Arcjet vs Semgrep

Detailed side-by-side comparison to help you choose the right tool

Arcjet

🔴Developer

Application Security

Runtime application security that ships inside your code: bot detection, rate limiting, prompt-injection protection, PII redaction, and email validation as SDK building blocks.

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Starting Price

$0

Semgrep

🔴Developer

Application Security

Semgrep provides AI-assisted application security capabilities for secure code review.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureArcjetSemgrep
CategoryApplication SecurityApplication Security
Pricing Plans3 listed plansPlan details unavailable
Starting Price$0Custom
Key Features
  • • In-code SDK for Next.js, Node, Bun, Deno
  • • Bot detection and fingerprinting backed by hosted intelligence
  • • Composable rate limiting with token-bucket, fixed-window, sliding-window algorithms
  • • Static application security testing across source repositories
  • • Software composition analysis for dependency risk
  • • Secrets detection in code and development workflows

Arcjet - Pros & Cons

Pros

  • ✓Security policy lives in code, reviewable in pull requests
  • ✓Low latency thanks to in-process WebAssembly execution
  • ✓First-class primitives for AI-specific risks (prompt injection, PII, spend)
  • ✓Generous free tier suitable for early-stage startups
  • ✓Strong DX for Next.js and edge/serverless runtimes

Cons

  • ✗Library model means each app/service needs the SDK integrated
  • ✗Not a drop-in replacement for a full CDN-level WAF
  • ✗Smaller IP/bot dataset than incumbents like Cloudflare or Akamai
  • ✗Newer product — fewer compliance certifications than legacy WAFs
  • ✗No MCP surface yet for agent-driven security operations

Semgrep - Pros & Cons

Pros

  • ✓Rules are readable enough for security engineers and developers to review
  • ✓Fast local and CI feedback can find issues before production
  • ✓Custom rules let teams encode recurring secure-coding requirements
  • ✓SAST, dependency, and secrets findings can share one remediation workflow

Cons

  • ✗Commercial pricing and exact feature boundaries were not verified
  • ✗Custom rules require maintenance as frameworks and coding patterns change
  • ✗Broad rulesets can create noisy findings without tuning
  • ✗Static analysis cannot prove runtime exploitability or replace penetration testing

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