Cyber Risk Series: AI & LLM - How Secure are Your Generative Sheep?

Logo
Presented by

Qualys

About this talk

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 we’ll cover: • Full AI & LLM Workload Discovery: How to uncover all your AI and LLM assets, including shadow models that may pose hidden risks. • AI Vulnerability Management: Strategies for detecting and mitigating risks like prompt injection, jailbreaks, and model theft. • Risk-Based Prioritization: How to focus on the most critical vulnerabilities in your AI infrastructure using risk-based frameworks. • Compliance & Legal Protection: Ensuring your AI models comply with data protection regulations like GDPR and CCPA to avoid penalties. Don't miss the opportunity to learn from industry experts. Register now.
Related topics:

More from this channel

Upcoming talks (6)
On-demand talks (152)
Subscribers (80760)
Join us for this informative technology series for insights into emerging security trends that every IT professional should know. These brief sessions will give you an opportunity to discover best practices from market leaders as well as hands-on advice from industry experts on a variety of security and compliance topics. Let Qualys help keep you up-to-date with cost-effective and efficient technology trends. Choose the topic that interests you or plan to attend the entire series to make sure you stay ahead of the curve.