AI Code Security

Code Security

Build for the AI Era

SAST. Secrets. IaC. SCA. SBOM. CSPM. One platform that never blinks.

Trusted by Startups to Fortune 500

Features

Building Blocks For Secure Development

SAST

Find security issues before code ships

IaC
Cloud Misconfig
SCA
Secrets
EPSS
Security Dashboard
SBOM
Security Gating
SAST
Attack Path
Cloud Misconfig
SCA
Secrets
EPSS
IaC
SBOM

Detect common and critical security flaws early.

Issues are caught during review, not after release.

How CodeAnt Leaves Legacy SAST Behind

With Legacy Tools
With Legacy Tools
With CodeAnt AI
With CodeAnt AI

Lacks context awareness

Lacks context awareness

Learns from every Pull Request & repo

Learns from every Pull Request & repo

70–80% false positives

70–80% false positives

Less than 5% false positives

Less than 5% false positives

30–60 min runtime

30–60 min runtime

< 60 seconds per Pull Request

< 60 seconds per Pull Request

Limited to SAST only

Limited to SAST only

SAST + SCA + IaC + Secrets + SBOM

SAST + SCA + IaC + Secrets + SBOM

Customer Love

Trusted by Startups to Fortune 500

$8B+ Market Cap

"CodeAnt AI transformed our code reviews, reducing cycle time and helping us quickly fix quality and security issues."

Bhavyan Mehta

Vice President, Engineering

$8B+ Market Cap

"CodeAnt AI transformed our code reviews, reducing cycle time and helping us quickly fix quality and security issues."

Bhavyan Mehta

Vice President, Engineering

Series C, $90M+ Raised

"We review over a 1000 Pull requests / month, which once took hours to validate now close in minutes."

Andre Woons

Co-Founder & CTO

$350M+ Valued

"We cut review time from hours to seconds, identified critical vulnerabilities early, and achieved continuous delivery velocity."

Mrinal Kamboj

VP of Engineering

Why Best Teams Love CodeAnt AI

Enterprise-grade security

CodeAnt AI is HIPAA compliant
SOC 2 Type II certified — CodeAnt AI is independently audited and compliant with SOC 2 Type II security standards

No code storage

Zero data retention

5M+ PRs/month

Handles effortlessly

1 Billion+

Lines of Code Scanned

Why Best Teams Love CodeAnt AI

Enterprise-grade security

CodeAnt AI is HIPAA compliant
SOC 2 Type II certified — CodeAnt AI is independently audited and compliant with SOC 2 Type II security standards

No code storage

Zero data retention

5M+ PRs/month

Handles effortlessly

1 Billion+

Lines of Code Scanned

Git Integrations
CodeAnt AI and Bitbucket integration
Codeant AI and Gitlab integration
CodeAnt AI and Azure Devops integration
CodeAnt AI and Github integration

Why Best Teams Love CodeAnt AI

Enterprise-grade security

CodeAnt AI is HIPAA compliant
SOC 2 Type II certified — CodeAnt AI is independently audited and compliant with SOC 2 Type II security standards

No code storage

Zero data retention

5M+ PRs/month

Handles effortlessly

1 Billion+

Lines of Code Scanned

Integration

Works with your entire stack

Git
IDE
CLI

Fix Security Issues in the IDE

Inline security alerts as you type

One-click fix suggestions

Works in VS Code, Cursor, IntelliJ

CodeAnt AI inline code review comment shown directly on a specific line inside a GitHub pull request diff view. The comment is pinned to a highlighted line of Python code and explains a detected security issue — a PII data leak where a decoded email address is being logged in plaintext using Python's logging module. The inline comment includes a severity badge labeled "Critical", a clear explanation of why the practice is dangerous (log files may be accessible to unauthorized parties), and a suggested fix showing a masked version of the email. A "Apply fix" button sits below the suggestion for one-click remediation. The surrounding diff context shows red-highlighted removed lines and green-highlighted added lines, making the issue location immediately clear to reviewers.
Git
IDE
CLI

Fix Security Issues in the IDE

Inline security alerts as you type

One-click fix suggestions

Works in VS Code, Cursor, IntelliJ

CodeAnt AI inline code review comment shown directly on a specific line inside a GitHub pull request diff view. The comment is pinned to a highlighted line of Python code and explains a detected security issue — a PII data leak where a decoded email address is being logged in plaintext using Python's logging module. The inline comment includes a severity badge labeled "Critical", a clear explanation of why the practice is dangerous (log files may be accessible to unauthorized parties), and a suggested fix showing a masked version of the email. A "Apply fix" button sits below the suggestion for one-click remediation. The surrounding diff context shows red-highlighted removed lines and green-highlighted added lines, making the issue location immediately clear to reviewers.

FAQs

Why do traditional SAST tools produce so many false positives, and how does AI-powered code security fix that?

What is the difference between SAST, SCA, IaC security, and secrets scanning, and do I need all of them?

How can engineering teams enforce security standards in CI/CD pipelines without slowing down development velocity?

How does CodeAnt AI handle secrets detection, and is it more effective than what's built into GitHub?

Can an AI code security platform help with SOC 2, HIPAA, and other compliance requirements?