Companies Must Embrace Bespoke AI Designed for IT Workflows

Although LLMs have been readily available for the past few years, inroads into the IT sector have been minimal. We have seen successful generative AI (GenAI) model penetration into SaaS solutions and areas like help desks; however, successful GenAI integration into security software has been few and far between. Generally speaking, it is not easy to repurpose an LLM to work within a security domain. LLMs are optimized for natural language; they can’t immediately understand or process security elements such as flow packets, logs, alerts, and knowledge graphs. To build out effective genAI integration in the security sphere, it’s time to embrace bespoke, foundational AI for IT workflows. AI Model Efficiency The recent trend toward building out models more efficiently, as opposed to scaling at all costs, is a natural progression of GenAI tools in the enterprise space. Despite all the LLM hype, not every business problem requires an LLM solution. If you utilize LLMs within your infrastructure, it’s best to right-size them (distill them into smaller models that address specific business problems) while focusing on privacy, security, and explainability. By right-sizing your models, compute is kept to a minimum, which prevents costs from being passed on to your customers. Continue reading