CodeAnt AI

CodeAnt AI is a platform for AI code review, code security scanning, and agentic penetration testing. Find vulnerabilities earlier and assess apps from an attacker’s perspective.

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Unified code review and security platform

CodeAnt AI is a defensive and offensive security platform that combines AI code review, code security scanning, and agentic penetration testing in one product. The site positions it for teams that want to catch issues in code review and then assess the same application from an attacker’s point of view before release.

The platform’s code review workflow focuses on pull requests, inline fixes, PR summaries, quality gates, and IDE-assisted remediation. Its security side extends into SAST, SCA, secrets, IaC, SBOM, and AI pentesting with black box, white box, and gray box testing, passive reconnaissance, and a 48-hour report path on the pentest page.

Core capabilities

AI code review with full context

Reviews pull requests with full codebase context, inline comments, AI learnings, pull request summaries, quality gates, and steps to reproduce, so findings are tied to the broader codebase rather than isolated diffs.

IDE and CLI workflow support

Surfaces security issues in the editor and supports one-click fixes in IDE workflows such as VS Code, Cursor, and IntelliJ, reducing the need to switch tools during review.

Code security scanning

Covers SAST, SCA, secrets, IaC, and SBOM scanning in one code security platform, giving teams a broader static security view beyond pull request review alone.

Agentic penetration testing

Runs AI penetration testing in black box, white box, and gray box modes using 500+ exploit agents, with passive recon and attack-chain analysis to build evidence for findings.

Passive reconnaissance and attack surface mapping

Maps exposed attack surface details such as subdomains, open ports, exposed configs, and known CVEs before active testing begins, helping frame the pentest from an external attacker’s perspective.

Developer workflow integrations

Connects with common delivery and communication tools shown on the site, including GitHub, GitLab, Bitbucket, Azure DevOps, Jira, and Slack.

Practical use cases

Review pull requests before they merge
Engineering teams can use the pull request review flow to catch issues before merge, get inline feedback, and apply one-click fixes directly in the editor.
Centralize code security scanning
Security and platform teams can run broader code scanning for SAST, SCA, secrets, IaC, and SBOM checks to keep build-time security findings in one place.
Assess applications with an AI pentest
Teams preparing for a release or assessment can run AI pentesting to map attack surface, explore exploit chains, and receive a report within the published 48-hour window.
Shift remediation into the IDE
Developers working in the editor can use IDE and CLI support to see security issues earlier in the workflow instead of waiting for review comments alone.
Fit into existing delivery workflows
Organizations with mixed tools can connect repository, issue-tracking, and collaboration workflows through the integrations shown on the site, including GitHub, GitLab, Bitbucket, Azure DevOps, Jira, and Slack.

Pros and Cons

Pros

Combines code review, code security scanning, and pentesting in one platform.
Supports pull request review with full codebase context and inline remediation.
Shows both IDE workflows and repository-based workflows, which can fit developer-led teams.
Offers multiple pentesting modes, including black box, white box, and gray box testing.
Provides a published free-trial path and a contact-sales enterprise option.

Cons

Some integration details are only mentioned at a high level on the site, so setup depth and exact support boundaries are not fully described in the source text.
The pricing page shows multiple product paths and an enterprise sales motion, but not every plan limit or packaging detail is visible in the provided content.

FAQ

What does CodeAnt AI do?

The site presents CodeAnt AI as a platform for AI code review, code security scanning, and AI penetration testing. It is aimed at teams that want security checks in the development workflow and a separate pentest report for applications.

Is there a free trial or free scan?

The pricing page shows a 14-day free trial with no credit card required for the defensive product path, and a separate free pentest flow is promoted on the site. The enterprise plan is handled through contact sales.

What integrations are mentioned on the site?

The site lists IDE and CLI support, plus GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Slack, VS Code, Cursor, Windsurf, and IntelliJ across the product pages.

How is CodeAnt AI priced?

The pricing page includes a Premium plan at $24 per user per month and an Enterprise plan with contact sales. The site also mentions an open source discount and startup discount.

How does the workflow differ between code review and pentesting?

The source text says code review features focus on pull requests, inline review, quality gates, AI learnings, and one-click fixes in the IDE, while pentesting produces a report in 48 hours.

Quick Facts

Category: Developer Tool
Product type: AI code review and security platform
Primary workflows: Pull request review, code scanning, and AI penetration testing
Deployment/workflow: Web platform with IDE and CLI support
Pricing signal: 14-day free trial; Premium plan and Enterprise plan on pricing page
Website: codeant.ai