What is shadow AI, and why is it a real risk for LLM apps
Unapproved LLM usage, unmanaged APIs, and prompt sprawl are all signs of shadow AI. This blog breaks down the risks and how to detect it in your GenAI stack.
Drishti Shah
LLM proxy vs AI gateway: what’s the difference and which one do you need?
Understand the difference between an LLM proxy and an AI gateway, and learn which one your team needs to scale LLM usage effectively.
Why enterprises need to rethink how employees access LLMs
Learn why self-serve AI access is critical for enterprise GenAI adoption, and how governed access with built-in guardrails helps teams innovate faster without compromising security or compliance.
Managing and deploying prompts at scale without breaking your pipeline
Learn how teams are scaling LLM prompt workflows with Portkey, moving from manual, spreadsheet-based processes to versioned, testable, and instantly deployable prompt infrastructure.
How a model catalog accelerates LLM development
See how a model catalog simplifies governance and why it is essential for building and scaling LLM applications
Make Cline enterprise-ready using an AI Gateway
Cline is a powerful AI coding assistant. Learn how Portkey’s AI gateway makes Cline enterprise-ready with guardrails, observability, and governance.
How to balance AI model accuracy, performance, and costs with an AI gateway
Finding the sweet spot between model accuracy, performance, and costs is one of the biggest headaches AI teams face today. See how an AI gateway can solve for that.