Best AI Code Security Tools in 2026: 9 Tools Compared

A
By the Ainotely Editorial Team.
Updated October 2026. 10 min read. Prices and features researched from each vendor's official pages and app store listings at time of writing.
Best AI Code Security Tools
Quick picks
  1. 1Snyk logo
    Snyksmall teams that want broad coverage on a free plan
    Visit
  2. 2GitHub Code Security logo
    GitHub Code Securityteams whose code and reviews already live on GitHub
    Visit
  3. 3Semgrep logo
    Semgrepengineers who want custom rules and fewer false alerts
    Visit
  4. 4Aikido logo
    Aikidosmall teams that want one dashboard for many scan types
    Visit
  5. 5SonarQube logo
    SonarQubeteams that want code quality and security checks together
    Visit
Short version:
In this guide Quick comparisonThe best AI code security toolsHow we picked theseBuying guide: what to check before you commitFrequently asked questionsSources

Quick comparison

ProductIdeal forPrice fromFree version
Snyksmall teams that want broad coverage on a free planFreeYesVisit
GitHub Code Securityteams whose code and reviews already live on GitHub$30 per active committer per monthYes (public repos)Visit
Semgrepengineers who want custom rules and fewer false alertsFreeYesVisit
Aikidosmall teams that want one dashboard for many scan typesFreeYesVisit
SonarQubeteams that want code quality and security checks togetherFreeYesVisit
Checkmarx Onelarge organizations with a formal application security programSee websiteNoVisit
Veracoderegulated companies that want an established AppSec vendorSee websiteNoVisit
Endor Labsteams drowning in dependency alertsSee websiteFree trialVisit
Corgeasmall teams that want AI-first scanning with automatic fixesFreeYesVisit

The best AI code security tools

These platforms scan source code, dependencies and secrets, and most now use AI to explain findings or propose a fix. We listed nine, from developer-friendly free tiers to enterprise suites.

Snyk logo
#1

Snyk

Ideal for: small teams that want broad coverage on a free plan

Snyk website
snyk.io homepage

Snyk is our pick for most people starting out. The plans page lists a free tier with SAST, open source, infrastructure-as-code and container scanning, limited to 5 projects and 100 Snyk Code tests a month. The Team plan starts at $25 per month for up to 10 developers and raises the Code limit to 1,000 tests a month.

Snyk Code is the AI-powered static analysis product. Its product page says Snyk Agent Fix proposes fixes you can apply in one click and calls them "80%-accurate," which is the vendor's own number. Enterprise buyers pay on credits at $1 each, with Snyk Code costing 1.0 credit per active contributor per day. Run it on a real repository before you rely on the fix suggestions.

The good and the bad
  • Free plan covers code, dependencies, infrastructure code and containers
  • Scans in the IDE, CLI and pull requests
  • AI-suggested fixes
  • Free plan caps tests each month
  • Enterprise pricing is credit-based and needs a quote
GitHub Code Security logo
#2

GitHub Code Security

Ideal for: teams whose code and reviews already live on GitHub

GitHub Code Security website
github.com homepage

GitHub sells Code Security at $30 per active committer per month and Secret Protection at $19. Code Security includes code scanning with the CodeQL CLI, Copilot Autofix, dependency review and a security overview. Secret Protection covers secret scanning and push protection.

GitHub's docs say some features, including code scanning and secret scanning, are enabled for public repositories by default, so open source projects can start without paying. For private or internal repositories you need to buy the product on top of a GitHub Team or Enterprise plan. The advantage is fit: alerts show up where developers already review code. The drawback is that it works best if you stay on GitHub, so GitLab or Bitbucket shops get less from it.

The good and the bad
  • Code scanning and Copilot Autofix inside pull requests
  • No separate tool to install
  • Secret scanning sold separately
  • Private repositories need a paid add-on
  • Billing counts active committers
Semgrep logo
#3

Semgrep

Ideal for: engineers who want custom rules and fewer false alerts

Semgrep website
semgrep.dev homepage

Semgrep gives small teams a generous start. The free edition covers up to 10 contributors and 10 private repositories, includes SAST and software composition analysis, and comes with 60 AI credits. The Teams plan starts at $30 per contributor per month for Code and again for Supply Chain, with Secrets at $15.

The pricing page lists AI-powered detection, auto-triage, remediation guidance and autofix across all three tiers. Teams adds SSO and up to 500 private repositories. The catch is cost as you grow: running Code, Supply Chain and Secrets for the same developer adds up to $75 per month, so price your full stack, not one product.

