Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

While the world worries about "jailbreaking" LLMs or preventing them from hallucinating, a critical new vulnerability has just reminded us of a fundamental truth: AI is just software, and software has bugs. A newly discovered critical flaw (CVE-2025-62164) in vLLM, one of the most popular libraries for serving large language models, allows attackers to achieve Remote Code Execution (RCE) or crash servers simply by sending a malicious API request. This isn't a failure of the AI model.

The definition of the "edge" is changing. For years, security teams have focused on the traditional perimeter: web applications, public APIs, and user interfaces. We built firewalls, deployed WAFs, and established strict access controls to keep bad actors out. But with the rapid adoption of Agentic AI, the perimeter has expanded. Today, your "edge" isn't just where users connect to your apps; it's where AI agents connect to your data.

In the world of cybersecurity, we have a "data" problem. We have more of it than ever before, more logs, more alerts, and definitely more APIs. But recently, this challenge has compounded. The rise of Agentic AI and Model Context Protocols (MCPs) has exploded the number of machine-to-machine connections in our environments. These agents spin up new pathways and access data in ways that are often invisible to traditional monitoring.

The conversation about AI security has shifted. For the past year, the focus has been on the model itself: poisoning data, prompt injection, and protecting intellectual property. These are critical concerns, but they miss the bigger picture of how AI is actually being operationalized in the enterprise. We are entering the era of Agentic AI. AI is no longer just generating text; it is taking action. Autonomous agents read customer tickets, query databases, update financial records, and trigger workflows.

One of our most-loved features is Salt Cloud Connect. In a world of complex deployments, it’s a breath of fresh air: an agentless discovery model that delivers under 10-minute deployment and rapidly gathering API-specific info in cloud platforms. Customers plug it in, and in minutes, not weeks, they get a “traffic-free”, complete inventory of their APIs across AWS, Azure, GCP, Kong, and Mulesoft. This “ease of use” provides a “wow” moment of immediate visibility.

Threat researchers recently disclosed a severe vulnerability in a Figma Model Context Protocol (MCP) server, as reported by The Hacker News. While the specific patch is important, the discovery itself serves as a critical wake-up call for every organization rushing to adopt AI. This incident provides a blueprint for a new class of attacks that target the very infrastructure powering the AI Agent Economy. To understand the risk, we must first look at the mechanics of this emerging threat.

AI adoption has fundamentally redefined the role of APIs. They are no longer just conduits for data; they have become the “AI action plane” for autonomous systems. Every AI workflow, agent, and tool call now rides on an API, exposing a critical truth: you cannot secure AI without first securing your APIs. The H2 2025 State of API Security report reveals that this dependency is dangerously outpacing current security practices.

Receiving recognition from one leading analyst firm is a notable achievement. When two firms acknowledge your leadership, it clearly establishes a consistent pattern of market dominance. Following its designation as an Overall Leader in the KuppingerCole 2025 Leadership Compass for API Security, Salt Security has achieved the highest rating in the 2025 EMA PRISM Report for API Security.

It’s been a rough few weeks for burger chains. First, McDonald’s McHire chatbot was caught serving up candidate data through insecure APIs. Then Restaurant Brands International (RBI), home of Burger King, Tim Hortons, and Popeyes, had its APIs flame-broiled by attackers who discovered they could generate tokens without authentication, escalate privileges, and even eavesdrop on live drive-thru audio. When APIs become the secret sauce, leaving them unprotected is a recipe for disaster.