Head-to-Head Comparison

DryRun Security vs Semgrep

If you’re evaluating Semgrep, compare the specific scanning and AI workflows your team would use. DryRun performs automated adversarial review in configured pull request workflows, evaluates natural-language security requirements against code context and carries retained application knowledge into later investigations.

Static and AI code analysis, dependency analysis and secrets scanning. Commercial AI features are distinct from the open-source engine. Source 1 · Source 2 · Source 3

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

Semgrep Leads

Capabilities Compared

Capability	DryRun Security	Semgrep	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 Code scanning, dependency analysis and secrets scanning; advanced AI analysis and workflows have separate scope and usage terms. Source 1 · Source 2	—
AI & Intelligence9
AI-Native Architecture	✓ Automated adversarial review combines security agents, application context and deterministic analysis. Source 1 · Source 2	~ Combines deterministic analysis with AI triage and AI-powered detection; Agentic Workflows is a separate beta feature. Source 1 · Source 2	DryRun leads
Agentic / Multi-Agent System	✓ PR review and repository investigations use specialized security agents and evaluations. Source	~ Agentic Workflows is beta; reviewed documentation does not establish a coordinated multi-agent architecture. Source	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	~ AI can help author rules; custom detection rules use Semgrep rule syntax. Unified Policies configures finding actions. Source 1 · Source 2 · Source 3	DryRun leads
Model-Independent Verification	✓ DryRun security evaluation is separate from developer or supported coding-agent repair. Changed code receives fresh review. Source	~ Deterministic rules provide a static baseline (not AI-verification)	DryRun leads
Code Security Knowledge Graph	✓ PR reviews and DeepScan both build and use the DryRun Security Context Graph.	~ Assistant Memories persist triage context across scans; not a full knowledge graph	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.	✓ Documents model selection and managed OpenAI or AWS Bedrock configurations for AI analysis. Source 1 · Source 2	Tie
AI Coding Agent Security6
Securing AI-Generated Code	✓ Reviews human- and AI-written code in connected, configured workflows. Source	~ Scans AI-generated code via standard rule engine. MCP integration exposes Semgrep to AI coding tools.	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	~ Org findings dashboard; not AI-specific	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 AI agent skills or MCP-skill supply-chain risks.	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	✓ Documents MCP integration for AI coding workflows. Source	Tie
Continuous Enforcement Layer	✓ Configured PR findings fail checks; required source-control protections enforce the customer’s merge policy. Source	✓ Configured blocking findings can fail CI; source-control requirements determine whether a failing check prevents merge. Source 1 · Source 2	Tie
Per-Review Economics (predictable vs. usage-metered)	✓ Flat subscription pricing based on team size. Usage pricing applies to DeepScan product.	✓ Per-contributor pricing; free tier for OSS and small teams.	Tie
Code Security Intelligence3
Business Logic Flaw Detection	✓ Investigates authorization and business-logic vulnerabilities such as IDOR and tenant-isolation failures. Source	~ AI-powered detection investigates business-logic risks in full scans, including non-default branches. It does not support diff-aware PR scans. Source 1 · Source 2 · Source 3	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	✓ Dashboard with findings by severity, priority scores, trend tracking	Tie
Workflow & Supply Chain2
SCM Support	✓ GitHub and GitLab (native apps with OAuth)	✓ GitHub, GitLab, Bitbucket, Azure DevOps	Tie
SBOM / AI-BOM Generation	✓ Provides dependency SBOMs and an AI-BOM inventory. Source 1 · Source 2	✓ Semgrep Supply Chain exports CycloneDX SBOMs. AI-BOM generation is not established by that export. Source	Tie
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	~ Rules can include CWE and OWASP metadata; full mapping to every named compliance framework is not established. Source	Tie
Market Feedback (G2)4
G2 Rating / Review Count	ℹ 4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews	ℹ 4.6/5 (55 reviews) — g2.com/products/semgrep/reviews	—
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 "Incredibly flexible and powerful static analysis tool" — praised for rule ecosystem and customization (g2.com/products/semgrep/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 "Rules can be complex to write for custom use cases." (g2.com/products/semgrep/reviews)	—
Common G2 Complaint Themes	ℹ UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews)	ℹ Complex custom rule writing; noise without proper configuration; pricing for Pro rules (g2.com/products/semgrep/reviews)	—

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DryRun Security vs Semgrep

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