Arcjet vs Checkmarx One

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

Custom

Checkmarx One

Application Security

Checkmarx One is an enterprise application security platform with AI-assisted capabilities for identifying, prioritizing, and remediating vulnerabilities across the software development lifecycle.

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Starting Price

Custom

Feature Comparison

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FeatureArcjetCheckmarx One
CategoryApplication SecurityApplication Security
Pricing Plans140 tiers10 tiers
Starting Price
Key Features

      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

      Checkmarx One - Pros & Cons

      Pros

      • Consolidates SAST, SCA, IaC, API security, container scanning, and DAST in a single platform, reducing tool sprawl and procurement overhead for enterprise AppSec programs
      • AI-assisted remediation generates contextual, language-specific fix suggestions directly in the IDE and PR workflow, helping developers resolve vulnerabilities without deep security expertise
      • Strong correlation and prioritization engine reduces noise by linking findings across engines and flagging only exploitable, reachable issues rather than overwhelming developers with raw scanner output
      • Deep integration with the developer toolchain — GitHub, GitLab, Bitbucket, Azure DevOps, Jenkins, Jira, VS Code, IntelliJ — keeps security feedback inside existing workflows
      • Backed by Checkmarx's mature SAST engine with broad language coverage (35+ languages and frameworks) and a long track record in regulated industries like finance, healthcare, and government
      • Includes capabilities to scan AI-generated code and govern usage of AI coding assistants, addressing an emerging risk category that newer point tools often miss

      Cons

      • Enterprise-only pricing with no public tiers, free tier, or self-serve onboarding makes it inaccessible for startups, small teams, and individual developers
      • Initial configuration, policy tuning, and integration into existing CI/CD pipelines can be time-consuming and typically requires professional services or dedicated AppSec engineers
      • Scan times on large monorepos can be lengthy compared to lighter-weight SAST tools, which can create friction in fast-moving CI pipelines if not tuned carefully
      • Despite improved correlation, SAST engines still produce false positives that require triage, and the AI assistant's fix suggestions need human review before being merged
      • User interface and reporting, while comprehensive, can feel dense and overwhelming for first-time users and small teams who don't need the full enterprise feature set

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