AICentralResources
AI Tool Comparison

Comparing as AI Model & LLM Security
Semgrep vs Wiz

Semgrep

Semgrep

VS
Wiz

Wiz

Verdict by Category

Detailed category analysis is not available for this comparison.
View Semgrep View Wiz

Detailed Comparison

Feature
Semgrep
Wiz
Pricing
FreemiumSemgrep Community Edition is completely free and open-source under LGPL-2.1 with no usage limits, no account required, and no artificial restrictions — a genuine free SAST engine for individual developers and teams. Team plan at approximately $35/contributor/month bundles Semgrep Code (SAST), Semgrep Supply Chain (SCA), and Semgrep Secrets together with Semgrep Assistant AI triage, cross-file analysis, 20,000+ Pro rules, SSO, PR/MR integration, and IDE plugins. Modules can also be purchased separately (approximately $30 each for SAST and SCA, $15 for Secrets) for teams needing only specific capabilities. Enterprise plan at custom pricing adds dedicated support and SLAs, advanced RBAC, custom deployment options, Semgrep Guardian pipeline builder, AI Memories across all repositories, MCP server integration, and advanced compliance reporting. Contact Semgrep through semgrep.dev for enterprise pricing.
EnterpriseWiz uses enterprise-only, workload-based pricing and does not publish list prices; all plans require a sales conversation. Published AWS Marketplace reference pricing lists Wiz Essential at $24,000/year and Wiz Advanced at $38,000/year for 100 cloud workloads, with add-ons such as Wiz Sensor ($28,000/year for 100 sensors), Wiz Code ($58,500/year for 100 code licenses), and Wiz Defend ($18,000/year for 300GB of monthly log ingestion). Third-party spend data (Vendr) puts overall contract values between roughly $24,000 and $354,000/year, with a median around $111,500/year. Most contracts run 12 months, and pricing scales with the number of cloud workloads protected.
Categories
AI Cybersecurity ToolsAI Coding Assistants
AI Cybersecurity ToolsAI Developer APIs & Platforms
Summary
Open-source SAST and AI AppSec platform — custom rules, Semgrep Assistant, and Multimodal engine for AI-generated code
Agentless cloud security that connects code, cloud, and runtime into one graph
Semgrep

Semgrep Pros & Cons

Pros

  • Genuinely free open-source SAST engine (LGPL-2.1) with no account or usage limits — real value, not a crippled demo
  • 100M+ scans/year at Figma, Dropbox, Okta, Lyft, Snowflake — proven at scale in demanding engineering environments
  • YAML custom rules — most readable, maintainable, and auditable rule format in the AppSec market
  • Semgrep Multimodal (2026) — hybrid rule + LLM engine reporting 8x more true positives with 50% less noise
  • Semgrep Assistant AI Memories auto-applies past triage decisions — no double-reviewing the same false positive
  • MCP server integration (2025) — AI coding assistants can call Semgrep scans in real-time as code is generated
  • Gartner Magic Quadrant Leader for Application Security Testing (2025), $204M raised, Menlo/Lightspeed/Sequoia-backed

Cons

  • Commercial Team/Enterprise plans add up quickly when stacking multiple modules (SAST + SCA + Secrets)
  • Requires source code access — cannot scan compiled binaries unlike Veracode
  • No built-in developer security training module (unlike Checkmarx Codebashing or Veracode eLearning)
  • GitLab Ultimate packages the open-source engine for free — reduces incremental value for GitLab users
  • Advanced AI features (Memories, MCP server, Multimodal) gated to higher-tier paid plans
Wiz

Wiz Pros & Cons

Pros

  • Agentless architecture enables fast onboarding without deploying agents everywhere
  • Unified Security Graph correlates risk across code, cloud, identity, and runtime
  • Strong analyst recognition: Forrester Wave CNAPP Leader, IDC MarketScape, high review ratings
  • AI-SPM addresses emerging shadow-AI and model exposure risks
  • Backed by Google Cloud following the March 2026 acquisition, ensuring continued investment

Cons

  • Enterprise-only pricing with no free tier, self-serve option, or published list price
  • Per-workload pricing scales linearly and can grow expensive for large cloud estates
  • Full value (runtime protection, AI agents) requires significant configuration effort
  • Limited built-in runtime protection compared to dedicated CWPP/EDR-only tools
  • Recent Google acquisition introduces some uncertainty around long-term roadmap and pricing