How secure are your generative sheep?

As AI and large language models (LLMs) rapidly transform industries, they also introduce new vulnerabilities that traditional cybersecurity methods can’t fully address—data leaks, non-compliance, intellectual property theft, and more. In fact, 94% of IT leaders have allocated budgets to safeguard AI in 2024, and this number is expected to rise significantly as AI and LLM adoption continues. The modern attack surface has evolved, making AI and LLMs prime targets for cyberattacks.

In this edition of the Cyber Risk Series, we’ll tackle the most pressing AI security challenges, explore the hidden risks in your AI and LLM workloads, and forecast the 2025 AI security landscape. This event will bring AI security to the forefront, empowering security leaders to defend against emerging threats.

Key topics:
Full AI & LLM Workload Discovery
AI Vulnerability Management
Risk-Based Prioritization
Compliance & Legal Protection