Head-to-Head Comparison
Native GitHub Security — GitHub-native SAST + SCA + Secrets via CodeQL, Dependabot, and Secret Scanning
| Capability | DryRun Security | GHAS | Verdict |
|---|---|---|---|
| Detection Categories1 | |||
| What this tool covers | ℹ SAST, PR Reviews, SCA, Secrets, IaC. |
ℹ SAST, SCA, Secrets. Partial: Container. |
— |
| 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. |
~ CodeQL is rule-based; Copilot Autofix adds LLM-based fix suggestions 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 engine (CodeQL) |
DryRun leads |
| Natural Language Policies | ✓ Natural Language Code Policies (NLCP); Policy Library with 16+ pre-built policies; Custom Policy Agent enforces on every PR |
✗ Policies configured via CodeQL query packs and YAML workflow files, not natural language. |
DryRun leads |
| Model-Independent Verification | ✓ Separates code generation from code verification; works regardless of which AI model or human generates code |
✗ CodeQL output is the final finding; Copilot Autofix does not verify independently. |
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; CodeQL databases are per-repo snapshots. |
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 via CodeQL rule packs. Same engine for human and AI-authored code. |
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 |
✗ Security Overview shows CodeQL alerts but no AI-code-specific visibility. |
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 |
✗ GHAS has no MCP server. |
DryRun leads |
| Continuous Enforcement Layer | ✓ Runs on every PR automatically. Policies enforced at the merge gate. Always on — not invoked per-task. |
✓ Scheduled + PR-triggered scans via GitHub Actions. |
Tie |
| Per-Review Economics (predictable vs. usage-metered) | ✓ Flat subscription pricing based on team size. Usage pricing applies to DeepScan product. |
~ Per-committer pricing on Team and Enterprise plans. Code Security $30/committer/month + Secret Protection $19/committer/month = $49 combined. |
DryRun leads |
| 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. |
✗ Limited to CodeQL query coverage |
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 |
~ Security Overview trending across organization |
DryRun leads |
| Workflow & Supply Chain2 | |||
| SCM Support | ✓ GitHub and GitLab (native apps with OAuth) |
✓ GitHub native; Azure DevOps add-on |
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. |
✓ Native SPDX 2.3 dependency-graph export from the GitHub dependency graph. Real SBOM in a standard format. |
Tie |
| 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. |
~ CodeQL suites mapped to CWE; SOC 2 / compliance reporting lighter. |
Tie |
| Market Feedback (G2)4 | |||
| G2 Rating / Review Count | ℹ 4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews |
ℹ No dedicated G2 page for GHAS / CodeQL |
— |
| 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 "Very reliable source code management platform" — praise focused on GitHub platform, not GHAS specifically (g2.com/products/github/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 "GitHub Advanced Security and Codespaces are billed as separate, expensive add-ons. For a mid-sized organization, managing these fragmented costs can be a complex headache." (g2.com/products/github/reviews) |
— |
| Common G2 Complaint Themes | ℹ UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews) |
ℹ Expensive add-on pricing; noisy notifications; cost management complexity (g2.com/products/github/reviews) |
— |
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