In cybersecurity, we live by our metrics. We measure Mean Time to Respond (MTTR), Dwell Time, and Patch Cadence. These numbers tell the Board how fast we react when things go wrong.But in the era of Agentic AI, reaction speed is no longer enough. When an AI Agent or an ... Read More

There is a moment that happens in every SOC (Security Operations Center) every day. An alert fires. An analyst looks at a dashboard and sees a UR: POST /vs/payments/proc/77a.And then they stop. They stare. And they ask the question that kills productivity: "What does this thing actually do?"Is it a ... Read More

If you look at an enterprise architecture diagram from five years ago, it looks relatively tidy. You had a data center, maybe a cloud provider, and a few gateways. Today, that diagram looks like a constellation.Data is living in AI platforms like Databricks. Frontend applications are pushed to the edge ... Read More

In today's security landscape, it's easy to get lost in a sea of acronyms. But one layer has become the undisputed foundation for modern application security: API security.Why? Because APIs are no longer just part of the application, they are the application. They are the connective tissue for microservices, third-party ... Read More

Over the last year, Model Context Protocol (MCP) servers have transitioned from "cool developer experiments" into critical production infrastructure. Developers love them because they allow AI agents to open tickets, query databases, and update records with almost zero integration backlog.But there is a fundamental truth we must acknowledge before moving ... Read More

In the race to deploy autonomous AI agents, organizations are inadvertently building on a foundation of shifting sand. While security teams have spent the last year focused on "Prompt Injection" and "Model Poisoning," a much older, more dangerous adversary has quietly become the primary attack vector for the agentic era: ... Read More

For the last twenty years, cybersecurity has been built around the edge: the belief that threats come from the outside, and that firewalls, WAFs, and API gateways can inspect and control what enters the environment.That model worked when applications were centralized, traffic was predictable, and most interactions followed a clear ... Read More

If you look at the headlines, the story is about Artificial Intelligence. But if you look at the architecture, the story is about APIs.The reality of modern tech is simple: You can’t have AI security without API security.As we move rapidly from simple chatbots to autonomous agents, the way we ... Read More

As holiday lights go up and inboxes fill with year-in-review emails, it’s tempting to look back on 2025 as “the year of AI.”But for security teams, it was something more specific – the year APIs, AI agents, and MCP servers collided across the API fabric, expanding the attack surface faster ... Read More

As organizations accelerate the adoption of Artificial Intelligence, from deploying Large Language Models (LLMs) to integrating autonomous agents and Model Context Protocol (MCP) servers, risk management has transitioned from a theoretical exercise to a critical business imperative. The NIST AI Risk Management Framework (AI RMF 1.0) has emerged as the ... Read More