Teams | Collaboration | Customer Service | Project Management

Enterprise security is becoming more complex because companies have more users, devices, cloud services, and third-party applications to protect than ever before. Many successful attacks still exploit basic security gaps across these environments rather than sophisticated vulnerabilities. Enterprise cyber security solutions help organizations protect every layer of the business, from networks and endpoints to identities, data, and communication. In this guide, you'll learn.

OpenAI's new Apple Messages plugin gives ChatGPT access to the Messages application on a Mac. Once enabled, users can ask ChatGPT to find conversations, summarize them, draft replies, and send messages. That has understandably raised questions about what it means for iMessage privacy. The starting point is understanding what the plugin does and, just as importantly, what it doesn't do.

Email is one of the few workplace tools that creates more work simply by being available. Every message asks for a small decision: open it now or later, reply or ignore, archive or keep, delegate or handle personally. None of these decisions seems particularly demanding on its own, but together they can consume a surprising amount of time and attention. The problem is not always the number of messages.

IT support has a familiar problem. An employee says, “I can’t access Salesforce,” but solving that request may involve much more than answering a question. Someone has to understand what access is needed, check whether the employee is eligible, collect missing information, trigger an approval, update an identity platform, record the request in the ITSM system, and tell the employee when it is complete. For years, service desk chatbots solved only the first part of that journey.

AI makes it quick and easy to turn rough notes into a clean, easy-to-read document. Job well done, right? Think again. Atlassian’s Teamwork Lab suspected that this professional veneer—what we call “AI polish”—makes it harder to spot foundational flaws and give feedback, so we tested it. We wanted to know: Does AI polish make it harder to identify problems in early drafts? How can we solve for this blind spot?