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Head-to-Head Comparison

DryRun Security vs Wiz Code

Use the application’s deployment context and security requirements to frame your evaluation of Wiz Code and DryRun. DryRun provides automated adversarial review, retained application context and repair guidance for supported coding agents. Test how configured source-control checks enforce a requirement, then examine the separate review of the repair.

CNAPP Extended into Code — CNAPP/cloud-security platform extended into code via ASPM; strong code-to-cloud graph correlation with native rule-based SAST and public-preview AI SAST and AI/agentic remediation layered on top

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Compare with: Snyk Code Snyk Evo GHAS Claude Security Codex ZeroPath DepthFirst Corgea Aikido Semgrep Sonar Corridor OX Security Qwiet AI Socket Wiz Code
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16
DryRun Leads
5
Tie
0
Wiz Code Leads
21
Capabilities Compared
Capability DryRun Security Wiz Code 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
Wiz lists SAST, SCA/SBOM, secrets, IaC, malware, DSPM-in-code and code/CI posture. Rule-based SAST is listed as GA; AI SAST is public preview for Wiz Code customers. Source 1 · Source 2 · Source 3
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AI & Intelligence9
AI-Native Architecture ✓
Automated adversarial review combines security agents, application context and deterministic analysis. Source 1 · Source 2
 ✗
Core detection is rule/pattern-based ("thousands of curated rules"); AI is a triage and remediation layer bolted on, not an AI-native code-analysis engine.
 DryRun leads
Agentic / Multi-Agent System ✓
PR review and repository investigations use specialized security agents and evaluations. Source
 ~
Wiz describes public-preview AI SAST as Atlas-based agentic security investigation, with Green Agent remediation guidance. Source 1 · Source 2
 DryRun leads
Natural Language Policies ✓
Natural-language requirements are evaluated against code context; configured findings can fail required source-control checks. Source 1 · Source 2
 ✗
Unified policy engine is platform/UI-driven; plain-language interaction exists only via the MCP server for querying, not for policy authoring.
 DryRun leads
Model-Independent Verification ✓
DryRun security evaluation is separate from developer or supported coding-agent repair. Changed code receives fresh review. Source
 ✗
No model-independent verification layer described; AI features are triage and remediation outputs, not verified findings.
 DryRun leads
Code Security Knowledge Graph ✓
PR reviews and DeepScan both build and use the DryRun Security Context Graph.
 ~
Wiz describes code-to-cloud Security Graph context and a code-property graph in Atlas, the research basis of public-preview AI SAST. Source 1 · Source 2
 DryRun leads
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.
 ✗
No cross-repository code analysis stated; correlation happens at the cloud-asset level in the Security Graph, not across code repositories.
 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
 ✗
No code-security memory concept; Green Agent uses historical remediation patterns but this is not stated as a memory feature.
 DryRun leads
Custom DryRun Cyber Models ✓
DryRun reports training and optimizing models for security analysis, including a security-finding classifier. Source 1 · Source 2
 ✗
Not available
 DryRun leads
Multi-model Architecture ✓
Routes each task to the best-fit model rather than relying on a single LLM.
 ✗
No public statement of a multi-model architecture; underlying models for AI features are not disclosed.
 DryRun leads
AI Coding Agent Security6
Securing AI-Generated Code ✓
Reviews human- and AI-written code in connected, configured workflows. Source
 ✓
Wiz documents plugin scans at configured development hooks and remediation guidance. Warnings are the default; optional block mode is described for commits and pushes. Source
 Tie
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
 ✓
Wiz describes an AI-BOM inventory of frameworks, models and IDE extensions, including Gemini Code Assist, GitHub Copilot and Cursor. Source
 Tie
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 specific detection of malicious AI-agent skills; closest capability is general malware scanning in the codebase.
 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
 ✓
Wiz documents MCP security-data queries and Code remediation workflows, including pull-request creation. Account permissions and entitlements apply. Source 1 · Source 2
 Tie
Continuous Enforcement Layer ✓
Configured PR findings fail checks; required source-control protections enforce the customer’s merge policy. Source
 ~
Wiz documents configurable commit/push and repository/CI security controls. Plugin warnings are the default; blocking requires configuration. Source 1 · Source 2
 DryRun leads
Per-Review Economics (predictable vs. usage-metered) ✓
Flat subscription pricing based on team size. Usage pricing applies to DeepScan product.
 ✗
Sold as annual code-license SKU (AWS Marketplace lists ~$58,500 for 100 code licenses / 12 months); no per-review or per-PR pricing.
 DryRun leads
Code Security Intelligence3
Business Logic Flaw Detection ✓
Investigates authorization and business-logic vulnerabilities such as IDOR and tenant-isolation failures. Source
 ✗
No product claim of business-logic flaw detection; findings are CWE- and rule-based with cloud-context prioritization.
 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
 ~
Wiz describes finding retesting and automatic resolution of confirmed fixes across public-preview AI SAST scans. Source
 DryRun leads
Workflow & Supply Chain2
SCM Support ✓
GitHub and GitLab (native apps with OAuth)
 ~
Wiz lists source-code connectors for GitHub, GitLab, Azure DevOps, Bitbucket Cloud and Bitbucket Data Center; scan and PR-feature parity is not established. Source 1 · Source 2
 DryRun leads
SBOM / AI-BOM Generation ✓
Provides dependency SBOMs and an AI-BOM inventory. Source 1 · Source 2
 ✓
Wiz describes software-component SBOMs and an AI-BOM inventory of frameworks, models and IDE extensions. Code-to-cloud coverage depends on the connected products. Source 1 · Source 2 · Source 3
 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
 ~
Documents code/development controls for NIST SSDF and OWASP; broader SOC 2 and PCI coverage belongs to platform cloud frameworks. Source
 Tie
Market Feedback (G2)4
G2 Rating / Review Count ℹ
4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews
 ℹ
No Wiz Code-specific G2 rating or review count is cited here. The parent Wiz rating covers the broader platform. Source 1 · Source 2
 —
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
No Wiz Code-specific G2 praise is cited here. Source 1 · Source 2
 —
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
Matvey N. criticized licensing clarity for both Wiz Cloud and Wiz Code in a parent-Wiz G2 review dated May 22, 2026. Source
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Common G2 Complaint Themes ℹ
UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews)
 ℹ
Parent Wiz feedback is not a Wiz Code-only review sample. Source
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G2 High Performer — SAST Spring 2026