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CYBER RISK SERIES: AI & LLM - HOW SECURE ARE YOUR GENERATIVE SHEEP?


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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:
AI
LLM
Cyber Security
Cyber Risk Management
Cyber Attacks
Vulnerabilities
Vulnerability Intelligence
Risk Based Security
Data Protection
GDPR


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IN THIS VIRTUAL EVENT

Cyber Risk Series: AI & LLM - How Secure are Your Generative Sheep?
Dec 04, 20241 Talk



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