
AI applications rarely stay tied to one model provider for long. A production application may use one model for reasoning, another for fast responses, and a third for lower-cost background tasks. As those models, prices, rate limits and providers change,…

AI agents are moving beyond simple question-and-answer workflows. They can access company data, call APIs, use external tools, connect to MCP servers, and take actions on behalf of users. That flexibility creates security risks that traditional application controls may not…

Shadow AI is no longer limited to employees opening ChatGPT without telling IT. AI usage now appears through SaaS applications, browser extensions, coding assistants, direct model APIs, local models, AI agents, and MCP connections. Some of these tools are easy…

An AI gateway becomes useful when an application stops relying on a single model provider. Instead of connecting every application directly to OpenAI, Anthropic, Google, or another provider, the gateway becomes the control point between the application and the models.…

Enterprise AI security has moved beyond protecting a model from a bad prompt. Production AI systems now connect models to company data, retrieval systems, APIs, plugins, tools, agents, and sometimes external MCP servers. That creates several places where an attacker…