Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI systems are starting to do more than generate answers. Across customer support, IT operations, software development, and internal business workflows, organizations are deploying AI agents that can retrieve information, use tools, interact with applications, and complete tasks with limited human involvement. This shift is happening quickly. According to a McKinsey Report, 62% of organizations are already experimenting with AI agents, while 23% are actively scaling them across parts of their business.

Cybersecurity has a strange problem. Everyone says they want to reduce risk. But too often, the way we evaluate products rewards something narrower: how quickly a vendor can show value in a POV. Can it deploy fast? Can it work agentless? Can it produce a clean report? Can it map to OWASP, NIST, the EU AI Act, or the latest framework? Can it check enough boxes in the RFP?

A human employee who wants to delete a customer record, issue a refund, or push a config change has to ask, click, and confirm. An AI agent doing the same thing can plan, decide, and execute the action in one pass, often through a tool it picked itself, in a sequence no one explicitly approved. That shift, from systems that respond to systems that act, is why most application security stacks fall short the moment agentic AI enters the picture.

Not all API discovery tools solve the same problem. Some help teams discover APIs once. Others help maintain a live inventory as APIs change across cloud services, microservices, third-party integrations, and increasingly, AI-driven applications. That is where continuous API discovery stands apart. In this guide, we compare the top platforms using shared capability tags instead of forcing each tool into a single “best for” category.

If you've built an integration with Egnyte, you know the process: register at developers.egnyte.com, create an account, wait for approval, and get your credentials. It works, but for admins who simply want to start making API calls against their own domain, the process isn’t simple or fast enough. Starting today, that changes. Egnyte admins can now generate Collaborate API credentials directly from the Egnyte App Store—no external registration, no approval wait, no context-switching.

Organizations are investing heavily in securing their AI initiatives. New governance frameworks are being established, AI usage policies are being drafted, and security teams are deploying tools that provide visibility into AI agents, models, APIs, MCP servers, and connected applications. Across the industry, visibility has become the first priority in securing agentic AI. This focus is understandable. Most organizations are still trying to answer foundational questions.

An AI agent with access to a customer’s brokerage account can begin executing trades. Not because the customer asked. Because someone, somewhere upstream, slipped a hidden instruction into a tool the agent loaded at startup. The agent is doing exactly what it was told. Just not by the customer. This is not a hypothetical. It is the attack class that financial security teams have exactly zero legacy tooling to catch and it is arriving precisely as banks accelerate their agentic AI ambitions.

Your pipeline has an API testing stage. Your scanner runs on every build. A finding list comes back clean. And then something gets exploited in production that your pipeline ran past 47 times without flagging. Here's what happened: endpoint validation passed. Security didn't. They are not the same thing. Here's what that box doesn't capture: APIs don't fail in clean test environments.