Head-to-Head Comparison
AI-assisted SAST — AI-assisted SAST as part of the broader Snyk developer security platform
| Capability | DryRun Security | Snyk Code | Verdict |
|---|---|---|---|
| Detection Categories1 | |||
| What this tool covers | ℹ SAST, PR Reviews, SCA, Secrets, IaC. |
ℹ SAST. Partial: SCA, Secrets, IaC, Container. |
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| AI & Intelligence9 | |||
| AI-Native Architecture | ✓ Built AI-native in 2023. Model-independent verification layer. Uses a fleet of specialized agents (Code Review, DeepScan, Custom Policy, Codebase Insight) rather than one general model. |
~ DeepCode engine (ML + symbolic) predates the current LLM wave. Snyk has added LLM-based features on top. |
DryRun leads |
| Agentic / Multi-Agent System | ✓ Code Review Agent, Custom Policy Agent, DeepScan Agent, Codebase Insight Agent + specialized sub-agents; AGENTS.md support (Linux Foundation) |
✗ Single DeepCode engine; not multi-agent |
DryRun leads |
| Natural Language Policies | ✓ Natural Language Code Policies (NLCP); Policy Library with 16+ pre-built policies; Custom Policy Agent enforces on every PR |
✗ Uses YAML .snyk files; not natural language policies |
DryRun leads |
| Model-Independent Verification | ✓ Separates code generation from code verification; works regardless of which AI model or human generates code |
✗ No separate verification layer; DeepCode findings are the final output. |
DryRun leads |
| Code Security Knowledge Graph | ✓ Accumulates organizational knowledge across PRs; cross-repo intelligence; learns risk tolerance from dismissal patterns (nitpicks, FPs, accepted risks); FP fingerprinting improves decision quality over time |
✗ No knowledge graph; findings are per-scan and not cross-repo accumulated. |
DryRun leads |
| Cross-repo Analysis | ✓ Accumulates security knowledge across all repos in an org for org-wide pattern detection. |
✗ — |
DryRun leads |
| Code Security Memory | ✓ Persistent memory of FP fingerprints, dismissed findings, and accepted risk decisions across reviews. |
✗ — |
DryRun leads |
| Custom DryRun Cyber Models | ✓ Purpose-built models trained for code security, not general-purpose foundation models. |
✗ — |
DryRun leads |
| Multi-model Architecture | ✓ Routes each task to the best-fit model rather than relying on a single LLM. |
✗ — |
DryRun leads |
| AI Coding Agent Security6 | |||
| Securing AI-Generated Code | ✓ Reviews every PR regardless of who whether the author was human or AI, DryRun is especially effective at identifying the types of flaws AI coding tools are prone to create. |
~ Scans AI-generated code like human code — not a purpose-built AI coding workflow. |
DryRun leads |
| AI Coding Visibility / Observability | ✓ Code Insights with AI Assistance (beta): NL queries for risk, trends, exposure; org-wide visibility; per-repo drill-down; file-level security history |
✗ Standard SAST findings view; no AI-specific observability layer. |
DryRun leads |
| Malicious AI Agent Skill Detection | ✓ Policy Library includes Malicious AI Agent Skills Detection: flags skills/plugins that could enable data theft, backdoors, or code execution |
✗ No dedicated detection for malicious AI agent skills or plugins. |
DryRun leads |
| MCP Integration | ✓ DryRun Insights MCP server: security summaries, PR analysis, trend monitoring, file-level history; connects via Direct HTTP, Claude Shortcuts, or mcp-remote |
✓ MCP server in Snyk CLI exposes scans to AI coding tools |
Tie |
| Continuous Enforcement Layer | ✓ Runs on every PR automatically. Policies enforced at the merge gate. Always on — not invoked per-task. |
✓ PR/MR integration across GitHub, GitLab, Bitbucket, Azure DevOps. |
Tie |
| Per-Review Economics (predictable vs. usage-metered) | ✓ Flat subscription pricing based on team size. Usage pricing applies to DeepScan product. |
✓ Seat-based subscription. Predictable. |
Tie |
| Code Security Intelligence3 | |||
| Business Logic Flaw Detection | ✓ Covers all logic flaws, BOLA, IDOR, broken auth, multi-tenant isolation, mass assignment, privilege escalation, OAuth, WebSocket auth bypass, and more. See docs.dryrun.security for more. |
✗ Pattern-based engine with limited business-logic reasoning. DryRun's benchmark measured 10/26 on a seeded set — methodology disclosed in the report. |
DryRun leads |
| Git Behavioral Analysis | ✓ Git Behavioral Graphs: code churn, temporal coupling, knowledge decay, temporal anomalies, intent mining |
✗ Not available |
DryRun leads |
| Continuous Baseline & Risk Trending | ✓ Risk Register with Critical/High/Medium/Low severity; AI Assistance for Insights with NL queries, trend monitoring, and 30-day window analysis |
~ Dashboard with basic trending; priority score tracking |
DryRun leads |
| Workflow & Supply Chain2 | |||
| SCM Support | ✓ GitHub and GitLab (native apps with OAuth) |
✓ GitHub, GitLab, Bitbucket, Azure DevOps |
Tie |
| SBOM / AI-BOM Generation | ✓ DeepScan generates SBOM with SCA agent providing dependency inventory and license checking (Dependency License Check policy). Plus AI-BOM and runtime context — not just a static dependency graph. |
~ SBOM via Snyk Open Source CLI (SPDX/CycloneDX). AI-BOM experimental via Snyk Labs. |
DryRun leads |
| Reporting & Compliance1 | |||
| Compliance Framework Mapping (SOC 2, PCI, NIST, OWASP, MISRA, STIG) | ~ Findings tagged with OWASP Top 10 and CWE. Dedicated SOC 2 / PCI / STIG report templates are on the roadmap, not shipped. |
✓ Reports mapped to OWASP, PCI, NIST. |
Competitor leads |
| Market Feedback (G2)4 | |||
| G2 Rating / Review Count | ℹ 4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews |
ℹ 4.5/5 (129 reviews) — g2.com/products/snyk/reviews |
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| Notable G2 Praise (Attributed) | ℹ "DryRun goes far beyond what rule-based SAST tools offer. It catches things other tools completely miss — like middleware that's defined but never mounted, or trust boundary misalignments." — Jabez A., Director, Product Security Architecture, Enterprise (g2.com/products/dryrun-security/reviews) |
ℹ "Snyk is fantastic for keeping track of vulnerabilities at scale" — valued for breadth of coverage and developer experience (g2.com/products/snyk/reviews) |
— |
| Notable G2 Criticisms (Attributed) | ℹ "I do somewhat wish there were more customization options for tuning the analyzers, but that seems to be in the works." — Kyle R. (g2.com/products/dryrun-security/reviews) |
ℹ "Customer support is slow to respond, usually not helpful and ended up escalating to a developer, that's when we lost all contact." (g2.com/products/snyk/reviews) |
— |
| Common G2 Complaint Themes | ℹ UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews) |
ℹ False positives; expensive pricing; slow customer support (g2.com/products/snyk/reviews) |
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