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The native CI/CD powerhouse for Atlassian-driven engineering teams.

AI-powered automated penetration testing to secure web applications and APIs.

Beagle Security is a sophisticated AI-driven Dynamic Application Security Testing (DAST) platform designed to integrate seamlessly into modern DevSecOps workflows. Its technical architecture centers around an autonomous penetration testing engine that moves beyond static signature matching, utilizing machine learning to understand application logic and identify complex vulnerabilities such as IDOR, SQL injection, and Cross-Site Scripting (XSS). Positioned for the 2026 market, Beagle Security addresses the rapid expansion of API-first architectures and the need for continuous security validation in CI/CD pipelines. The platform's AI engine significantly reduces the noise typical of legacy scanners by contextually verifying vulnerabilities before reporting them, effectively lowering false positive rates to under 2%. For AI Solutions Architects, it represents a critical layer in the secure software development lifecycle (SDLC), providing automated remediation guidance that bridges the gap between security discovery and developer resolution. It supports a wide array of frameworks and provides deep-link integration into task management systems like Jira and Slack, ensuring that security is a continuous process rather than a periodic audit.
Beagle Security is a sophisticated AI-driven Dynamic Application Security Testing (DAST) platform designed to integrate seamlessly into modern DevSecOps workflows.
Explore all tools that specialize in vulnerability scanning. This domain focus ensures Beagle Security delivers optimized results for this specific requirement.
Uses machine learning models to analyze HTTP response patterns and differentiate between actual exploitable vulnerabilities and benign server responses.
The engine dynamically adjusts its attack payloads based on the technology stack detected (e.g., specific payloads for Node.js vs PHP).
Utilizes a Chromium-based crawler to navigate Single Page Applications (SPAs) and execute JavaScript to find hidden endpoints.
Automatically explores GraphQL schemas to identify unauthorized query access and depth-limit vulnerabilities.
Native plugins for Jenkins, Bamboo, and GitLab that can trigger builds to fail if a vulnerability above a specific severity is detected.
A comprehensive database linked to scan results providing code-level fixes and configuration hardening guides.
Supports parallel scanning of staging, UAT, and production environments with environment-specific configurations.
Sign up and create a workspace on the Beagle Security platform.
Add your application URL or upload an API documentation file (Swagger/OpenAPI).
Verify domain ownership using either Meta Tag, File Upload, or DNS TXT record method.
Configure the 'Beagle Agent' if your application is behind a firewall or in a local environment.
Define the scan profile, selecting between 'Quick', 'Standard', or 'Deep' inspection modes.
Set up authentication parameters (Login credentials or Header tokens) for authenticated scanning.
Integrate with CI/CD tools using the provided API Key and environment variables.
Execute the initial baseline scan to identify existing vulnerabilities.
Configure notifications for Slack or Email to receive real-time alerts upon scan completion.
Review the AI-prioritized remediation list and assign tasks to developers via Jira/Azure DevOps.
All Set
Ready to go
Verified feedback from other users.
"Users consistently praise the tool for its low false-positive rate and the high quality of its remediation advice, though some note that deep scans can be resource-intensive on dev servers."
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The native CI/CD powerhouse for Atlassian-driven engineering teams.

The enterprise-enabled dynamic web vulnerability scanner.

Unified DevSecOps platform for lean teams that consolidates 10+ security tools into one no-noise dashboard.

AI-powered IT & Security platform that automates workflows and provides insights.

Deep recursive binary analysis and universal software composition analysis for the modern DevSecOps pipeline.

Automated testing that finds & fixes AI risk in development.

Human-led, AI-powered MDR that finds what matters, and filters out what doesn’t.

A comprehensive platform for managing and securing the software supply chain, from code to cloud.