In-depth explainers on APIs, integrations, and AI concepts
Why your GRC platform needs to integrate beyond Okta and Entra ID. Learn how covering the long tail of niche IdPs and HRIS systems prevents audit failures.
API schema normalization is the hardest problem in SaaS integrations. Learn why standard 1:1 key-value mapping fails and how programmable JSONata mapping fixes it.
Explore the engineering trade-offs of building Google Drive, SharePoint, and Box integrations versus using a Unified File Storage API.
Compare the 3 architectural models for B2B SaaS integrations: Direct, Unified APIs, and Embedded iPaaS. Learn the true costs, trade-offs, and which to choose.
Deciding between building SaaS integrations in-house or buying a unified API? We break down the true costs, pros, cons, and the math behind the build vs. buy decision.
A comprehensive guide to MCP security: understand key threats, examples, and effective strategies to secure your AI integrations.
MCP, or Model Context Protocol, gives AI assistants a standard way to use external apps and data safely. This guide explains how hosts, servers, and tools interact, how JSON validation and structured results keep calls reliable, and why Unified APIs make integrations faster and easier to manage.
Discover what a unified API is and how it normalizes data across SaaS platforms to accelerate your integration roadmap and reduce engineering overhead.
