-learning system at CodeAnt AI.
Chinmay Bharti, Co-Founder and CTO, CodeAnt AI, architected the engine behind the 100+ CVEs CodeAnt AI disclosed. Previously worked in HFTs. IIT Bombay, Electrical Engineering. Now building offensive and defensive security in one self-learning system at CodeAnt AI.
Helping engineering teams cut code review time and bugs by over 50%.
CodeAnt AI connects to GitHub, GitLab, Bitbucket, and Azure DevOps to build AST-based analyses of a codebase, automatically reviews PRs for quality, security, and best practices, and offers one-click fixes and IDE integrations. It targets engineering teams aiming to reduce code review time and bugs by presenting flagged lines and allowing custom rules within pull requests.
From the original launch (Jan 2024) — may be outdated.
Red teaming for AI agents
Continuous offensive security for the enterprise.
