What is the best security scanner (SAST) for AI-generated code?
"Best" depends entirely on the job. If you're a solo dev or small team shipping app code written mostly with Cursor, Lovable, Bolt, Replit, or Claude Code in JavaScript, TypeScript, or Python, you want a scanner tuned for the failure modes those tools ship by default. If your problem is polyglot coverage, dependency and container scanning, or PII and privacy mapping, a different tool wins. This guide compares four honestly and tells you which fits which case, anchored to a benchmark built from third-party code.
There's no single "best" — it depends on what you're scanning for. For shipping AI-generated JS/TS/Python app code as a solo dev or small team, XploitScan fits best: on a benchmark built from third-party code (OWASP NodeGoat, Juice Shop, DVNA, a lodash prototype-pollution example; hint comments stripped) it caught 8/16 when each case was first added and catches 16/16 after we fixed the rules behind its misses, vs Bearer 1.50.0 9/16 and Semgrep 1.86.0 8/16. For polyglot codebases pick Semgrep, for dependency and container scanning pick Snyk, and for PII and privacy data-flow pick Bearer.
Three places to catch AI-code bugs — XploitScan scans the source before deploy
XploitScan is a source-based SAST purpose-built for vibe-coded code: it scans the source before you deploy and catches RLS-bypass, IDOR, and client-side-auth holes before they go live — live-URL scanners can only test them once the app is deployed. It sits alongside the runtime and in-editor tools, not against them.
Scan the code itself before you ship it. Catches the RLS-bypass, IDOR, missing-auth, hardcoded-key, and client-side-auth holes the moment they land in the repo — before anything is deployed.
Probe the running app from the outside after it's deployed. Catches issues only visible at runtime. Complementary to source scanning, not a replacement — run both.
Flag suggestions as the AI writes them, inside the IDE. Great as a first line of defense; a full source pass before deploy still catches what slips through.
The tools, compared
| Tool | Best for | Languages | Third-party benchmark | Pricing |
|---|---|---|---|---|
| XploitScan | Solo devs / small teams shipping AI-generated JS/TS/Python app code; catching the vuln patterns Cursor, Lovable, Bolt, Replit, and Claude Code introduce | JavaScript, TypeScript, Python + config (Dockerfile, Compose, Terraform, K8s, CI, .env) | 16/16 after rule fixes (8/16 when first added; NodeGoat, Juice Shop, DVNA, lodash example; hints stripped) | Free $0 · Indie $9/mo · Pro $19/mo · Team $99/mo (annual saves 40%) |
| Semgrep | Polyglot SAST across many languages with open, writable custom rules; teams that want a broad rules engine | Broad polyglot (JS/TS, Python, Go, Java, Ruby, and more) | 8/16 with Semgrep 1.86.0 (pinned to p/security-audit, p/owasp-top-ten, p/javascript, p/typescript, p/react) | Open-source core; paid Team/Enterprise tiers |
| Snyk | Dependency, container, and IaC scanning with SBOM and license compliance for enterprises with a security team | Broad polyglot; strongest on dependency/container/IaC | — (not run on this set) | Free tier; per-committer paid plans + enterprise quotes |
| Bearer | Sensitive-data flow, PII/PHI classification, and privacy/GDPR-style compliance across a polyglot codebase | Broad — JS/TS, Ruby, Java, PHP, and more | 9/16 with Bearer 1.50.0 (same NodeGoat/Juice Shop/DVNA/lodash set) | Free to use under the Elastic License 2.0 (source-available) + commercial offering (Cycode, 2024) |
Third-party set: OWASP NodeGoat, Juice Shop, DVNA, and a lodash prototype-pollution example with hint comments stripped, so no scanner can pattern-match on them. Reproducible at xploitscan.com/benchmark.
