DryRun Security vs DepthFirst

Capability	DryRun Security	DepthFirst	Verdict
AI & Intelligence7
AI-Native Architecture	✓ AI-native since 2023; model-independent; multi-agent agentic system (Code Review Agent, DeepScan Agent, Custom Policy Agent, Codebase Insight Agent)	✓ AI-native; proprietary dfs-mini1 model; DeepMind alumni; multi-LLM parallel analysis	Tie
Business Logic Flaw Detection	✓ IDOR, broken auth, multi-tenant isolation, logic flaws, mass assignment, privilege escalation, TOCTOU race conditions, OAuth failures, WebSocket auth bypass; 88% detection OOTB; outperformed 5 leading SAST tools (2025 SAST Accuracy Report)	✓ Core emphasis: reasoning like an expert attacker; IDOR, auth bypass, chained vulns across services	Tie
Contextual / Semantic Code Analysis	✓ Contextual Security Analysis (CSA): data flow, architecture, change history, intent, exploitability; detects issues pattern-based SAST cannot — middleware defined but not mounted, trust boundary misalignment, config not wired up; reads AGENTS.md	✓ Component Graph links code, dependencies, infrastructure; cross-service interactions	Tie
Vulnerability Coverage Breadth	✓ 48+ vulnerability categories: SQLi, XSS, SSRF, IDOR, RCE, auth bypass, CSRF, XXE, path traversal, prompt injection, LLM tool misuse, OAuth failures, TOCTOU, WebSocket auth bypass, and more	✓ Broad: SAST + DAST + SCA coverage; focus on exploitable vulns	Tie
Git Behavioral Analysis	✓ Git Behavioral Graphs: code churn, temporal coupling, knowledge decay, temporal anomalies, intent mining	✗ No dedicated Git behavioral analysis	DryRun leads
Natural Language Policies	✓ Natural Language Code Policies (NLCP); Policy Library with 16+ pre-built policies; Custom Policy Agent enforces on every PR	✗ Not offered. Platform uses AI reasoning, not policy-driven rules.	DryRun leads
False Positive Reduction	✓ 90% lower noise; CSA-driven reasoning; Risk Register dismissal with fingerprinting suppresses FPs in future scans	✓ 85% fewer FPs; dynamic exploit verification ensures only confirmed exploitable findings surface	Tie
AI Coding Agent Security6
Securing AI-Generated Code	✓ Reviews all code equally — human or AI-generated; model-independent verification layer; Agentic Coding Security Report (Mar 2026): 143 issues found across Claude/Codex/Gemini builds, 87% of PRs had vulns	~ Scans AI-generated code like any code; not specifically purpose-built for AI code security	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	✗	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	✗ Not offered.	DryRun leads
AI Coding Tool Integrations	✓ Native integrations: Cursor, Codex, Claude Code, Windsurf, VS Code (via Insights MCP + Add Skill); reviews output of any AI tool via PR workflow	✗ No integrations with Cursor, Copilot, Claude 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	✗	DryRun leads
AI Red Teaming / Threat Modeling	✗	✗	Tie
Code Security Intelligence3
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	✓ Component Graph links code, dependencies, and infrastructure; used across SAST and SCA	Tie
Model-Independent Verification	✓ Separates code generation from code verification; works regardless of which AI model or human generates code	✓ Dynamic exploit execution validates findings independent of the AI model used	Tie
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 analytics; burn-down tracking; time-to-remediate	DryRun leads
Core Detection6
SAST (Static Analysis)	✓ AI-native Contextual Security Analysis engine; agentic multi-agent architecture; works on human and AI-generated code alike	✓ AI-native; proprietary dfs-mini1 model; traces business logic and data flows; 8x more true positives claimed	Tie
DAST (Dynamic Analysis)	✗	✓ Full dynamic testing product: AI agents authenticate, navigate UI/APIs, chain requests for real attack execution	Competitor leads
SCA (Dependency / Supply Chain)	✓ SCA agent with dependency and supply chain analysis; Risk Register tracks SCA findings by severity	✓ Reachability-based SCA through full transitive dependency tree	Tie
Secrets Detection	✓ AI-native secrets analyzer; detects obfuscated secrets (concatenation, base64, logging); hard-coded credentials policy in Policy Library	✓ Validates credentials across codebase, CI/CD, and runtime	Tie
IaC Scanning	✓ IaC scanning (Terraform, YAML, and infrastructure-as-code analysis)	~ Infrastructure scanning claimed; no dedicated product page	DryRun leads
Container Scanning	✗	~ Runtime/DAST container testing context; not standalone image scanning equivalent to Trivy/Grype	Competitor leads
Remediation & Fixes3