The good and the bad
  • Free edition for up to 10 contributors
  • AI triage and autofix on every tier
  • Separate Code, Supply Chain and Secrets products
  • Free edition limits repositories and uses GitHub or GitLab sign-in only
  • Products are priced separately
Aikido logo
#4

Aikido

Ideal for: small teams that want one dashboard for many scan types

Aikido website
aikido.dev homepage

Aikido bundles code, cloud and runtime checks into one product. Its free Developer plan allows 2 users, 10 repositories and 10 AI autofixes a month, and rescans every 3 days. It includes SCA with reachability, SAST with AI-based false-positive reduction, secrets detection and infrastructure-as-code scanning.

Paid plans add pull request security reviews, integrations with Jira and Linear, compliance tools and higher limits. The pricing page lists paid tiers by monthly figures without a currency symbol, and we found third-party sources that disagree on amounts, so check the current price on the site. Aikido also offers a discount of up to 30% for qualifying startups.

The good and the bad
  • Free Developer plan with SAST, dependency, secrets and infrastructure scanning
  • AI autofix
  • DAST and cloud checks on one platform
  • Free plan limited to 2 users and 10 repositories
  • Paid prices not confirmed by us
SonarQube logo
#5

SonarQube

Ideal for: teams that want code quality and security checks together

SonarQube website
sonarsource.com homepage

SonarQube comes from the code quality world, which makes it a good fit if you want bug and maintainability checks next to security findings. SonarQube Cloud has a free plan for private projects up to 50k lines of code, and the Team plan starts at $34 per month for up to 100k lines.

The plans page describes Advanced Security as adding SAST and SCA, and says the Enterprise plan includes a Remediation Agent for fixing issues at scale. How SCA is packaged across tiers is not entirely clear on the page, so ask before you buy. SonarQube Server is priced per instance by lines of code, and also has a Community Build for open source use.

The good and the bad
  • Free cloud tier for private projects up to 50,000 lines of code
  • Long-standing code quality rules
  • Team plan starts at $34 per month
  • Server pricing depends on lines of code and needs a quote
  • Security features sit under Advanced Security
Checkmarx One logo
#6

Checkmarx One

Ideal for: large organizations with a formal application security program

Checkmarx One website
checkmarx.com homepage

Checkmarx One is a full platform. Its homepage lists a hybrid SAST engine, secrets detection, infrastructure-as-code and API security, supply chain tools, DAST, and application security posture management. AI features include Developer Assist in the IDE, Triage Assist for prioritization, and Remediation Assist for proposed fixes. It also lists an MCP server for agent access and scanning for AI components.

What we could not find is a price. The page links to a pricing and packages page, but gives no figures, and it offers a demo rather than a free trial. That makes Checkmarx a poor match for a three-person startup and a reasonable one for a security team that wants a single vendor.

The good and the bad
  • Wide coverage across SAST, SCA, DAST, IaC, secrets and API security
  • AI assistants for IDE prevention, triage and remediation
  • Governance and ASPM reporting
  • No public pricing
  • The site points to a demo instead of a trial
Veracode logo
#7

Veracode

Ideal for: regulated companies that want an established AppSec vendor

Veracode website
veracode.com homepage

Veracode is a long-running name in application security, and its product list covers SAST, DAST, SCA, a package firewall, container security and penetration testing as a service. Veracode Fix is its AI remediation product for both first-party code and open source dependencies, delivering fix guidance and pull requests in the IDE, CLI and CI/CD pipeline.

The Veracode Fix page says it has quality gates and does not retain customer code, a detail worth asking about for any AI fix tool. Like Checkmarx, the homepage offers a demo and a guided tour instead of prices, so budget for a sales conversation.

The good and the bad
  • SAST, DAST and SCA from one vendor
  • Veracode Fix for AI remediation
  • Supply chain and container tools
  • No public pricing
  • The site offers a demo, not a free trial
Endor Labs logo
#8

Endor Labs

Ideal for: teams drowning in dependency alerts

Endor Labs website
endorlabs.com homepage

Endor Labs focuses on noise. Its homepage says reachability analysis limits findings to vulnerabilities your code can reach, and it claims its AI SAST cuts false positives by up to 95%, which is the vendor's claim. The platform also covers secrets, container scanning, a package firewall that blocks malicious packages at install time, and AI code review agents.

A newer feature inventories coding agents, models and MCP servers and checks agent actions against policy, which matters if your developers use AI assistants heavily. The site offers a free trial and a demo, plus a "free forever" developer tools option for fixes, secret detection and malicious dependency blocking in AI coding workflows. Pricing is not published.

