Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

On June 5, 2026, ServiceNow quietly pushed a security update to hosted customer instances. The fix, described in an internal knowledge base article, addressed a flaw that let unauthenticated users gain more access to ServiceNow-hosted data than they were ever supposed to have. No password. No credentials. The remediation itself tells the whole story: ServiceNow changed an endpoint configuration to restrict access to authenticated users only. Read that again.

What this milestone means for enterprise AI security - and why we built it. AI adoption inside the enterprise didn't slow down and wait for security to catch up. It accelerated. And nowhere is that more visible than in the rapid deployment of large language models like Claude across enterprise workflows. Customer support teams use it to summarize tickets. Legal teams use it to review contracts. Engineers use it to write and review code. Finance teams use it to draft reports.