Architecture design to keep AI Agents from compromising customer data
Most AI agents need access to structured data (CRMs, databases, warehouses), but giving them database access is a security nightmare. Having worked with companies on deploying agents in production environments, I'm sharing an architecture overview of what's been most useful- hope this helps! Layer 1: Data Sources Your raw data repositories (Salesforce, PostgreSQL, Snowflake, etc.). Traditional...
Now Live on Pylar : Agent Data Connectors
One of the biggest blockers to building agents is getting the data 'agent-ready'. Teams spend months building pipelines, wiring up sources, cleaning data, and centralizing it - before an agent can even ask its first question. Pylar now does this out of the box. We’re source-agnostic. Whether your data lives across multiple databases and warehouses (Supabase, Snowflake, MySQL, etc.), you can...
Launching Airbook AI - Cursor for Analytics
Today, we’re excited to launch Airbook AI - an AI-native workspace to do all your analytics in one place. Airbook automatically syncs, cleans, and centralizes data from HubSpot, Amplitude, GA4, Zendesk, Stripe, Postgres, Snowflake & more. Our AI is schema-aware - it understands your question and maps it to the fields that exist in your database, auto-builds queries across sources, and lets you...
A very big thank you to our awesome PH community! 🙏🏼
Folks - I'm Hoshang, CEO at Airbook. Ever since we started building Airbook, we've always wanted to first launch on Product Hunt. We'd been speaking to other founders and 10/10 founders always mentioned that launching on PH was the best way to get feedback. We've had 4 launches so far and you guys got us to the #1 Product of the Day, twice! It gave us incredible visibility and more importantly,...