The good and the bad
  • Reachability analysis keeps only vulnerabilities your code can actually reach
  • AI SAST and secrets detection
  • Governance for AI coding agents
  • No published pricing
  • Headline claims on false positives come from the vendor
Corgea logo
#9

Corgea

Ideal for: small teams that want AI-first scanning with automatic fixes

Corgea website
corgea.com homepage

Corgea is a younger, AI-first scanner. Its free plan is for individual developers (2 maximum, 10 repositories) and includes AI SAST with logic and auth scanning, dependency, secrets, container and infrastructure scans. Growth costs $39 per developer per month with a 5-developer minimum, and Scale costs $49 per developer per month with a 20-developer minimum.

The pricing page offers a 14-day Growth trial with no credit card. The limits are worth reading: SAST auto-fixes are capped by plan, and the table does not label them clearly. Corgea suits teams that want AI to do more of the triage, so run the free trial on a real codebase and count how many of its fixes you would merge.

The good and the bad
  • Free plan includes AI SAST with logic and authorization scanning
  • 14-day trial of the Growth plan
  • Clear per-developer pricing
  • Free plan is for up to 2 developers
  • Growth requires at least 5 developers

How we picked these

We did not run our own benchmark scans. We compared each vendor's official pricing page, product pages and documentation, and we checked what a team can use for free. We favored tools that scan source code and dependencies, offer AI-assisted explanations or fixes, and have clear plans. We included both free-tier tools and enterprise platforms so readers of any size have an option. Prices are in US dollars from pages we read on 24 October 2026 and may change.

Buying guide: what to check before you commit

Where the scan runs

A scanner that works in the IDE and in pull requests catches problems before they merge. Snyk, Semgrep, Veracode and Checkmarx all describe IDE or pull request workflows. Ask whether the scan needs a full build, because that slows feedback.

Reachability and false positives

Alert fatigue is the main reason teams abandon scanners. Endor Labs and Aikido both advertise reachability analysis, which filters out dependency flaws your code never calls. Test two tools on the same repository and compare how many findings you would actually fix.

Pricing model

Prices come in several shapes: per contributor (Semgrep, Corgea, GitHub), per team bundle (Snyk Team), lines of code (SonarQube) and credits (Snyk Enterprise). A tool that looks cheap per seat can cost more once you add products. Count your active developers, not your total headcount.

AI fixes still need review

Treat an AI-suggested patch like code from a new teammate. Read it, run your tests and watch for fixes that change behavior. If your code is sensitive, ask where it is processed and whether the vendor retains it.

Securing AI-written code

Code from AI assistants goes through the same pipeline as human code. Scan it in pull requests, keep secrets out of prompts, and review dependencies that an assistant adds, since packages can be malicious or outdated.

Frequently asked questions

What is the best AI code security platform?

For most small teams we would try Snyk first because of its free plan and wide coverage. GitHub Code Security fits teams fully on GitHub, and Checkmarx One or Veracode fit large security programs. The right pick depends on team size, languages and budget.

Are there free AI code security tools?

Yes. Snyk, Semgrep, Aikido, SonarQube Cloud and Corgea all list free tiers with limits on users, repositories or lines of code. GitHub also enables code scanning on public repositories by default.

Do AI tools replace a security review?

No. They catch common flaws early and speed up triage, but they miss business logic problems and produce false positives. Use them alongside code review and, for important systems, a human security assessment.

What is the difference between SAST and SCA?

SAST analyzes your own source code for flaws such as injection or unsafe handling of input. SCA checks the open source libraries you depend on for known vulnerabilities and license risks. Most platforms here offer both.

How accurate are AI-generated fixes?

Vendors quote high accuracy (Snyk says 80%), but those are marketing numbers measured on the vendor's own data. Review every patch and run your test suite before merging.

Sources

  1. https://snyk.io/plans/
  2. https://snyk.io/product/snyk-code/
  3. https://github.com/security/advanced-security
  4. https://docs.github.com/en/get-started/learning-about-github/about-github-advanced-security
  5. https://semgrep.dev/pricing
  6. https://www.aikido.dev/pricing
  7. https://www.aikido.dev/
  8. https://www.sonarsource.com/plans-and-pricing/
  9. https://checkmarx.com/
  10. https://www.veracode.com/
  11. https://www.veracode.com/products/veracode-fix/
  12. https://www.endorlabs.com/
  13. https://corgea.com/pricing