We shipped our MCP server and AI Assistant Suite, and adoption exceeded targets. The surprise? AI tooling generates more backlog, not less. When it’s cheaper to propose an integration change, more changes get proposed and freed-up capacity gets absorbed by work that never made the cut before.

CTO Sasi Mukkamala breaks down what changed, what didn’t, and where our AI roadmap goes next.

Evaluating an interoperability partner? Ask these non-obvious questions about resource costs, scaling, and data usability before you sign.

AI is evolving faster than most healthcare organizations can respond. AI is evolving faster than most healthcare organizations can respond. In this episode of Shut the Back Door, Redox Security Advisor Ben Doyle breaks down Mythos — an AI-native system that can autonomously chain together known threats and uncover new ones at machine speed. Here’s what it means for your security posture and where to start.

The AI Assistant Suite adds three AI-powered tools directly to the Redox dashboard: a Config Modifier Assistant that generates ready-to-use schemas from plain-language requests, a Log Summary Assistant that explains what happened during processing in plain English, and a Payload Summary Assistant that instantly translates raw payloads into human-readable summaries. These tools are built for mixed-technical teams—reducing reliance on support queues and freeing up technical staff for complex work. Available now for all Redox customers.

When one of your customers gets compromised, the risk doesn’t stop with them. It extends to every system, connection, and customer tied to them. In the latest episode of The Cyber Checkup, Trevor Wilson walks through what actually happens behind the scenes when a customer is compromised.

After seven years at Redox, Andy Pung left. Now, he’s back as Head of Sales. Discover why his return wasn’t just about the incredible culture, but how the Redox platform has evolved from a startup point solution into a powerhouse for enterprise healthcare data orchestration and AI adoption.

Build real-time clinical data pipelines in minutes using natural language. Learn how Databricks Zerobus and Redox eliminate integration bottlenecks and subsecond latency to power instant AI insights and EHR writeback.

Why vibe-coded AI fails in production: beyond the “time-to-wow” demo trap. Discover why healthcare AI integrations need more than just foundational models. Learn how an agent harness and real-world EHR expertise bridge the gap between a polished prototype and production-ready interoperability.

Think Macs are immune to malware? Think again. Security Engineer Zak Cowan breaks down a recent macOS campaign and explains why built-in protections like Gatekeeper aren’t enough to stop modern, behavior-based attacks.

Preparing for the CMS ACCESS Model launch on July 5, 2026? Learn key takeaways from the v0.9.1 API Implementation Guide, including FHIR R4 requirements and asynchronous polling hurdles.

Healthcare interoperability has a new mandate. Learn why AI success depends on intraoperability — the internal data infrastructure that turns fragmented systems into an agentic enterprise.

Building a vulnerability management program isn’t just about finding bugs; it’s about context and communication. In this episode of Shut the Backdoor, learn how staff security engineers Trevor Wilson and Ethan Wolkowicz prioritize risk, navigate cloud environments, and bridge the gap between security and engineering.