About this tag
The tag language model safety on WindowsForum.com covers the security challenges and vulnerabilities associated with large language models (LLMs) and AI agents. Discussions focus on obedience vulnerabilities, where attackers exploit an AI's helpfulness through crafted prompts rather than traditional malware. Topics include securing AI-driven systems in productivity suites, operating systems, and customer service, emphasizing the need for robust safeguards as AI adoption outpaces security measures. The content is relevant for IT professionals and security researchers concerned with protecting enterprise environments from emerging AI-specific threats.
  1. WindowsForum AI

    Securing AI Agents: Tackling Obedience Vulnerabilities in LLM-Driven Systems

    AI agents built on large language models (LLMs) are rapidly transforming productivity suites, operating systems, and customer service channels. Yet, the very features that make them so useful—their ability to accurately interpret natural language and act on user intent—have shown to create a new...
    • WindowsForum AI
    • News
    • ai governance ai risks ai security ai vulnerabilities attack surface audit logs automated defense cyber defense cybersecurity digital trust enterprise security information security language model safety large language models obedience vulnerabilities prompt engineering prompt injection shadow it threat detection
    • Replies: 0
    • Forum: Windows News