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features
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support

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Description

DryRun Security is an AI Native SAST and Agentic Code Security engine built to improve application security without burying teams in alerts. Traditional SAST flags patterns. DryRun Security adds context. Our proprietary Contextual Security Analysis engine reasons about code intent, exploitability, and impact, so AppSec focuses on what matters. In pull requests, the Code Review Agent posts PR comments and checks within moments of a push, with guidance developers can act on immediately. It uses specialized analyzers for common vulnerability classes like XSS, SQL injection, SSRF, IDOR, mass assignment, and secrets. For guardrails that match your environment, teams write Natural Language Code Policies in plain English and the Custom Policy Agent enforces them on every PR. When you need a deeper read, DeepScan Agent produces a prioritized full-repo report in about an hour, surfacing complex logic, authentication and authorization flaws, secrets exposure, and business-risk vulnerabilities. Code Insights Agent helps teams see trends across repos and produce audit-ready reporting faster. DryRun Security is designed for GitHub and GitLab permissioned workflows. It protects security with private LLM capabilities, avoids sending code to public AI systems, processes with ephemeral services, and retains only findings and minimal metadata for reporting.

Description

Mindgard is an automated AI red teaming and offensive security platform purpose-built for AI systems and agents. It continuously red teams models, agents, and applications to find the vulnerabilities most likely to cause a breach, validates whether guardrails and controls hold, and shows security and engineering teams how to close each gap. Tests emulate real attacker behavior across prompt injection, jailbreaks, data extraction, poisoning, and agentic tool abuse, with findings mapped to OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, and the EU AI Act. Mindgard cuts AI risk assessment from weeks to hours and supports continuous compliance as AI systems change. Modules: AI Discovery & Recon, AI Red Teaming, AI Assessment, AI Runtime Protection, Model Scanning, AI Governance & Compliance.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Claude Desktop Yes 
Codex CLI Yes 
Cursor Yes 
Express Yes 
GitHub Yes 
GitLab Yes 
Go Yes 
JavaScript Yes 
Next.js Yes 
Node.js Yes 
OpenAI Codex Yes 
Python Yes 
Ruby on Rails Yes 
Slack Yes 

Integrations

Claude Code No 
Claude Desktop No 
Codex CLI No 
Cursor No 
Express No 
GitHub No 
GitLab No 
Go No 
JavaScript No 
Next.js No 
Node.js No 
OpenAI Codex No 
Python No 
Ruby on Rails No 
Slack No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Free
Test drive the Mindgard AI Security Labs platform in our controlled, sandbox environment — Zero commitments.
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

DryRun Security

Founded

2023

Country

United States

Website

www.dryrun.security/

Vendor Details

Company Name

Mindgard

Founded

2022

Country

United Kindom

Website

mindgard.ai/

Product Features

Cybersecurity

AI / Machine Learning Yes 
Behavioral Analytics No 
Endpoint Management No 
IOC Verification No 
Incident Management No 
Tokenization No 
Vulnerability Scanning Yes 
Whitelisting / Blacklisting No 

Alternatives

Alternatives

Bugbot Reviews

Bugbot

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