Practical AI Security: LLMs & Agentic AI

Artificial Intelligence is transforming cybersecurity, but it also creates completely new attack surfaces. In this comprehensive masterclass, expert Avnish Naithani breaks down the entire AI ecosystem, moving beyond basic ChatGPT conversations to address critical vulnerabilities across Machine Learning, LLMs, autonomous Agentic AI, and enterprise governance.

The "course titled" Practical AI Security Engineering Program provides hands-on expertise to secure your AI pipelines.

📘 What You’ll Learn:

• Demystifying the AI Ecosystem: Understanding structural differences between predictive ML, deep neural networks, generative LLMs, and autonomous Agentic AI.

• Why AI Systems Are Unique: Identifying distinct operational risk surfaces where traditional IT firewalls and perimeter controls fall short.

• Exploiting ML & Agentic Vulnerabilities: Real-world breakdowns of prompt injection vectors, model inversion, data poisoning, and agent manipulation.

• Advanced Defensive Controls: Implementing secure data pipelines, runtime model monitoring, input sanitation, and robust guardrails.

• Governance & Regulatory Alignment: Navigating compliance frameworks to ensure continuous transparency, auditability, and responsible deployment.

  
  

🎧 Essential listening for security engineers, SOC analysts, penetration testers, cloud architects, and GRC specialists building modern AI defenses.

Watch full video here: https://www.youtube.com/watch?v=PkUQS3xs-Ho