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 |
|---|---|---|---|
| AI & Intelligence7 | |||
| AI-Native Architecture | ✓ AI-native since 2023; model-independent; multi-agent agentic system (Code Review Agent, DeepScan Agent, Custom Policy Agent, Codebase Insight Agent) |
~ AI CodeFix (GA) is model-agnostic (supports Anthropic, Azure OpenAI, custom). MCP Server adds AI integration layer. Not AI-native but meaningful AI capabilities. |
DryRun leads |
| Business Logic Flaw Detection | ✓ IDOR, broken auth, multi-tenant isolation, logic flaws, mass assignment, privilege escalation, TOCTOU race conditions, OAuth failures, WebSocket auth bypass; 88% detection OOTB; outperformed 5 leading SAST tools (2025 SAST Accuracy Report) |
✗ Rule-based, not AI-reasoning based; no business logic detection |
DryRun leads |
| Contextual / Semantic Code Analysis | ✓ Contextual Security Analysis (CSA): data flow, architecture, change history, intent, exploitability; detects issues pattern-based SAST cannot — middleware defined but not mounted, trust boundary misalignment, config not wired up; reads AGENTS.md |
✓ Cross-file taint analysis |
Tie |
| Vulnerability Coverage Breadth | ✓ 48+ vulnerability categories: SQLi, XSS, SSRF, IDOR, RCE, auth bypass, CSRF, XXE, path traversal, prompt injection, LLM tool misuse, OAuth failures, TOCTOU, WebSocket auth bypass, and more |
✓ 6,000+ rules; 30+ languages; OWASP 2025, MISRA, CWE coverage |
Tie |
| Git Behavioral Analysis | ✓ Git Behavioral Graphs: code churn, temporal coupling, knowledge decay, temporal anomalies, intent mining |
✗ | 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 |
| False Positive Reduction | ✓ 90% lower noise; CSA-driven reasoning; Risk Register dismissal with fingerprinting suppresses FPs in future scans |
~ Quality Gate approach reduces noise; some practitioner complaints about false positives |
DryRun leads |
| AI Coding Agent Security6 | |||
| Securing AI-Generated Code | ✓ Reviews all code equally — human or AI-generated; model-independent verification layer; Agentic Coding Security Report (Mar 2026): 143 issues found across Claude/Codex/Gemini builds, 87% of PRs had vulns |
~ Scans AI-generated code like any code; AI CodeFix aids remediation |
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 |
✗ | 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 |
✓ SonarQube MCP Server is GA. Available on VS Code Marketplace, npm, GitHub. |
Tie |
| AI Coding Tool Integrations | ✓ Native integrations: Cursor, Codex, Claude Code, Windsurf, VS Code (via Insights MCP + Add Skill); reviews output of any AI tool via PR workflow |
~ SonarQube for IDE integrates with VS Code/JetBrains; AI CodeFix in IDE; limited AI coding tool integrations |
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 |
~ Organization-level Quality Gate overview; no dedicated AI coding observability |
DryRun leads |
| AI Red Teaming / Threat Modeling | ✗ | ✗ | Tie |
| Code Security Intelligence3 | |||
| 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 |
✗ | DryRun leads |
| Model-Independent Verification | ✓ Separates code generation from code verification; works regardless of which AI model or human generates code |
~ Deterministic rule engine provides model-independent static analysis |
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 |
| Core Detection6 | |||
| SAST (Static Analysis) | ✓ AI-native Contextual Security Analysis engine; agentic multi-agent architecture; works on human and AI-generated code alike |
✓ Mature taint analysis, 40+ languages, 6,000+ rules |
Tie |
| DAST (Dynamic Analysis) | ✗ | ✗ | Tie |
| SCA (Dependency / Supply Chain) | ✓ SCA agent with dependency and supply chain analysis; Risk Register tracks SCA findings by severity |
~ SCA available as Advanced Security add-on in Developer, Enterprise, and Data Center editions (not Enterprise-only). No reachability prioritization. GA since May 2025. |
DryRun leads |
| Secrets Detection | ✓ AI-native secrets analyzer; detects obfuscated secrets (concatenation, base64, logging); hard-coded credentials policy in Policy Library |
✓ 80+ categories of secret patterns (Advanced Security add-on) |
Tie |
| IaC Scanning | ✓ IaC scanning (Terraform, YAML, and infrastructure-as-code analysis) |
✓ CloudFormation, Terraform, Kubernetes, Azure ARM, Docker, Ansible |
Tie |
| Container Scanning | ✗ | ✗ | Tie |
| Remediation & Fixes3 | |||
| Auto-Fix / AI Remediation | ✓ Tessl remediation skill for AI coding tools: extracts finding, researches authoritative sources, applies context-grounded fixes in the developer's codebase; co-authored commits; works in Cursor, Claude Code, Codex, VS Code |
