Key Takeaways Agentic AI Changes What Application Security Has to Cover A human employee who wants to delete a customer record, issue a refund, or push a config change has to ask,
Key Takeways Your Next Fraud Incident Won’t Come From a Human An AI agent with access to a customer’s brokerage account can begin executing trades. Not because the customer asked. Because
TL;DR The Permission Inheritance Problem Nobody Is Talking About When an enterprise deploys an MCP-powered AI agent, such as a coding assistant, a customer workflow automaton, an IT
Key Takeaways The Moment the Internet Tipped On April 27, 2026, a threshold was crossed that the internet had never hit before. Cloudflare Radar data confirmed that automated systems,
As enterprises adopt AI agents, two control points are becoming common: AI Gateways and MCP Gateways. They sound similar, but they solve different problems. An AI Gateway controls how applications interact
TL;DR Traditional API security protects deterministic systems with known endpoints and explicit actions, while MCP-powered AI agents operate through inferred intent, dynamic tool chaining, and natural language interactions.
TL;DR Introduction We have officially entered the era of agentic AI where Large Language Models (LLMs) have become active decision-makers. They browse our databases, execute code, manage cloud infrastructure,
