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Research and analysis
5 articles in this topic.
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, managing every integration directly in application code becomes difficult. AI gateways and LLM routers add …
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 fully address. AI agent security platforms help organizations discover, assess, monitor, and protect these systems. …
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 to spot. Others can operate inside applications the company has already approved. That makes Shadow …
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