DevSecOps Application Security Platforms in AI answers

Data as of Oct 22, 2026Based on 188 AI responsesReviewed by

How we measure

AI summary

holds a narrow lead over as the most cited platform for securing code and dependencies. For legal teams auditing open-source license compliance across dependency trees, is the usual answer.

What’s changing · since July

Since July, rising has expanded its presence across the market while rising has moved among the three most named for developer-friendly static analysis. Over the same period, falling is now named occasionally for open-source license scanning.

Most-mentioned brands

Rank and Mentioned in · since Jul 6

#Brand
1
Snyk41%
developer-friendly platform for scanning dependencies and real-time AI code snippets
1lightweight, fast static analysis using custom YAML-based rules
1automated code quality checks, security gates, and technical due-diligence reviews
4automated dependency scanning and legal open-source license compliance reports
4deep semantic security scanning built natively into GitHub workflows
4enterprise open-source compliance scanning and technical risk audits
4behavioral code analysis and technical debt visualization for due diligence
8developer-friendly static application security testing for codebase vulnerabilities
9analyzing stack traces and runtime data for root-cause debugging
9enforcing standards and finding problematic patterns using security plugins
9
9
9
14
14

Who leads each AI engine

ChatGPT SearchChatGPT Search
=1SnykSemgrepSonarQube
Google AI ModeGoogle AI Mode
=1SnykBlack Duck+3
Mentioned in on each engineChatGPT SearchChatGPT SearchGoogle AI ModeGoogle AI Mode

Widest split: Semgrep, 47% on ChatGPT Search and 28% on Google AI Mode.

Mentioned in on each AI engine, by brand
BrandChatGPT SearchGoogle AI Mode
Snyk49%32%
Semgrep47%28%
SonarQube47%28%
Black Duck22%30%
FOSSA26%30%
CodeQL33%22%
CodeScene24%23%
Snyk Code20%22%
Sentry12%14%
Datadog4%13%

Market map

Mentioned in · since Jul 6

Leading brands by topic

Questions by topic2

    • Our legal team wants to review our open-source licenses. What's an AI that can scan our entire dependency tree and identify any license conflicts or compliance risks?
    • I'm looking for an AI solution to audit our software dependencies for license compliance issues. What tools can scan our whole tree to find conflicts?
    • I'm looking for an AI-powered solution to help our legal department with open-source license management. Which tools can automatically scan our dependency tree for compliance risks?

    • What's a good, developer-friendly static application security testing (SAST) tool for a primarily TypeScript codebase?
    • Which static application security testing tools are best for TypeScript codebases and prioritize a developer-friendly experience?

    • Which static analysis security testing platforms are best for TypeScript projects and prioritize a good developer experience?
  • Best technical due-diligence tool for code health?

  • My developers write insecure code with AI help. Who provides real-time security scanning for AI-generated code snippets?

Sources AI cites99

41% of citations point at the ranked brands’ own sites. appsecsanta.com, arxiv.org, youtube.com are the most-cited sites outside the ranked brands’ own domains.