The advent of LLMs has revolutionized the way companies develop and interact with Artificial Intelligence (AI) systems, while simultaneously introducing new and intricate security challenges.
A Kaspersky study has revealed that already in 2024 more than half of companies have implemented AI and the Internet of Things (IoT) in their infrastructure. As these technologies become increasingly embedded in corporate systems and processes, understanding how they can be targeted, what vulnerabilities can be exploited for cyberattacks, and how to defend against them is no longer optional—it’s a vital skill for cybersecurity professionals.
“The rise of large language models has revolutionized the approach taken by organizations to building and engaging with AI, opening new horizons of possibility. Yet, this technological leap also brings intricate security puzzles that demand immediate attention. For cybersecurity experts, mastering the art of spotting, exploiting and shielding against these vulnerabilities has become a vital craft.
That’s why we developed this specialized course—to arm professionals with the insights and hands-on tools necessary to safeguard LLM-driven applications and stay one step ahead of the evolving threat landscape,” says Vladislav Tushkanov, Research Development Group Manager at Kaspersky.
Designed to provide a solid foundation in this emerging field, the course equips professionals with the expertise to assess vulnerabilities, implement effective defences and design resilient AI systems. Participants will engage with real-world cases and practical assignments, honing their ability to deploy robust security measures and enhance the resilience of LLM-based applications.
This course taps into the vast expertise of the Kaspersky AI Technology Research Center, where specialists have spent nearly two decades focusing on AI in cybersecurity and secure AI, driving advancements in threat detection and mitigation. Led by Tushkanov, the program delivers an engaging learning experience with captivating video lectures, hands-on labs, and interactive exercises.
This training is useful for those starting their careers in AI cybersecurity, engineers building or integrating LLMs, and specialists working closely with AI infrastructure.
