Head-to-Head Comparison

DryRun Security vs Snyk Code

A security finding is useful when your team can act on it before merge. Evaluate Snyk Code and DryRun on representative changes, customer requirements and repairs. DryRun combines automated adversarial review with application context, configured merge controls and guidance inside supported coding agent workflows.

AI-assisted SAST — AI-assisted SAST as part of the broader Snyk developer security platform

Compare with another tool

Compare with: Snyk Code Snyk Evo GHAS Claude Security Codex ZeroPath DepthFirst Corgea Aikido Semgrep Sonar Corridor OX Security Qwiet AI Socket Wiz Code

DryRun Leads

Tie

Snyk Code Leads

Capabilities Compared

Capability	DryRun Security	Snyk Code	Verdict
Detection Categories1
What this tool covers	ℹ PR and repository security review, dependency analysis, secrets analysis and Terraform IaC review. Active-secret verification is attempted where supported. Source 1 · Source 2 · Source 3 · Source 4 · Source 5	ℹ SAST with source-code secret rules. SCA, dedicated secrets, IaC and container scanning are separate Snyk products. Source	—
AI & Intelligence9
AI-Native Architecture	✓ Automated adversarial review combines security agents, application context and deterministic analysis. Source 1 · Source 2	~ Snyk describes DeepCode as combining symbolic analysis and machine learning, with generative models used for explanations and fixes. Source 1 · Source 2	DryRun leads
Agentic / Multi-Agent System	✓ PR review and repository investigations use specialized security agents and evaluations. Source	✗ Single DeepCode engine; not multi-agent	DryRun leads
Natural Language Policies	✓ Natural-language requirements are evaluated against code context; configured findings can fail required source-control checks. Source 1 · Source 2	✗ Uses YAML .snyk files; not natural language policies	DryRun leads
Model-Independent Verification	✓ DryRun security evaluation is separate from developer or supported coding-agent repair. Changed code receives fresh review. Source	✗ No separate verification layer; DeepCode findings are the final output.	DryRun leads
Code Security Knowledge Graph	✓ PR reviews and DeepScan both build and use the DryRun Security Context Graph.	✗ No knowledge graph; findings are per-scan and not cross-repo accumulated.	DryRun leads
Cross-repo Analysis	✓ DryRun looks locally first and, when needed, automatically investigates relevant context, such as authorization logic, across repositories it has permission to access.	✗ —	DryRun leads
Code Security Memory	✓ Retained application context and feedback inform later investigations; changed code receives fresh review. Scanner-excluded candidates and human dismissals are distinct records. Source	✗ —	DryRun leads
Custom DryRun Cyber Models	✓ DryRun reports training and optimizing models for security analysis, including a security-finding classifier. Source 1 · Source 2	✗ —	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 human- and AI-written code in connected, configured workflows. Source	~ Scans human- and AI-written source. Snyk Studio connects Code scanning to supported coding-agent workflows. Source	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	✓ The local Snyk CLI MCP server exposes Code scanning to compatible coding assistants. Source	Tie
Continuous Enforcement Layer	✓ Configured PR findings fail checks; required source-control protections enforce the customer’s merge policy. Source	✓ PR checks return security status; configured source-control branch rules can block merges when required checks fail. Source	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	✓ Investigates authorization and business-logic vulnerabilities such as IDOR and tenant-isolation failures. Source	✗ 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	✓ DeepScan uses Git Behavioral Graphs for churn, temporal coupling, knowledge decay, anomalies and intent analysis. Source	✗ 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	~ Enterprise reports track Code issue exposure and risk trends over time. Source 1 · Source 2	DryRun leads
Workflow & Supply Chain2
SCM Support	✓ GitHub and GitLab (native apps with OAuth)	✓ GitHub, GitLab, Bitbucket and Azure Repos integrations are documented; deployment options and feature support vary. Source	Tie
SBOM / AI-BOM Generation	✓ Provides dependency SBOMs and an AI-BOM inventory. Source 1 · Source 2	~ 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 and reporting include CWE/OWASP context and evidence useful to compliance review. Source 1 · Source 2	✓ CWE and OWASP mappings and reports; PCI DSS 4.0.1 reporting is Enterprise Early Access. Source 1 · Source 2	Competitor leads
Market Feedback (G2)4
G2 Rating / Review Count	ℹ 4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews	ℹ Snyk platform: 4.5/5 from 136 G2 reviews, observed October 31, 2026 (Central). This is not a Code-only rating. Source	—
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 Gunther C. praised easy setup and GitHub Actions integration in an April 7, 2026 Snyk platform review. Paraphrased from an incentivized G2 review. Source	—
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 Prateek J. described SAST false positives and limited finding context in an April 23, 2026 Snyk platform review. Paraphrased from an incentivized G2 review. Source	—
Common G2 Complaint Themes	ℹ UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews)	ℹ April 2026 Snyk platform reviews describe triage noise and pricing concerns. These are individual experiences, not measured prevalence among Code customers. Source	—

Ready to see DryRun Security in action?

Get a personalized demo and see how DryRun compares on your codebase.

Get a Demo

DryRun Security vs Snyk Code

Ready to see DryRun Security in action?

Your cookie choices