Head-to-Head Comparison

DryRun Security vs ZeroPath

Start with a security requirement your team needs to enforce. This comparison helps you evaluate DryRun and ZeroPath across policy and review workflows. DryRun evaluates natural-language requirements against application context and can fail configured checks that your source-control protections require before merge.

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

11
DryRun Leads
9
Tie
1
ZeroPath Leads
21
Capabilities Compared
Capability DryRun Security ZeroPath Verdict
Detection Categories1
What this tool covers ℹ
PR and repository security review, dependency analysis, secrets analysis and Terraform IaC review. Active-secret verification is attempted where supported. Source 1 · Source 2 · Source 3 · Source 4 · Source 5
ℹ
SAST, SCA, Secrets, IaC. Partial: Container.
—
AI & Intelligence9
AI-Native Architecture ✓
Automated adversarial review combines security agents, application context and deterministic analysis. Source 1 · Source 2
✓
AI-centered analysis combines static candidate discovery with contextual investigation and validation. Source
Tie
Agentic / Multi-Agent System ✓
PR review and repository investigations use specialized security agents and evaluations. Source
✓
Multi-agent scan pipeline
Tie
Natural Language Policies ✓
Natural-language requirements are evaluated against code context; configured findings can fail required source-control checks. Source 1 · Source 2
~
Custom rules can be expressed in plain English; depth and policy enforcement maturity unclear
DryRun leads
Model-Independent Verification ✓
DryRun security evaluation is separate from developer or supported coding-agent repair. Changed code receives fresh review. Source
✗
Findings come from ZeroPath's own pipeline; no model-independent verification step.
DryRun leads
Code Security Knowledge Graph ✓
PR reviews and DeepScan both build and use the DryRun Security Context Graph.
✓
AST call graph with annotations
Tie
Cross-repo Analysis ✓
DryRun looks locally first and, when needed, automatically investigates relevant context, such as authorization logic, across repositories it has permission to access.
✗
—
DryRun leads
Code Security Memory ✓
Retained application context and feedback inform later investigations; changed code receives fresh review. Scanner-excluded candidates and human dismissals are distinct records. Source
✗
—
DryRun leads
Custom DryRun Cyber Models ✓
DryRun reports training and optimizing models for security analysis, including a security-finding classifier. Source 1 · Source 2
✓
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 human- and AI-written code in connected, configured workflows. Source
~
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 ✓
Configured PR findings fail checks; required source-control protections enforce the customer’s merge policy. Source
✓
PR checks can fail above configured thresholds and be required by source-control merge protections. Source
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 ✓
Investigates authorization and business-logic vulnerabilities such as IDOR and tenant-isolation failures. Source
~
Vendor claims 50%+ of critical findings are business logic; unverified
DryRun leads
Git Behavioral Analysis ✓
DeepScan uses Git Behavioral Graphs for churn, temporal coupling, knowledge decay, anomalies and intent analysis. Source
✗
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
~
Maintains branch-aware findings and security-posture reporting. Source 1 · Source 2
DryRun leads
Workflow & Supply Chain2
SCM Support ✓
GitHub and GitLab (native apps with OAuth)
✓
GitHub, GitLab, Bitbucket, Azure DevOps
Tie
SBOM / AI-BOM Generation ✓
Provides dependency SBOMs and an AI-BOM inventory. Source 1 · Source 2
✓
SBOM generation; SCA dependency inventory
Tie
Reporting & Compliance1
Compliance Framework Mapping (SOC 2, PCI, NIST, OWASP, MISRA, STIG) ~
Findings and reporting include CWE/OWASP context and evidence useful to compliance review. Source 1 · Source 2
✓
ZeroPath lists Enterprise policy packs for SOC 2, HIPAA, PCI DSS and GDPR, plus custom compliance reports. Source
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
—

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