Large language models changed how people interact with technology. To use them securely, teams need to understand how they work and where new risks can emerge. In this video we explain the fundamentals behind LLMs, foundation models, small language models, domain language models, and transformer models. Learn how generative AI systems predict the next word, why LLMs are language experts rather than domain experts, and how context helped make conversational AI possible. As organizations adopt generative AI across the enterprise, security teams need visibility and control across risks such as inaccurate outputs, shadow AI usage, prompt injection, data exposure, and agent manipulation. Understanding how generative AI works is an important first step toward securing it. CrowdStrike Falcon® AI Detection and Response helps organizations gain visibility into AI use and protect AI applications, agents, prompts, and enterprise data as adoption expands. 🛡️ CrowdStrike AI Security Hub Explore CrowdStrike resources for understanding & securing generative AI adoption across the enterprise: https://cs.link/urLra 📣 Connect With Us: ► X: https://twitter.com/CrowdStrike ► Instagram: https://www.instagram.com/crowdstrike ► LinkedIn: https://www.linkedin.com/company/crowdstrike 🔔 Subscribe to stay updated! #CrowdStrike #Cybersecurity #AISecurity101

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