aicoolies logo
DryRun Security logo
DryRun Security logo

DryRun Security

AI-native SAST with contextual security analysis

paidupdated Apr 21, 2026

DryRun Security is an AI-native SAST platform using Contextual Security Analysis to reason about code behavior, data flow, and exploitability instead of regex pattern matching. It provides PR-native security reviews on GitHub and GitLab, catching logic flaws, broken auth, IDOR, and injection bugs that legacy scanners miss while cutting 90% of noise. Features Natural Language Code Policies, DeepScan for full-repo audits, and a Risk Register for org-wide visibility. Supports 14+ languages.

DryRun Security is the industry's first AI-native, agentic code security intelligence solution. Powered by its proprietary Contextual Security Analysis (CSA) engine, it goes beyond traditional pattern-matching SAST tools to reason about how code actually behaves, catching logic flaws, authorization gaps, IDOR, and other high-impact risks that last-generation scanners consistently miss.

The CSA engine inspects data flow across files and services, analyzing authentication, authorization, sensitive codepaths, developer intent, and code brittleness. Instead of flagging every suspicious pattern, it reasons about exploitability and impact in context, which dramatically reduces false positives. Each dismissal is logged and fed back so scans get progressively calibrated to your codebase over time.

PR Code Reviews provide real-time security feedback directly in GitHub and GitLab pull requests before code merges. The platform covers OWASP Top 10, classic vulnerabilities, emerging research, IDOR, auth issues, and logic flaws with clear code-aware explanations. Natural Language Code Policies let AppSec teams define custom security requirements in plain English, enforced automatically on every PR.

The DeepScan Agent turns full-repository security reviews from a multi-week process into an on-demand assessment in about an hour, delivering a prioritized high-signal report. Teams typically run DeepScans per production repo on a monthly or quarterly cadence, at key release checkpoints, or after major architectural changes.

Risk Register brings PR scans and DeepScans together into one place to track, understand, and prioritize risk across the entire organization. Security teams can ask natural-language questions and get contextual answers about risk, trends, and exposure across repositories.

The platform supports Python, Java, JavaScript, TypeScript, C++, C#, Go, Rust, Swift, PHP, Ruby, Kotlin, Scala, and COBOL. It integrates with AI coding tools like Claude Code, Cursor, and Codex, as well as GitHub, GitLab, and team communication platforms. Trusted with over 250,000 code reviews monthly.

Pricing

Custom pricing / Free DeepScan trial

Platforms

GitHub, GitLab, Claude Code, Cursor

Categories

Tags

Use Cases

Related Tools

computed discovery: shared active categories · kept separate from editor-verified Alternatives

ToolHive mascot logo

ToolHive

Run and govern MCP servers across desktop, CLI and Kubernetes

Open-source MCP runtime and governance platform that runs servers in isolated containers, curates registries, enforces access policies, and operates gateways across desktop, CLI, and Kubernetes.

Open Source
Anamorpher parent Trail of Bits mark

Anamorpher

Craft image-scaling prompt-injection payloads to red-team multimodal AI systems

Open-source red-team toolkit from Trail of Bits that generates image-scaling attack payloads — images that look benign at full resolution but reveal a hidden prompt injection after a multimodal system downsamples them.

freeOpen Source
cai

CAI (Cybersecurity AI)

AI agent framework for offensive security and penetration testing

Alias Robotics' agent framework for building AI-driven offensive-security workflows — reconnaissance, exploitation, privilege escalation, and lateral movement — with multi-agent handoffs and human-in-the-loop control. Source-available, but the core is licensed for non-commercial research use only.

freemiumTelemetry
MEDUSA logo

MEDUSA

AI-first security scanner for LLM, agent, MCP, and RAG codebases

MEDUSA is an AGPL-3.0 AI-first security scanner from Pantheon Security that checks AI and machine-learning applications, LLM agents, MCP workflows, RAG pipelines, repository-poisoning risks, secrets, and agent-specific compromise patterns.

Open Source
iFixAi logo

iFixAi

Open-source diagnostic for AI operational misalignment

iFixAi is an Apache-2.0 diagnostic tool for scoring AI agents and models against operational-misalignment risks such as hallucination, manipulation, sabotage, sandbagging, and oversight evasion.

Open Source
Inspect AI parent UK AISI mark

Inspect AI

UK AI Security Institute framework for LLM safety evaluations

Inspect AI is an MIT-licensed framework from the UK AI Security Institute for running large language model evaluations, including tool use, multi-turn dialogue, model-graded scoring, and reusable evaluation tasks.

Open Source

FAQ

What is DryRun Security?

DryRun Security is an AI-native SAST platform using Contextual Security Analysis to reason about code behavior, data flow, and exploitability instead of regex pattern matching. It provides PR-native security reviews on GitHub and GitLab, catching logic flaws, broken auth, IDOR, and injection bugs that legacy scanners miss while cutting 90% of noise. Features Natural Language Code Policies, DeepScan for full-repo audits, and a Risk Register for org-wide visibility. Supports 14+ languages.

Is DryRun Security free?

No — DryRun Security is a paid tool. Custom pricing / Free DeepScan trial

What are the best DryRun Security alternatives?

The top editor-verified DryRun Security alternatives are Shannon, DeepTeam, MCP-Scan.