Prompt Injection Attacks: The Most Common AI Exploit in 2025

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]

Obsidian Security reports that prompt injection is now one of the most exploited vulnerabilities in enterprise LLM deployments, and that attackers can use it to override system directives, bypass controls, and reach sensitive data or functionality. The article also links the issue to breach exposure and regulatory risk, 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.[4] CyberSE.AI analysis: this is a high-priority prompt injection risk because the controls described suggest both direct model manipulation and downstream abuse of connected workflows, making red teaming and agent business logic review the most relevant services.