Teams | Collaboration | Customer Service | Project Management

Securing Your Internal Knowledge Amidst Shadow AI

Contemporary organizations must protect their internal knowledge from a growing number of threats. Instances of security and data breaches—which can involve both gaining unauthorized access and extracting (stealing) data from the organization—result in costly fines, ligation, regulatory penalties, loss of reputation, and churn. Users must remain vigilant about both deliberate and inadvertent forms of security breaches.

Rocket.Chat Labs #1: What happens when you throw 1.2M messages at AI search

Welcome to Rocket.Chat Labs: our way of showing what is cooking in the R&D kitchen. No polished demos on curated datasets. No slide decks dressed up as evidence. Just real engineering, real data, and the honest story of what we found. The first in a series where we open up our R&D process: what we built, how we tested it, and what we actually found.

How one marketer saved 4 hours of manual work with AI Teammates

The hardest part of a planning offsite isn't always the planning. It's translating that clarity, energy, and momentum into actual projects after everyone has left the room. For Sheila Head, Head of Marketing Operations at Asana, that translation work used to cost an entire work day. "The real work happens as soon as you wrap up the notes and assign action items and get people actually working on the initiatives you all aligned on," said Sheila.

Asana catches security risks before anyone writes a line of code with AI Teammates

Security is what makes it possible to build and ship software with confidence. But in fast-moving engineering teams, it can drift into an afterthought—a final hurdle before launch rather than a voice at the table from day one. Varun Prusty, staff security engineer on Asana's security architecture team, believed it didn't have to work that way, so he built something to prove it.

Top 10 AI-Powered Customer Feedback Analysis Tools

Customer feedback has become one of the most valuable sources of operational intelligence for modern organizations. Product reviews, support tickets, in-app comments, surveys, social media posts, and community discussions collectively reveal how customers experience products in real conditions. Yet while feedback collection has become effortless, interpretation remains challenging.

Use Cursor Automations platform with Miro MCP to uplevel your AI Workflows

In this video, Horea Porutiu (Developer Advocate at Miro) demonstrates how to leverage Cursor’s new Automation feature alongside the Miro MCP (Model Context Protocol) server. Watch as we build a custom automation that triggers from a Slack message to automatically generate documentation, comparison tables, and flowcharts directly on a Miro board. If you're looking to streamline the tedious parts of your engineering workflow and focus on creative problem-solving, this AI-driven integration is for you.