Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your API attack surface is larger and more exposed than you realize. In today's complex, cloud-native environment, APIs are deployed at an astonishing rate. While this rapid pace fuels innovation, it also creates a significant visibility gap. The APIs you are aware of and manage are only the tip of the iceberg. Your actual risk exists beneath the surface, in the undocumented, unmanaged, and forgotten APIs that traditional security tools completely overlook.

I’ve spent my career building solutions to protect the API fabric that powers modern businesses. I founded Salt because I saw that traditional security tools such as WAFs, gateways, and CDNs weren’t designed to see or secure APIs. That gap led to breaches, blind spots, and billions in risk. Today, we’re facing a new wave of risk that’s even bigger than the last. The rise of Agentic AI has brought us to a true inflection point. Agentic AI isn’t just another software layer.

We’ve all heard the myth: goldfish have a memory span of just a few seconds. While that’s debatable in marine biology circles, it’s useful as a metaphor in tech, especially when talking about memory, risk, and AI. The problem is, large language models (LLMs) are not goldfish. In fact, they have incredible memory. And increasingly, that memory isn’t just session-based. It’s persistent, long-term, and system-connected. That changes everything.

We’re at a major inflection point in how software operates. And I don’t say that lightly. For the past decade, we’ve seen a steady evolution toward microservices, APIs, and cloud-native architectures. But Agentic AI is something different. We’re no longer talking about static services. We’re now dealing with autonomous agents that reason, remember, and act in real-time across live environments.

In June 2025, a disturbing security failure surfaced involving McDonald’s AI-powered hiring assistant, Olivia, operated by Paradox.ai. The platform, designed to screen job applicants via chatbot, exposed the personal information of over 64 million people. That included names, contact info, shift preferences, and even chat transcripts. The root cause? A combination of missteps that highlight the growing risk of insecure APIs in modern, AI-driven systems.

I’ve seen this story before, and I’m seeing it again. When we founded Salt Security in 2016, APIs already powered the digital economy, Kubernetes started to accelerate the growth of APIs, yet almost nobody was monitoring them. Visibility was near zero, context was missing, and protection was an afterthought. Fast-forward to 2025, and the same blind spot is forming, only bigger. AI agents are no longer just generating content; they are also creating it.

In today’s digital-first world, APIs serve as the core infrastructure of modern business. They power mobile applications, facilitate critical cloud integrations, and support digital transformation initiatives. It's therefore understandable that 73% of CISOs consider API security a top or critical concern. However, a recent survey of 300 security leaders uncovers a troubling paradox: a large gap between awareness and action.