CodeAnt AI

CodeAnt AI is an exploit-based agentic security platform designed to reason across code, infrastructure, and runtime environments. It uses autonomous AI agents to map attack surfaces, chain real exploits, and prove what is actually exploitable. The platform combines static analysis, dynamic testing, cloud security, and agentic penetration testing into a single workflow.

• Agentic pentesting with autonomous agents mapping attack surfaces and chaining real exploits
• Cloud threat detection to catch suspicious activity and live threats in the cloud
• Dynamic Application Security Testing (DAST) of running apps and APIs, including behind logins
• Cloud Security Posture Management (CSPM) mapping misconfigurations and risks to real attack paths
• Third-party package scanning covering known CVEs, SBOM reports, and risky dependencies
• Static Application Security Testing (SAST) for secrets, infrastructure as code, and risks before merge
• Attack surface analysis covering repositories, IaC, dependencies, secrets, endpoints, cloud configs, and commit history into one graph

Pros

• Combines both defensive static checks and offensive exploit simulation in a single workflow
• Performs dynamic testing on applications and APIs even when they are behind a login
• Provides automated exploit-based verification to show which vulnerabilities are actually exploitable

Cons

• Specific dollar amounts for paid tiers are not published on the pricing page
• High and critical security findings require payment to unlock after initial scans
• Requires evaluation of how autonomous agents interact with internal code and infrastructure repositories

This platform fits development and security teams looking to combine defensive code scanning with autonomous penetration testing and exploit verification. It is a poor fit for organizations that cannot grant external tools visibility into their codebases, infrastructure configurations, and runtime environments.

The listing and website note a freemium model alongside a 14-day free trial. The free tier includes low and medium security findings with one full AI pentest scan, while high and critical findings require payment to unlock. Additional options include startup discounts and a free tier for open source projects, though exact dollar figures are not listed.

Unlike traditional security tools that focus purely on static code analysis or isolated vulnerability scanners, CodeAnt AI deploys autonomous agents to chain real exploits across the entire stack from code to runtime. It merges static analysis, cloud security, and offensive penetration testing into a unified graph to prove what vulnerabilities are truly exploitable.

CodeAnt AI is worth trying for engineering teams seeking to consolidate static analysis, cloud security, and autonomous penetration testing into a unified workflow. The freemium model and free pentest scan allow teams to test low and medium findings without commitment, though high and critical findings require payment. Since exact subscription prices are not published, buyers must contact sales or review enterprise options for large teams.