Every enterprise today runs on more than users. Behind the scenes, thousands of non-human identities, from service accounts to API tokens to AI agents, access systems, move data, and execute tasks around the clock. They're not new. But they're multiplying fast. And most weren't built with security in mind. Traditional identity tools assume intent, context, and ownership. Non-human identities have none of those.
In today's hyper-connected world, businesses are scaling faster than ever before. Cloud infrastructure, AI-driven automation, APIs, IoT ecosystems, and containerized applications have become the norm. This acceleration is reshaping digital environments into complex, interdependent systems where machines routinely interact with other machines, often without human oversight. But in this machine-first reality, most organizations are still looking in the wrong direction when it comes to securing their systems.
The rapid increased adoption of AI technologies, particularly LLMs, has significantly amplified the number of non-human identities across corporate clouds, leading to serious secrecy breaches.