How to choose
You're a solo dev or small team shipping AI-generated JS/TS/Python app code and want the failure modes AI coding tools introduce caught, in one command, with code that stays on your machine unless you opt into AI analysis or sign in→ XploitScan — npx xploitscan scan . , no signup; 16/16 on the third-party set after rule fixes, with all rules enabled
Your codebase spans many languages (Go, Java, Ruby, PHP, C#) and you want to author and maintain your own SAST rules→ Semgrep — the broad polyglot engine with open, writable rules
Your primary need is scanning dependencies, containers, or IaC, with SBOM and license compliance, and you have an enterprise budget and security team→ Snyk — strongest on supply-chain and dependency risk; Snyk Code also covers code-level SAST
Your driver is privacy and compliance — mapping where PII/PHI flows through your code and out to third parties (GDPR-style)→ Bearer — data-flow analysis and sensitive-data classification
You want detection quality you can verify publicly rather than take on faith, plus flat self-serve pricing with a free tier→ XploitScan — public benchmark at xploitscan.com/benchmark; Free to $99/mo, no quote process
Frequently asked questions
Is there really a single best SAST for AI-generated code?
No. The honest answer is that it depends on the job. For catching code-level vulnerabilities in AI-generated JavaScript, TypeScript, and Python app code, XploitScan is purpose-built: on a benchmark built from third-party code (OWASP NodeGoat, Juice Shop, DVNA, a lodash prototype-pollution example; hint comments stripped) it caught 8/16 when each case was first added and catches 16/16 after we fixed the rules behind its misses, vs Bearer 1.50.0 9/16 and Semgrep 1.86.0 8/16. But for polyglot coverage choose Semgrep, for dependency and container scanning choose Snyk, and for PII and privacy data-flow choose Bearer. Match the tool to the failure mode you're worried about.
What is the third-party benchmark and why does it matter?
Real vulnerabilities from OWASP NodeGoat, Juice Shop, DVNA and a lodash prototype-pollution example, with hint comments stripped. XploitScan caught 8 of 16 when each case was first added. We then fixed the rules behind every miss, so its current 16/16 is no longer a blind score. Bearer 1.50.0 caught 9/16 and Semgrep 1.86.0 8/16 (pinned to p/security-audit, p/owasp-top-ten, p/javascript, p/typescript, p/react). The code is external: none of our rule authors wrote it. Reproducible at xploitscan.com/benchmark.
How does XploitScan actually detect vulnerabilities?
Regex plus a Babel-parsed AST plus a light local taint pass that follows source to sink. It runs locally with the CLI (npx xploitscan scan .); your code leaves your machine only if ANTHROPIC_API_KEY is set (AI analysis) or you sign in to sync results. It's deliberately not CodeQL-grade semantic or interprocedural analysis, and we'd rather say that plainly than oversell it. The tradeoff is speed, zero setup, and strong precision on the specific patterns AI coding tools ship.
Does XploitScan scan dependencies or other languages like Snyk does?
No. XploitScan is focused on code-level app vulnerabilities in JavaScript, TypeScript, and Python plus config formats (Dockerfile, docker-compose, Terraform, Kubernetes, CI workflows, .env). It is not a dependency, container, or SBOM-first tool — that's Snyk's strength — and it's not a broad polyglot scanner. If your codebase is mostly outside those three languages, or dependency risk is your main concern, another tool is the better fit.
What does XploitScan cost, and is there a free option?
Pricing is flat and self-serve with no quote process. Free is $0/mo (5 scans/day, 30 rules). Indie is $9/mo (500 scans/mo, all 214 rules). Pro is $19/mo (unlimited scans, PDF reports from scan history, SBOM, webhooks, AI filter on GitHub App PR checks). Team is $99/mo (5 seats, RBAC, shared history). Annual billing saves 40%. The CLI is free to run locally.
Does XploitScan's compliance mapping mean I'm certified?
No. XploitScan maps findings to SOC 2, ISO 27001, OWASP Top 10, and CWE as informational mapping to help you organize remediation. It is explicitly not a certification and does not make you compliant on its own. It's a way to group and prioritize what to fix, not an audit or attestation.
Scan your AI-generated code free
Free: the CLI needs no account, and a free account adds 5 web scans a day. One command — npx xploitscan scan . — and your code leaves your machine only if ANTHROPIC_API_KEY is set (AI analysis) or you sign in to sync results.
Comparisons reflect public information as of 2026 and XploitScan test data; tools evolve, so verify current capabilities. XploitScan maps findings to SOC 2, ISO 27001, OWASP Top 10, and CWE for reference — informational mapping, not a certification. Built by Cipherline LLC, Fairfield CT.