Klocwork
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
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.
Uses machine learning models to analyze HTTP response patterns and differentiate between actual exploitable vulnerabilities and benign server responses.
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
The global tech bootcamp for future-proof career transformation in AI, Coding, and Design.
Graph-based threat modeling and attack surface visualization directly within the DevSecOps lifecycle.
Immutable video provenance through blockchain-anchored hash-on-capture technology.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
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.
Manual pentesting is too slow for weekly release cycles, leading to 'security bottlenecks'.
Registry Updated:2/7/2026
A fintech company has 50+ microservices with evolving APIs that are prone to broken object-level authorization (BOLA).
Need to provide proof of regular security testing for HIPAA and GDPR audits.