Auto-Fix / AI Remediation	✓ Tessl remediation skill for AI coding tools: extracts finding, researches authoritative sources, applies context-grounded fixes in the developer's codebase; co-authored commits; works in Cursor, Claude Code, Codex, VS Code	✓ PR generated for every confirmed vuln; 80% developer acceptance rate	Tie
Fix Verification / Re-testing	✓ Re-runs DryRun Security analysis after remediation is applied to verify the fix resolves the finding	✓ Gold standard: replays attack after every fix merge; vulnerability resolved only when exploitation fails.	Tie
Finding Dismissal & Triage Workflow	✓ Risk Register with structured dismissal: Accepted Risk, False Positive, In Progress, Resolved, Won't Fix / Nitpick; learns risk tolerance of the repo and org from dismissal patterns (nitpicks, FPs, accepted risks); developer dismissal from PR comments (GitHub + GitLab)	~ Finding management with status tracking	DryRun leads
Developer Workflow5
PR / Merge Request Reviews	✓ Every PR; real-time contextual feedback; pass/fail checks; inline explanations; reads AGENTS.md for project context	✓ PR reviews with ready-to-merge fix suggestions via GitHub App	Tie
Full Repository / Deep Scan	✓ DeepScan Agent: full-repo security review in hours; discovers root and nested AGENTS.md for context; findings flow to Risk Register	✓ Full-repo deep analysis with proprietary dfs-mini1 model	Tie
IDE Integration	✓ DryRun Insights MCP integrates with VS Code, Cursor, Windsurf, Claude Code, and Codex for security-aware coding assistance	✗ Not offered. Operates via GitHub App and PR-based workflow.	DryRun leads
CI/CD Integration	✓ GitHub and GitLab native integration; webhook notifications (Slack + generic)	✓ CI/CD integration via GitHub App; PR-triggered scanning	Tie
SCM Support	GitHub and GitLab (native apps with OAuth)	GitHub (primary); limited other SCM support	Tie
Coverage2
Language Support	✓ 15+ languages optimized: Python, JS/TS, Ruby, Go, C#, Java, Kotlin, PHP, Swift, Elixir, HTML, IaC (Terraform, YAML)	~ Not explicitly listed. Inferred from customers: Go, Ruby, JS, TS, Python, Solidity.	DryRun leads
Out-of-Box Accuracy (No Tuning)	✓ 88% detection rate OOTB; 2x more accurate than nearest competitor in independent testing	~ Improves over time with adaptive learning; no published OOTB accuracy figure	DryRun leads
Reporting & Compliance3
Security Dashboard / Analytics	✓ Risk Register (Critical/High/Medium/Low); AI Assistance for Insights with NL queries; Codebase Insight Agent; per-repo and file-level drill-down	✓ Security analytics; burn-down; time-to-remediate	Tie
Compliance / Audit Readiness	~ Audit-ready reporting; policy enforcement evidence; structured finding dismissals with reasons and context	✗ Limited compliance features	DryRun leads
SBOM / AI-BOM Generation	✓ DeepScan generates SBOM; SCA agent provides dependency inventory and license checking (Dependency License Check policy)	✗ Not offered.	DryRun leads
Architecture & Positioning4
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 system; autonomous security scanning; dfs-mini1 proprietary model	Tie
API / Extensibility	✓ DryRun Simple API (REST); Swagger/OpenAPI spec; webhook integrations (Slack + generic); MCP server	✗	DryRun leads
Approach / Category	ℹ Code Security Intelligence: continuous, model-independent layer that understands, evaluates, and enforces code security for both human and AI-generated code; used to benchmark Claude, Codex, and Gemini security (Agentic Coding Security Report, Mar 2026)	ℹ Autonomous AI Security: AI-native SAST + DAST + Auto-Fix with dynamic verification ($120M raised; $40M Series A + $80M Series B in <90 days)	—
Key Structural Differentiator	ℹ Durable knowledge graph + model-independent verification: accumulates proprietary data about code behavior, vuln patterns, and org risk posture; proven benchmarking tool for AI coding agent security (Agentic Coding Security Report, Mar 2026)	ℹ Only product with DAST exploit verification built into SAST workflow; gold-standard fix verification via dynamic replay; $120M raised in <90 days	—
Market Feedback (G2)4
G2 Rating / Review Count	ℹ 4.9/5 (19 reviews) — g2.com/products/dryrun-security/reviews	ℹ No G2 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 No G2 reviews available	—
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 No G2 reviews available	—
Common G2 Complaint Themes	ℹ UI/portal speed; desire for more analyzer customization (g2.com/products/dryrun-security/reviews)	ℹ Too new for G2 feedback	—

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