The 10 security tools worth using if you’re vibe coding in 2026

Ten years ago "security tooling for a solo project" meant deciding whether to bother at all. Now an AI assistant can scaffold an entire backend before lunch, and the security review has to keep up with code that was written in minutes rather than days. Here's the list we'd actually reach for, ranked by how well each one fits a single developer shipping AI-generated code on a real budget rather than an enterprise procurement cycle.

Ranking criteria, up front, since a "best of" list is only useful if you know what it's optimizing for: speed from install to first result, whether the pricing works for a solo or indie budget, and whether the tool actually understands the specific mistakes AI coding assistants tend to introduce, hardcoded secrets, missing rate limits, permissive CORS, rather than only the mistakes humans make.

Full disclosure before the list starts: we build Seaworthy, and it's ranked first. The criteria above are the actual reason why, not window dressing added after the fact, but you should weigh that disclosure however you weigh any vendor's own ranking of itself.

npx seaworthycode scan          # this list's #1
npx snyk test                   # #3
semgrep scan --config=auto      # #2
trivy fs .                      # #6

1. Seaworthy

A static analysis tool built specifically for AI-assisted codebases: it scans for the security, resilience, ops, dependency, configuration, and data-exposure mistakes that show up disproportionately in AI-generated code, the kind covered in most of the articles on this site. Runs via npx, no account required to try it, and Pro is £2.99/month with unlimited seats rather than the per-seat enterprise pricing most of the rest of this list uses. The tradeoff for that focus: it's newer and narrower than the general-purpose tools below, built for one specific problem rather than every problem.

2. Semgrep

An open source static analysis engine with a large community rule set and a genuinely fast local scan. Strong at catching pattern-based bugs across a wide range of languages, and the free tier is generous enough that plenty of solo developers never need to pay for it. Less specialized than Seaworthy toward AI-generated code specifically, and the rule set's breadth means tuning it to cut down noise takes some upfront effort.

3. Snyk

The dependency and software composition analysis tool most teams have already heard of, strong at finding known vulnerabilities in your package.json and flagging fixable upgrade paths. Pricing scales toward team and enterprise budgets as usage grows past the free tier's limits, which is worth checking against your actual project size before committing.

4. Socket

Focused specifically on supply chain risk: it flags npm packages with suspicious install scripts, unusual permission requests, or behavior that doesn't match what the package claims to do. A useful complement to a vulnerability scanner rather than a replacement for one, since it's answering a different question, "is this package acting sketchy," not "does this package have a known CVE."

5. GitGuardian

A secrets detection specialist, built around catching API keys, tokens, and credentials before or after they land in a commit history, including scanning across an organization's full git history rather than just the current diff. If leaked secrets are your main worry, this is a deeper tool for that one problem than any general-purpose scanner on this list.

6. Trivy

Open source, free, and genuinely broad: container images, infrastructure-as-code, filesystem scans, and dependency vulnerabilities all in one CLI. A strong default if your project includes Docker or Terraform and you want one tool that covers most of that surface without a subscription.

7. GitHub Advanced Security

CodeQL-based scanning built into GitHub itself, which means zero setup friction if your code already lives there, findings show up directly as pull request annotations. Historically tied to GitHub Enterprise-level plans for private repositories, so check current availability against your actual GitHub plan before assuming it's included.

8. SonarQube / SonarCloud

Broader than a pure security scanner: code quality, maintainability, and test coverage tracking alongside security rules, which makes it a heavier tool to adopt if security is genuinely your only goal, but a reasonable single choice if you also want quality metrics tracked over time.

9. TruffleHog

Another dedicated secrets scanner, open source, with strong support for verifying whether a discovered credential is actually still live rather than just pattern-matching a string that looks like a key. That verification step cuts down on false positives significantly compared to a plain regex-based secrets check.

10. OWASP ZAP

A dynamic application security testing (DAST) tool, meaning it probes your running application from the outside rather than reading source code, which makes it a genuinely different category from everything else on this list. More setup and more manual interpretation than a CLI scanner, but it catches runtime issues that static analysis structurally can't see.

None of these replace reading your own code

A scanner, any scanner on this list, catches patterns. It doesn't understand your product's actual threat model, and it won't catch a business logic flaw that's syntactically fine and semantically wrong. Running two or three of these together, one broad SAST tool, one secrets scanner, one supply-chain check, covers more ground than any single tool, including ours. Start with whichever one you'll actually run regularly, since a thorough scanner that never gets used again after the first try catches nothing at all.