Kaspersky has launched a specialized training course aimed at enhancing cybersecurity expertise in the rapidly evolving field of artificial intelligence. The program, introduced in September 2025, focuses specifically on securing large language models (LLMs) and equipping professionals with the skills needed to identify and mitigate vulnerabilities within AI systems.

As AI adoption accelerates across industries, LLMs have become increasingly integral for applications ranging from automated customer service to content generation and decision-making. However, these models are not immune to security risks, including data poisoning, adversarial attacks, and unauthorized access. Kaspersky’s course addresses these challenges by providing practical training on both defensive strategies and risk assessment techniques, helping organizations safeguard their AI deployments.

The curriculum covers key topics such as threat modeling for AI systems, monitoring for anomalous model behavior, and applying cryptographic and access control measures to prevent exploitation. Participants also learn to conduct security audits on LLM architectures, identify potential vulnerabilities in training datasets, and implement robust safeguards to maintain model integrity.

Kaspersky emphasizes that as AI systems grow more complex and widely deployed, the need for specialized security knowledge becomes critical. By training cybersecurity professionals in LLM protection, the company aims to bridge the gap between traditional IT security and emerging AI-related threats. The initiative also aligns with broader industry trends where AI safety and resilience are increasingly seen as essential components of corporate governance and risk management.

The course is expected to appeal to cybersecurity experts, AI developers, and IT managers seeking to deepen their understanding of AI vulnerabilities and enhance organizational defenses. Kaspersky’s effort underscores the growing importance of proactive security education in the AI era, ensuring that emerging technologies can be harnessed safely and responsibly.