Executive Summary
Obsidian Security says prompt injection is among the most exploited enterprise LLM vulnerabilities and recommends monitoring, SIEM/SOAR integration, input validation, output filtering and least privilege.
What Happened
Obsidian Security reports that prompt injection has become one of the most exploited vulnerabilities in enterprise LLM deployments, enabling attackers to override system directives, bypass controls, and access sensitive data or functionality.[4] The blog connects prompt injection to major data breaches and regulatory exposure, and recommends behavioral monitoring, SIEM/SOAR integration, semantic input validation, output filtering, least-privilege for AI agents, and alignment with NIST AI RMF and ISO 42001 requirements for managing semantic attack vectors.[4]
Vulnerability / Attack Technique
Prompt injection (overview)
Technical Mechanism
An overview with recommended controls.
AI Security Category
LLM01:2025 Prompt Injection
Part of the Prompt Injection topic.
Relevant Frameworks
RealGround Analysis
Feed AI activity into existing monitoring. RealGround analysis: AI events belong in the SIEM.
Recommended Controls
- Send AI agent logs to the SIEM
Related RealGround Service
AI Security Readiness Assessment · or start with the free AI Agent Security Scanner.
Sources
Obsidian Security: https://www.obsidiansecurity.com/blog/prompt-injection
Summary and analysis written by RealGround from the source above; last updated 2026-10-18.