CodeAnt AI

CodeAnt AI

AI-powered security platform combining automated pentesting, code review and cloud vulnerability scanning to find and fix exploitable issues before attackers do.

🔗 Visit CodeAnt AI
📁 Security & Privacy🗣️ English

Description

Most companies find out about a security hole in their software either from a hacker or from an expensive human penetration-testing firm they hire once a year. CodeAnt AI tries to close that gap by running an AI "attacker" continuously against your own code and cloud setup, mapping out what could actually be broken into and suggesting the fix, instead of waiting for an annual audit.

CodeAnt AI is an AI-powered application security platform combining agentic pentesting (autonomous attack-surface mapping and exploit attempts), AI code review of pull requests, cloud threat detection, Static and Dynamic Application Security Testing (SAST/DAST), Cloud Security Posture Management (CSPM), and third-party package vulnerability scanning, with IDE and CLI integration. It's aimed at startups through large enterprises running offensive security testing alongside day-to-day code review. Pricing includes a 14-day free trial with 100 PR reviews, a Premium tier at $24/user/month for unlimited PR reviews, and custom Enterprise pricing; open-source projects get a free tier. The company, founded by Amartya Jha and Chinmay Bharti (credited with 100+ CVE discoveries), is valued at $60M with 300+ customers as of 2026.

💬 Our review

The short version: CodeAnt AI is less a code-review tool and more a continuous, AI-driven penetration test running against your own codebase and cloud infrastructure — genuinely different from tools like Qodo or Graphite that focus on code quality rather than exploitability.

The "agentic pentesting" angle is the real differentiator: rather than static rule-based scanning (SAST/DAST alone), it actively maps attack surface and attempts exploitation the way a human red-teamer would, continuously instead of once a year. Bundling that with CSPM and package vulnerability scanning means a security team gets code-level, cloud-level and dependency-level coverage from one vendor instead of three. The honest trade-off: this is a young company (founded recently, no long public track record, no public GitHub presence to independently verify claims) in a category where false positives and false negatives both carry real cost, and $24/user/month for the Premium tier is a real line item for a mid-size engineering org. For companies wanting continuous, automated offensive security testing without hiring a full-time red team, CodeAnt AI addresses a genuine gap; teams that only need PR-quality code review (not exploit-level pentesting) may be overpaying relative to a dedicated code-review tool like Qodo.

💰 Pricing

Freemium14-day free trial: 100 PR reviews. Premium: $24/user/month for unlimited PR reviews. Enterprise: custom pricing. Free tier available for open-source projects.
Free Trial 0Premium 24Enterprise

📊 Global score

53Average
🌐Availability15/100Faible

1 language · 0 platform

📄Profile90/100Excellent

Profile completeness

🤖 AI-enriched data

💰 Pricing model
🆓 Freemium

14-day free trial: 100 PR reviews. Premium: $24/user/month, unlimited PR reviews. Enterprise: custom pricing. Free for open-source projects.

👥 Target audienceSecurity engineers | Engineering teams at startups through Fortune 100
🗣️ Languagesen
🌍 Target countriesWorldwide
👍

Pros

Agentic pentesting actively attempts exploitation, not just static scanning

Combines code, cloud and dependency vulnerability coverage in one platform

Founders credited with 100+ CVE discoveries

👎

Cons

Young company with no public GitHub presence to independently verify claims

$24/user/month adds up for larger engineering teams

❓ Frequently asked questions

How is CodeAnt AI different from a standard AI code review tool?
Does it cover cloud infrastructure, not just application code?
Is CodeAnt AI open source?
Is it worth the money compared to alternatives?
Which security tool should you pick for your case?