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Modern AI systems require more than powerful models—they require security, evaluation, governance, and continuous improvement. This session combines lessons from production AI agent security with real-world LLM evaluation and fine-tuning workflows.

Topics may include prompt injection, tool abuse, memory poisoning, defense-in-depth architectures, custom evaluation frameworks, Azure OpenAI fine- tuning, and practical engineering lessons learned from deploying AI-powered systems.

Key Takeaways:

  • Understand security challenges in AI agents
  • Learn practical defense patterns for production AI
  • Explore LLM evaluation methodologies
  • Understand fine-tuning workflows using Azure OpenAI
  • Apply production engineering best practices to AI systems

Related topics

Artificial Intelligence
Network Security
Data Analytics
New Technology
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