Every "best security tools" list reads the same: a wall of logos, a vague "great for enterprise," and zero mention of what it actually costs or where it falls apart. I work at Entalogics, where we run code security audits for a living, so this is the list sorted by what actually matters when you're the one picking a tool and living with the result.
One thing worth saying upfront: almost none of these tools were built with AI-generated code's specific failure modes in mind — hallucinated dependencies, hardcoded secrets, and broken authorization logic that Supabase/Firebase-backed apps ship with by default. Keep that gap in mind as you read, because it's the reason a tool-only setup isn't the whole answer. More on that at the end.
Static Analysis (SAST) — Catches Issues Before Anything Runs
Semgrep Fast, and the rules are plain YAML you can read and write yourself instead of trusting a black box. Has a free Community Edition and a large public rule registry. The catch: the open-source edition only does single-file analysis, so it misses cross-file vulnerabilities unless you're on a paid tier or writing custom rules. Team pricing starts around $35/contributor/month.
SonarQube The most generous free tier of the serious options, and by far the broadest language support — it'll scan COBOL and ABAP alongside your JavaScript if you need that. The honest weakness: only around 15% of its default ruleset is security-focused; the rest is code quality. Security-specific depth is an add-on, and a pricey one — Enterprise starts near $20K/year with the Advanced Security module running another $35K+ on top.
Checkmarx An all-in-one suite covering SAST, SCA, DAST, IAST, API, and container scanning under one roof, with FedRAMP High-Ready compliance for teams that need it. The trade-offs are real: scans commonly run 25-45 minutes, reported false-positive rates land around 36%, and there's no free tier. Enterprise pricing runs $40K-$59K/year and up.
Veracode Different approach — binary/bytecode analysis instead of source, so it doesn't need repo access, which some compliance-heavy orgs prefer. Cloud-only, full scans can take hours, and licensing is per-application, which gets expensive fast if you're running microservices. Starts around $15K/year per application; enterprise deployments commonly exceed $200K/year.
Software Composition Analysis (SCA) — Catches the Dependency Problem
This is the category that matters most if you're working with AI-generated code, because it's the one that can catch a hallucinated or slopsquatted package before it's installed — a real risk: a 2025 USENIX Security study found 19.7% of AI-recommended packages across 16 LLMs simply didn't exist, and attackers are already registering those exact names.
Snyk The widest integration ecosystem of anything on this list — IDEs, container registries, IaC, Jira, Slack, and direct integration with AI coding assistants like GitHub Copilot and Gemini Code Assist. PR scans run in around 45 seconds. Free tier available with real limits; Team runs $25/developer/month, Enterprise around $110/developer/month. Its SAST module is generally considered less mature than its SCA — use it for dependency scanning first.
OWASP Dependency-Check / OSV-Scanner Not in the Semgrep/Snyk league for polish, but free, open-source, and genuinely good at the core job — matching your dependency tree against known-vulnerable package databases. If budget is the constraint, this plus a lockfile policy covers real ground.
Dynamic Analysis (DAST) — Catches What's Only Visible at Runtime
**OWASP ZAP **Free, open-source, and the default starting point for most teams' DAST setup. Plugs into CI/CD via API, runs against a staging environment. Less polished UI than the commercial options, but genuinely capable for automated scanning of common issues like injection and broken auth exposure.
Burp Suite Enterprise The step up from ZAP when you need scheduled scanning across many apps with less manual tuning. Strong at finding business-logic-adjacent issues a pure signature scanner misses. Commercial pricing, scales with the number of apps under scan.
What None of These Tools Actually Do
This is the part that matters most for anyone auditing AI-generated code specifically. None of the tools above were built to detect the three failure patterns that keep showing up in vibe-coded apps — the pattern is documented in more depth in our breakdown of the hidden security risks in vibe-coded apps:
Hallucinated dependencies — SCA tools catch known-vulnerable packages, not packages that don't exist yet because an AI invented the name
Hardcoded secrets in AI-generated scaffolding — a secrets scanner catches the pattern, but only if it's running on every commit with push protection, not a periodic sweep
Row-Level Security left disabled on Supabase/Firebase-backed apps — this is a configuration-level failure, not a code pattern, and none of the SAST/DAST tools above check it by default. This single gap is behind CVE-2025-48757 and a documented pattern across the majority of audited AI-built apps
Tooling catches the patterns it was built to catch. The gap above is exactly why a tool stack plus a human review pass scoped specifically to AI-generated code's failure modes — not a general code review — is the actual answer, not a tooling choice by itself.
What We'd Actually Run
For a team starting from zero in 2026: Semgrep or SonarQube's free tier for SAST, Snyk's free tier (or OWASP Dependency-Check if budget is zero) for SCA, and OWASP ZAP for DAST. That's a real baseline at $0, and it's most of what a paid Checkmarx or Veracode license gets you for the first 80% of coverage. The paid tiers earn their cost at scale — more apps, compliance requirements, lower false-positive tolerance — not on day one.
If you're specifically auditing an app built with Cursor, Bolt, Lovable, v0, or similar tools, pair whatever stack you land on with a manual pass that checks the three gaps above directly. That's the exact scope our AI Code Security Audit runs — dependency verification, secrets scanning, and authorization review, delivered as a fixed-price, 5-business-day engagement with a severity-ranked report at the end.
No tool on this list replaces that check. They're built to catch what a human misses — not the specific blind spots AI coding tools introduce.
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