Head-to-Head Comparison
AI-native AppSec — AI-native AppSec platform combining SAST, SCA, Secrets, and IaC scanning
| Capability | DryRun Security | ZeroPath | Verdict |
|---|---|---|---|
| Detection Categories1 | |||
| What this tool covers | ℹ SAST, PR Reviews, SCA, Secrets, IaC. |
ℹ SAST, SCA, Secrets, IaC. 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. |
✓ LLM + AST engine. Positioning is AI-native from the ground up. |
Tie |
| Agentic / Multi-Agent System | ✓ Code Review Agent, Custom Policy Agent, DeepScan Agent, Codebase Insight Agent + specialized sub-agents; AGENTS.md support (Linux Foundation) |
✓ Multi-agent scan pipeline |
Tie |
| Natural Language Policies | ✓ Natural Language Code Policies (NLCP); Policy Library with 16+ pre-built policies; Custom Policy Agent enforces on every PR |
~ Custom rules can be expressed in plain English; depth and policy enforcement maturity unclear |
DryRun leads |
| Model-Independent Verification | ✓ Separates code generation from code verification; works regardless of which AI model or human generates code |
✗ Findings come from ZeroPath's own pipeline; no model-independent verification step. |
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 |
✓ AST call graph with annotations |
Tie |
| 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. |
✓ Custom LLMs trained on real vulnerabilities; AST + LLM hybrid |
Tie |
| 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. |
~ Positioned for AI-generated code review; scope is scanning output, not live guardrails. |
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 |
✗ Findings dashboard only; no AI-coding observability product. |
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 |
✓ Open-source MCP server (2025) |
Tie |
| Continuous Enforcement Layer | ✓ Runs on every PR automatically. Policies enforced at the merge gate. Always on — not invoked per-task. |
✓ Continuous scanning across commits. |
Tie |
| Per-Review Economics (predictable vs. usage-metered) | ✓ Flat subscription pricing based on team size. Usage pricing applies to DeepScan product. |
✓ Subscription pricing. |
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. |
~ Vendor claims 50%+ of critical findings are business logic; unverified |
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 |
~ Risk management view; continuous monitoring across 300K+ scans/month |
DryRun leads |
| 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. |
✓ SBOM generation; SCA dependency inventory |
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. |
✓ Compliance reports across SOC 2, HIPAA, PCI. |
Competitor leads |
| Market Feedback (G2)4 | |||
| G2 Rating / Review Count | ℹ 4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews |
ℹ 4.5/5 (11 reviews) — g2.com/products/zeropath/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 "Finds serious security vulnerabilities including business logic bugs that other scanners miss." — Yaacov T., CTO, Small-Business (g2.com/products/zeropath/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 "UI keeps changing very fast since the product is changing rapidly." — Manisha A., Relationship Manager, Small-Business (g2.com/products/zeropath/reviews) |
— |
| Common G2 Complaint Themes | ℹ UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews) |
ℹ No G2 reviews to cite — zero public customer validation on G2 despite claiming enterprise customers |
— |
Get a personalized demo and see how DryRun compares on your codebase.
Get a Demo