The increasing incorporation of AI in products has generated new security risks, prompting organizations to seek professionals with expertise in Machine Learning (ML) SecOps and Large Language Model (LLM) SecOps. According to ISACA's 2024 State of Cybersecurity report, 24% of respondents identified LLM SecOps and ML SecOps as critical skill gaps in the cybersecurity field, highlighting the demand for these skills. ML SecOps involves securing the development and deployment of machine learning systems, while LLM SecOps focuses on the lifecycle security of Large Language Models, addressing concerns like ethics reviews, data preparation, and incident response
To address these skill gaps, security professionals can access various resources such as GitHub repositories and OWASP lists to enhance their ML SecOps and LLM SecOps skills. Besides technical skills, soft skills remain essential in the cybersecurity domain, with communication, flexibility, and leadership being identified as vital by 51% of respondents in ISACA's report. Cloud computing, security controls implementation, and software development are also crucial skills sought after in cybersecurity professionals, emphasizing the need for a diverse skill set in the ever-evolving cybersecurity landscape. ```https://www.darkreading.com/cybersecurity-careers/ai-hype-drives-demand-ml-secops-skills