Head-to-Head Comparison
Code Quality & Security Platform — Established code quality and security platform with SAST, secrets, IaC scanning across 42+ languages
| Capability | DryRun Security | Sonar | Verdict |
|---|---|---|---|
| Detection Categories1 | |||
| What this tool covers | ℹ SAST, PR Reviews, SCA, Secrets, IaC. |
ℹ SAST, Secrets, IaC. Partial: SCA. |
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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. |
~ Deterministic rule engine with AI CodeFix for remediation. |
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) |
✗ AI CodeFix layer; deterministic rule 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 |
✗ Quality Gates are configuration-based; no natural language policy engine |
DryRun leads |
| Model-Independent Verification | ✓ Separates code generation from code verification; works regardless of which AI model or human generates code |
~ Deterministic rules provide a static baseline (not AI-verification) |
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 code security knowledge graph; Quality Gate data is project-scoped. |
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; AI CodeFix aids remediation. |
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 |
~ Quality Gate overview; 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 AI-agent skill scanning. |
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 is GA |
Tie |
| Continuous Enforcement Layer | ✓ Runs on every PR automatically. Policies enforced at the merge gate. Always on — not invoked per-task. |
✓ Quality Gate at PR. |
Tie |
| Per-Review Economics (predictable vs. usage-metered) | ✓ Flat subscription pricing based on team size. Usage pricing applies to DeepScan product. |
✓ Per-LOC or per-user pricing (SonarQube Server / Cloud). |
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. |
✗ Rule-based, not AI-reasoning based; no business logic detection |
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 |
✓ Centralized dashboard with Quality Gates; historical 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 | ✓ 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. |
~ Imports CycloneDX and SPDX SBOMs (does not generate them); import capability since 2025.6 |
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. |
✓ Strongest compliance mapping of any SAST: OWASP 2025, MISRA, STIG V6R3, PCI. |
Competitor leads |
| Market Feedback (G2)4 | |||
| G2 Rating / Review Count | ℹ 4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews |
ℹ 4.4/5 (139 reviews) — g2.com/products/sonarqube/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 "Essential for code quality and consistency" — praised for mature rule set and IDE integration (g2.com/products/sonarqube/reviews) |
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| 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 "Advanced Security features require expensive Enterprise add-on." (g2.com/products/sonarqube/reviews) |
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| Common G2 Complaint Themes | ℹ UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews) |
ℹ Expensive Enterprise add-on pricing for advanced features; complex setup; SCA requires add-on (g2.com/products/sonarqube/reviews) |
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