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Head-to-Head Comparison

DryRun Security vs ZeroPath

AI-native AppSec — AI-native AppSec platform combining SAST, SCA, Secrets, and IaC scanning

Compare with: Snyk Code Snyk Evo GHAS Claude Code Codex Veracode ZeroPath DepthFirst Corgea Aikido Semgrep Sonar Corridor OX Security Qwiet AI Socket
11
DryRun Leads
9
Tie
1
ZeroPath Leads
21
Capabilities Compared
Capability DryRun Security ZeroPath Verdict
Detection Categories1
What this tool covers
SAST, PR Reviews, SCA, Secrets, IaC.
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
4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews
4.5/5 (11 reviews) — g2.com/products/zeropath/reviews
Notable G2 Praise (Attributed)
"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)
"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 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)
"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
UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews)
No G2 reviews to cite — zero public customer validation on G2 despite claiming enterprise customers

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