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language model safety
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.
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...
ai governance
ai risks
ai security
ai vulnerabilities
attack surface
audit logs
automated defense
cyber defense
cybersecurity
digital trust
enterprise security
information security
languagemodelsafety
large languagemodels
obedience vulnerabilities
prompt engineering
prompt injection
shadow it
threat detection