{"id":210667,"date":"2026-05-08T03:20:07","date_gmt":"2026-05-08T07:20:07","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/08\/practitioners-guide-to-agentic-ai-security\/"},"modified":"2026-05-08T03:20:10","modified_gmt":"2026-05-08T07:20:10","slug":"practitioners-guide-to-agentic-ai-security","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/05\/08\/practitioners-guide-to-agentic-ai-security\/","title":{"rendered":"Practitioner’s Guide to Agentic AI Security"},"content":{"rendered":"

Practitioner’s Guide to Agentic AI Security<\/a><\/p>\n

https:\/\/www.bleepingcomputer.com\/mgo\/83\/<\/a><\/p>\n

Publish Date: <\/a><\/p>\n

Source Domain: www.bleepingcomputer.com<\/a><\/p>\n

Understanding the Risks and Governance of Agentic AI in Your Organization<\/h3>\n

Agentic AI is already deeply embedded within your organization\u2019s systems, workflows, and tools, often without formal IT or security approval. This guide delineates how this new form of AI differs from previous AI deployments and its implications for your risk profile. It reveals where traditional governance models fall short due to the unique ways agentic AI interacts with your systems. Specifically, it highlights that agentic AI operates autonomously, creating new pathways for unauthorized actions that traditional controls might not guard against. To address these enhanced risks, the article provides four practical steps: building visibility, enforcing least privilege, engaging the workforce, and extending existing security controls to cover autonomous AI agents. This guide is intended for security, IT, and risk leaders looking to preemptively manage the challenges posed by agentic AI and prevent it from becoming a liability.<\/p>\n

Key Points:<\/strong><\/p>\n