~ AI CodeFix provides AI-generated fix suggestions but requires human review. Model-agnostic. |
DryRun leads |
| Fix Verification / Re-testing | ✓ Re-runs DryRun Security analysis after remediation is applied to verify the fix resolves the finding |
~ Quality Gate re-evaluated on next commit scan; no explicit exploit re-test |
DryRun leads |
| Finding Dismissal & Triage Workflow | ✓ Risk Register with structured dismissal: Accepted Risk, False Positive, In Progress, Resolved, Won't Fix / Nitpick; learns risk tolerance of the repo and org from dismissal patterns (nitpicks, FPs, accepted risks); developer dismissal from PR comments (GitHub + GitLab) |
✓ Mark as false positive, won't fix, accepted risk; bulk triage; Quality Gate integration |
Tie |
| Developer Workflow5 | |||
| PR / Merge Request Reviews | ✓ Every PR; real-time contextual feedback; pass/fail checks; inline explanations; reads AGENTS.md for project context |
✓ PR decoration with Security Hotspots and issue comments; Quality Gate on PR |
Tie |
| Full Repository / Deep Scan | ✓ DeepScan Agent: full-repo security review in hours; discovers root and nested AGENTS.md for context; findings flow to Risk Register |
✓ Full codebase analysis on each scan; 30+ languages |
Tie |
| IDE Integration | ✓ DryRun Insights MCP integrates with VS Code, Cursor, Windsurf, Claude Code, and Codex for security-aware coding assistance |
✓ SonarQube for IDE (SonarLint successor); VS Code, IntelliJ, Eclipse, Visual Studio |
Tie |
| CI/CD Integration | ✓ GitHub and GitLab native integration; webhook notifications (Slack + generic) |
✓ GitHub Actions, GitLab CI, Jenkins, Azure DevOps, CircleCI |
Tie |
| SCM Support | GitHub and GitLab (native apps with OAuth) | GitHub, GitLab, Bitbucket, Azure DevOps | Tie |
| Coverage2 | |||
| Language Support | ✓ 15+ languages optimized: Python, JS/TS, Ruby, Go, C#, Java, Kotlin, PHP, Swift, Elixir, HTML, IaC (Terraform, YAML) |
✓ 30+ languages; 6,000+ rules |
Tie |
| Out-of-Box Accuracy (No Tuning) | ✓ 88% detection rate OOTB; 2x more accurate than nearest competitor in independent testing |
✓ Mature taint analysis; good OOTB accuracy for SAST; 6,000+ rules |
Tie |
| Reporting & Compliance3 | |||
| Security Dashboard / Analytics | ✓ Risk Register (Critical/High/Medium/Low); AI Assistance for Insights with NL queries; Codebase Insight Agent; per-repo and file-level drill-down |
✓ Centralized dashboard with Quality Gates; Security Hotspot tracking; org-level reporting |
Tie |
| Compliance / Audit Readiness | ~ Audit-ready reporting; policy enforcement evidence; structured finding dismissals with reasons and context |
✓ OWASP 2025, MISRA, STIG V6R3, CASA, CWE compliance; strongest compliance mapping in this class |
Competitor leads |
| SBOM / AI-BOM Generation | ✓ DeepScan generates SBOM; SCA agent provides dependency inventory and license checking (Dependency License Check policy) |
~ Imports CycloneDX and SPDX SBOMs (does not generate them); import capability since 2025.6 |
DryRun leads |
| Architecture & Positioning4 | |||
| 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 |
| API / Extensibility | ✓ DryRun Simple API (REST); Swagger/OpenAPI spec; webhook integrations (Slack + generic); MCP server |
✓ REST API; webhooks; extensive CI/CD integrations; SARIF import/export |
Tie |
| Approach / Category | ℹ Code Security Intelligence: continuous, model-independent layer that understands, evaluates, and enforces code security for both human and AI-generated code; used to benchmark Claude, Codex, and Gemini security (Agentic Coding Security Report, Mar 2026) |
ℹ Developer quality and security platform; Advanced Security (SCA, secrets, IaC) as enterprise add-on; AI CodeFix GA; MCP Server GA |
— |
| Key Structural Differentiator | ℹ Durable knowledge graph + model-independent verification: accumulates proprietary data about code behavior, vuln patterns, and org risk posture; proven benchmarking tool for AI coding agent security (Agentic Coding Security Report, Mar 2026) |
ℹ Most mature code quality + security platform; AI CodeFix is uniquely model-agnostic (Anthropic, Azure OpenAI, custom); strongest compliance mapping (OWASP 2025, MISRA, STIG V6R3) |
— |
| 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 |
— |
| 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) |
— |
| 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) |
— |
| 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) |
— |
Get a personalized demo and see how DryRun compares on your codebase.
Get a Demo