{"description":"Trending threats, MITRE ATT\u0026CK coverage, and detection metadata. Fed continuously.","favicon":"https://feed.craftedsignal.io/favicon-32x32.png","feed_url":"https://feed.craftedsignal.io/tags/agentic-security/feed.json","home_page_url":"https://feed.craftedsignal.io/","icon":"https://feed.craftedsignal.io/apple-touch-icon.png","items":[{"_cs_actors":[],"_cs_cpes":[],"_cs_cves":[],"_cs_exploited":false,"_cs_has_poc":false,"_cs_poc_references":[],"_cs_products":[],"_cs_severities":["medium"],"_cs_tags":["ai","shadow-ai","agentic-security","endpoint-security","cloud-security"],"_cs_type":"advisory","_cs_vendors":[],"content_html":"\u003cp\u003eCrowdStrike is releasing new capabilities within its Falcon platform aimed at securing AI agents and governing shadow AI usage across various environments including endpoints, SaaS, and cloud. This initiative responds to the growing attack surface presented by the increasing adoption of AI tools, AI agents, and AI-powered software within organizations. Specific threats targeted include indirect prompt injection and agentic tool chain attacks. The Falcon platform enhancements aim to mitigate the risks associated with employees adopting AI tools without proper oversight and engineering teams deploying models and agents without sufficient visibility and runtime protection. These new features extend AI detection and response (AIDR) capabilities across new surface areas and expand platform capabilities to secure AI workforce adoption and development.\u003c/p\u003e\n\u003ch2 id=\"attack-chain\"\u003eAttack Chain\u003c/h2\u003e\n\u003col\u003e\n\u003cli\u003e\u003cstrong\u003eInitial Access:\u003c/strong\u003e An employee or developer downloads and installs an AI application (e.g., ChatGPT, Gemini, Claude, DeepSeek, Microsoft Copilot, O365 Copilot, GitHub Copilot, or Cursor) on their endpoint.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eAgent Deployment:\u003c/strong\u003e The AI application deploys an agentic component that interacts with the system, network, and other applications.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003ePrompt Injection:\u003c/strong\u003e An attacker injects malicious prompts into the AI application through user input or data feeds.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003ePrivilege Escalation:\u003c/strong\u003e The injected prompts exploit vulnerabilities in the AI application or agent, allowing the attacker to escalate privileges.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eData Exfiltration:\u003c/strong\u003e The attacker leverages the compromised AI agent to access sensitive data and exfiltrate it to an external location.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003eLateral Movement:\u003c/strong\u003e The attacker uses the compromised AI agent to move laterally within the network, accessing other systems and data.\u003c/li\u003e\n\u003cli\u003e\u003cstrong\u003ePolicy Violation:\u003c/strong\u003e The compromised AI agent violates security policies, such as accessing restricted resources or performing unauthorized actions.\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2 id=\"impact\"\u003eImpact\u003c/h2\u003e\n\u003cp\u003eSuccessful attacks targeting AI agents and shadow AI can result in significant data breaches, financial losses, and reputational damage. Compromised AI agents can be used to exfiltrate sensitive data, disrupt business operations, and launch further attacks against internal and external systems. The lack of visibility and governance over shadow AI deployments exacerbates these risks, making it difficult to detect and respond to attacks effectively. The scope of impact is growing with every new AI tool deployment and adoption.\u003c/p\u003e\n\u003ch2 id=\"recommendation\"\u003eRecommendation\u003c/h2\u003e\n\u003cul\u003e\n\u003cli\u003eDeploy the Sigma rule for detecting AI application installation to identify potential shadow AI deployments on endpoints.\u003c/li\u003e\n\u003cli\u003eEnable the Falcon AIDR browser extension to gain visibility into employee interactions with AI applications and detect prompt attacks and data leaks.\u003c/li\u003e\n\u003cli\u003eUtilize CrowdStrike Falcon Exposure Management to discover AI-related components running across endpoints and assess their risk.\u003c/li\u003e\n\u003cli\u003eMonitor network traffic for unusual activity originating from AI applications or agents.\u003c/li\u003e\n\u003cli\u003eImplement strong access control policies and data loss prevention (DLP) measures to prevent data exfiltration via compromised AI agents.\u003c/li\u003e\n\u003c/ul\u003e\n","date_modified":"2026-03-28T09:13:21Z","date_published":"2026-03-28T09:13:21Z","id":"https://feed.craftedsignal.io/briefs/2026-03-28-ai-security/","summary":"CrowdStrike is enhancing its Falcon platform to secure AI agents and govern shadow AI across endpoints, SaaS, and cloud environments, addressing threats like prompt injection attacks, data leaks, and policy violations associated with personal AI agents and shadow AI adoption.","title":"CrowdStrike Falcon Enhancements for AI Agent and Shadow AI Security","url":"https://feed.craftedsignal.io/briefs/2026-03-28-ai-security/"}],"language":"en","title":"CraftedSignal Threat Feed - Agentic-Security","version":"https://jsonfeed.org/version/1.1"}