7 posts tagged with "AI Agents"

Enterprise AI agents are making autonomous decisions across your organization right now—querying databases, accessing customer records, and executing workflows. With 78% using generative AI according to Superblock and 80% report risky behaviors according to SailPoint Technologies research, enterprises require comprehensive frameworks to identify, assess, and mitigate risks across autonomous AI systems. The gap between AI adoption and AI governance creates substantial exposure—from data breaches to regulatory penalties that can reach up to €35M or 7% of global annual turnover under the EU AI Act

AI agents need secure, governed access to database operations without exposing credentials or allowing uncontrolled SQL execution. Prisma's Model Context Protocol servers—built directly into the Prisma CLI enable AI agents to manage databases, run migrations, and execute queries through natural language. This guide shows engineering teams how to deploy Prisma MCP servers through MintMCP's enterprise gateway for centralized authentication, audit trails, and access control.

Every ungoverned AI agent represents a ticking compliance time bomb - accessing sensitive data, making autonomous decisions, and operating without the audit trails regulators demand. With Gartner predicting that over 40% of agentic AI projects will be canceled by the end of 2027 due to escalating costs, unclear business value, or inadequate risk controls and relatively few enterprises maintaining fully implemented AI governance structures, the gap between AI adoption and compliance readiness creates substantial regulatory and security exposure. The solution isn't slowing AI deployment - it's implementing enterprise-grade infrastructure like an MCP Gateway that delivers centralized governance, complete audit trails, and real-time monitoring from day one.

Every unsecured AI agent connection to your enterprise data creates a potential breach point—and 66% of MCP servers operate with poor security practices that leave sensitive information exposed. With the AI agents market projected to grow from $5.1 billion in 2024 to $47.1 billion by 2030, organizations face an urgent challenge: AI agents need data access to deliver value, but that access creates significant security, compliance, and operational risks. The solution isn't blocking AI adoption—it's deploying an MCP Gateway that transforms ungoverned AI interactions into controlled, secure, and compliant operations.

Deploying AI agents powered by Anthropic's Claude SDK at enterprise scale presents challenges that extend beyond API integration. The Model Context Protocol enables Claude to access tools, databases, and business systems—but production deployments require centralized authentication, comprehensive audit trails, and governance controls that local MCP servers cannot provide. This guide shows engineering teams how to deploy Claude SDK applications with MCP integrations that meet enterprise security requirements while enabling AI-powered automation across the organization.

FastAPI has become the framework of choice for building high-performance Python APIs, and the Model Context Protocol extends this capability by enabling AI agents to interact with your APIs directly. For engineering teams building AI-powered applications, combining FastAPI with MCP creates a powerful architecture where AI agents can execute API operations, access business logic, and automate workflows through natural language interactions. This guide shows how to implement FastAPI-based MCP servers that meet enterprise requirements for security, scalability, and governance.

Building enterprise AI agents with Next.js and the Model Context Protocol requires more than just writing code—it demands infrastructure that handles authentication, authorization, and governance at scale. While Next.js provides a powerful framework for creating MCP servers, deploying these integrations securely across enterprise teams introduces significant operational overhead. This guide shows engineering teams how to build production-ready Next.js MCP servers that meet enterprise security requirements while enabling AI-powered automation.