Kaspersky introduces a new training, 'Large Language Models Security'
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 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 cyber-attacks and how to
defend against them is no longer optional—it's a vital skill for cybersecurity
professionals.
To
address this critical need, Kaspersky has expanded its renowned Cybersecurity
Training portfolio with a new online course dedicated to the security of LLMs.
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.
The
course draws upon the extensive expertise of the Kaspersky AI Technology
Research Center, whose specialists have been dedicated to AI in cybersecurity
and secure AI for nearly two decades—advancing the detection and mitigation of
a wide spectrum of threats. Led by Vladislav Tushkanov, Research Development
Group Manager at Kaspersky, the program offers an engaging learning experience
through compelling video lectures, practical hands-on labs and interactive
exercises, enabling participants to...
- Explore
exploitation techniques such as jailbreaks, prompt injections and token
smuggling to understand how to defend against them.
- Develop
practical defense strategies across various levels—model, prompt, system and
service.
- Apply
structured frameworks for assessing and enhancing LLM security.
This
training is useful for those starting their careers in AI cybersecurity,
engineers building or integrating LLMs, and specialists working closely with AI
infrastructure.
"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.
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