Guides for AI gateways, MCP governance, prompt security, and internal AI search
This library is built for teams evaluating AI gateway, MCP governance, broader AI controls, and internal search decisions. Each guide connects a real deployment problem to a concrete approach with Posturio AI Gateway or Navigator.
Use it to compare deployment options, align internal stakeholders, and move from evaluation to production with clearer requirements.
Start with the demo, then sign in once to open the shared Posturio console.
Coverage
AI Gateway guides
AI Model Routing
Compare AI model routing approaches for internal tools, including approved-model policies, provider fallback, and workload-specific routing decisions.
Enterprise AI Gateway Evaluation Guide
Use this guide to evaluate an enterprise AI gateway for policy enforcement, prompt inspection, approved model access, and operational controls across internal AI tools.
LLM Gateway for Internal Tools
Deploy an LLM gateway for internal tools so prompt policies, provider routing, and model approvals stay centralized as teams add copilots and assistants.
OpenAI-Compatible AI Gateway
Use an OpenAI-compatible AI gateway to keep existing SDK patterns while adding prompt security, model routing, and approved provider access.
MCP governance guides
MCP Authorization for Enterprise Teams
Evaluate MCP authorization for enterprise teams so approved server access, tool scope, and request review are clear before MCP rollout expands.
MCP Gateway vs Direct Tool Integrations
Compare an MCP gateway versus direct tool integrations so teams can separate protocol convenience from production governance and review needs.
MCP Registry for Enterprise Governance
Evaluate an MCP registry for enterprise use so registry discovery, curated catalogs, and production approval do not blur together.
MCP Server Security for Internal AI
Review MCP server security so remote servers, tool execution, and operator review stay governed as internal AI tools gain more reach.
MCP Tool Access Control
Implement MCP tool access control so internal AI workflows use only approved tools with clear org and key boundaries.
MCP Tools for Enterprise AI Teams
Review MCP tools for enterprise teams so approved servers, tool scope, and request review stay controlled as internal AI adoption grows.
Model Context Protocol for Internal Tools
Evaluate model context protocol for internal tools so MCP servers, tool access, and operator review stay governed as teams expand AI usage.
Remote MCP Servers for Governed AI Rollout
Evaluate remote MCP servers for governed AI rollout so approved servers, transport constraints, and tool review stay deliberate.
Prompt security guides
Enterprise Prompt Inspection
Evaluate enterprise prompt inspection for internal AI tools so prompts can be reviewed, logged, and governed before reaching approved models.
Prompt Filtering for LLMs
Add prompt filtering for LLM-backed internal tools so sensitive requests, risky patterns, and policy violations are reviewed before model execution.
Prompt Security for Enterprise AI
Add prompt security for enterprise AI so internal teams can inspect requests, prevent leaks, and route risky prompts through approved paths.
Sensitive Data Routing for AI
Route sensitive AI requests differently from standard traffic so internal teams can control providers, policies, and approved usage paths.
AI governance guides
AI Governance for Engineering Teams
Give engineering teams practical AI governance for coding tools, internal assistants, and knowledge workflows without turning rollout into a compliance-only exercise.
AI Governance for Internal Tools
Build practical AI governance for internal tools without blocking engineers, copilots, search workflows, or internal assistants.
AI Policy Enforcement for LLMs
Enforce AI usage policies for LLM-backed internal tools with prompt inspection, approved-model controls, and centralized review points.
Approved Model Access for AI Teams
Control approved model access for internal AI teams so only reviewed providers and models are available to production-facing internal tools.
Enterprise RAG Governance
Apply enterprise RAG governance so grounded internal AI search stays aligned with approved sources, model policies, and rollout controls.
Model Access Control for Enterprise AI
Enforce model access control for enterprise AI so internal tools can use only approved providers and models for each governed workload.
Internal AI search guides
Enterprise AI Search With Approved Models
Deploy enterprise AI search with approved models so grounded internal answers stay aligned with provider restrictions and governance requirements.
Internal AI Search With Citations
Build internal AI search with citations so employees can verify grounded answers instead of trusting unsupported model responses.
Internal AI Search for Engineering Docs
Deploy internal AI search for engineering docs so teams can get grounded answers across runbooks, design docs, and operational knowledge.
Internal AI Search for Policies and Runbooks
Build internal AI search for policies and runbooks so teams can get grounded answers from approved procedures, controls, and operational documentation.
Internal AI Search for Support Teams
Deploy internal AI search for support teams so answers are grounded in runbooks, escalation guides, and approved operational knowledge.
Deployment guides
AI Gateway Cost Controls
Use AI gateway cost controls to review model usage, routing choices, and rollout patterns before internal AI spend fragments across teams.
AI Gateway for Copilot and Cursor Workflows
Evaluate an AI gateway for Copilot, Cursor, and internal code assistant workflows so model access and prompt policies stay reviewable.
Self-Hosted AI Gateway
Compare self-hosted AI gateway requirements, tradeoffs, and rollout steps for teams that need tighter control over AI traffic and provider access.
Comparison guides
AI Gateway vs Direct API Calls
Compare an AI gateway versus direct API calls for internal tools, including policy enforcement, model approvals, visibility, and rollout tradeoffs.
Internal AI Search vs Custom RAG Stack
Compare packaged internal AI search against a custom RAG stack for teams deciding how to ship grounded answers with governance and approved model controls.
Kong AI Gateway Alternative for Enterprise Teams
Compare Posturio as a Kong AI Gateway alternative when your team wants AI-specific deployment controls, operator workflow, and a clearer path from demo to governed internal AI.
Kong AI Gateway vs Posturio
Use this Kong AI Gateway vs Posturio comparison to separate a broader gateway-first strategy from an AI-specific rollout platform decision.
LLM Gateway vs Direct Provider Integrations
Compare an LLM gateway against direct provider integrations for internal AI tools, including governance, routing, prompt security, and operational tradeoffs.
LiteLLM Alternative for Governed Internal AI
Compare Posturio as a LiteLLM alternative when your team needs more than a lightweight proxy and wants operator workflow, policy review, and governed internal AI rollout.
LiteLLM vs Posturio for AI Gateway Rollout
Use this LiteLLM vs Posturio comparison to separate a lightweight proxy decision from a broader governed internal AI gateway rollout.
Portkey Alternative for Governed AI Gateway Teams
Compare Posturio as a Portkey alternative when your team needs an AI gateway plus stronger operator workflow, deployment controls, and governed internal AI usage.
Portkey vs Posturio for Governed Internal AI
Use this Portkey vs Posturio comparison when your team is deciding between a gateway-only shortlist and a broader governed internal AI rollout platform.