Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Alongside an explosion in the popularity of large language models (LLMs) across many industries, there has also been an increase in the level of trust granted to these models. Whereas LLMs were once perceived as simple, friendly chatbots that could respond to basic questions or pull useful resources from the web based on user input, many have now been granted the ability to perform actions, anywhere from sending an email to deploying code. This is referred to as agency.

As AI continues to mature, we’re beginning to see AI-powered capabilities fall into distinct categories that serve different functions across the enterprise. From help tools like copilots that assist users, to conversational bots providing AI-driven chat support, and efficiency-focused agents that automate complex tasks, these categories reveal the unique ways AI is transforming business operations.

In what feels like 10 minutes, cybersecurity AI and machine learning (ML) have gone from a concept pioneered by a handful of companies, including SenseOn, to a technology that is seemingly everywhere. In a recent SenseOn survey, over 80% of IT teams told us they think that tools that use AI would be the most impactful investment their security operations centre (SOC) could make.

Five worthy reads is a regular column on five noteworthy items we have discovered while researching trending and timeless topics. This week’s article elucidates what non-human identities are and why they are garnering attention today. Undoubtedly, today’s digital environment is burgeoning with technological advancements across various spheres, and cybersecurity is no exception. We are in an era where automation, cloud computing, and AI play a more critical role than humans.