As generative AI becomes deeply embedded in enterprise systems, so too do the risks of misuse, exploitation, and system failure. Whether through malicious intent or simple oversight, AI-powered applications can expose organizations to unexpected vulnerabilities.

In this session, we’ll take a clear-eyed look at the threat landscape of 2025—from prompt injection and model exploitation to data leakage and system manipulation. You'll gain insights into known attack vectors, including real-world examples, and explore how attackers can exploit poorly aligned models or insufficiently hardened integrations.

We’ll cover both preventive and detective strategies:

• How to assess vulnerabilities in base models, fine-tuned models, and system prompts
• How to apply filters, alignment techniques, and custom security layers
• The role of AI red teaming in uncovering blind spots and simulating real-world attacks

This session is designed for security professionals, developers, and AI architects who want to build resilient, responsible AI systems.

You will learn:

• The breadth of AI-specific attack vectors you may face in 2025
• How to test and probe your AI system for hidden vulnerabilities
• Effective mitigation strategies to reduce exposure and improve safety