{
  "id": 3807186,
  "title": "Sonar AI Agent Discovers Vulnerabilities Hidden in Business Logic Workflows",
  "url": "https://urgent.news/2026/08/27/sonar-ai-agent-discovers-vulnerabilities-hidden-in-business-logic",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-27T19:42:49.000Z",
  "source": {
    "name": "DevOps.com",
    "slug": "devops-com",
    "url": "https://devops.com/sonar-ai-agent-discovers-vulnerabilities-hidden-in-business-logic-workflows/"
  },
  "original_language": "en",
  "account": "Sonar has launched an AI-powered tool called the Hunter Agent, designed to uncover vulnerabilities within business logic workflows. This innovative technology first examines an entire codebase to identify three types of flaws: broken access control, business logic vulnerabilities, and authentication or session management issues. Traditionally, detecting these problems required manual testing or a penetration test, but the AI agent simplifies the process by automatically tracing how code and data navigate through a system.\n\nThe SonarQube Hunter Agent goes a step further by identifying the developer who authored any piece of code, ensuring that verified issues are integrated into DevSecOps workflows through connections with continuous integration/continuous delivery (CI/CD) platforms. This real-time identification capability is crucial as cybercriminals can now exploit vulnerabilities within hours, making it essential for DevSecOps teams to act at machine speed rather than waiting for legacy scanning tools. Khasriya emphasized that deterministic scanning tools are effective for finding flaws that are visibly incorrect, such as injection vulnerabilities or unsafe data flows, but many vulnerabilities are only apparent when the code's intended functionality is understood. For instance, a privilege escalation issue becomes evident only when the code's operation is comprehended.\n\nAs the threat landscape evolves, it is increasingly vital to detect and verify issues as early as possible in the software development lifecycle. Every line of code now represents part of the attack surface that DevSecOps teams must protect. However, the rapid pace of code creation is overwhelming existing DevSecOps workflows, making it clear that teams must adapt these processes sooner rather than later. Historically, developers might have allocated only a few hours each month to create patches, but those patches were often not deployed for months, leaving organizations vulnerable. Today, the threat of exploitation can surpass the time needed for patching. DevSecOps teams are simultaneously tasked with eliminating vulnerabilities in new code while also addressing the substantial technical debt accumulated over decades. The software engineering community will need to deploy patches in near real-time as swiftly as possible, assuming the patch itself is free of malware. While it is hoped that organizations will allocate resources to safely deploy applications in the AI era, preparation for the worst is advisable in the meantime.",
  "summary": "Sonar today made available an artificial intelligence (AI) agent designed to discover vulnerabilities and business logic flaws that pose the greatest risk to an organization should they be exploited. The SonarQube Hunter Agent first analyzes an entire codebase to find three categories of flaws: broken access control, business-logic vulnerabilities, and authentication or session-management issues.…",
  "key_points": [
    "Sonar launches AI-powered Hunter Agent to detect business logic vulnerabilities.",
    "Agent identifies broken access control, logic flaws, and auth/session management issues.",
    "Integrates verified issues into CI/CD workflows for real-time DevSecOps protection."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}