As Artificial Intelligence (AI) and Large Language Models (LLMs) become integral to modern business operations, they introduce unprecedented security challenges that traditional cybersecurity measures struggle to address. This presentation explores the unique security landscape of AI systems, with a particular focus on LLMs, unveiling potential vulnerabilities and attack vectors that security professionals must be prepared to confront.
We will delve into critical issues such as data poisoning, model inversion, prompt injection, and the privacy implications of AI systems. Special attention will be given to LLM-specific challenges, including hallucination, unauthorized data disclosure, and the potential for misuse in creating malicious content.