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Enterprise AI Security Risks: Managing LLM, Shadow AI, and Agentic Threats

Published 2026-04-09AI Regulation and GovernanceHigh⭐ Timeline Candidate

Summary

This article from Security Boulevard and FireTail addresses the growing enterprise security challenges posed by large language models, shadow AI usage, and agentic AI systems. The piece covers how organizations are grappling with unauthorized AI tool adoption (shadow AI), vulnerabilities introduced by LLM integrations, and the emerging attack surface created by autonomous agentic workflows that can take actions on behalf of users. The convergence of these three threat vectors — LLM exploitation

Alignment: Reinforces current position
Related Positions: ai-governance-and-risk.md, agentic-workflows.md, enterprise-ai-delivery.md
ai-securityshadow-aillm-vulnerabilitiesagentic-threatsenterprise-governanceprompt-injectionai-risk-managementdata-leakageai-compliance
Enterprise AI Security Risks: Managing LLM, Shadow AI, and Agentic Threats — Intelligence — Agentic Developer Tools Radar · Signal