Jamf Blog

Artificial Intelligence and Machine Learning are both advanced technologies that can do far more to help us work smarter, not harder than we can possibly contemplate. What the future holds is anyone’s guess, but the burning question we look at today is: how do they impact IT and InfoSec and the roles of the individuals tasked with securely managing endpoints?

Worried about what Bring Your Own Device (BYOD) might mean for your organization . . . or yourself? Read on to see us debunk some common myths about BYOD.

Part three of the blog series on telemetry goes to the next level, specifying what administrators can do with the granular data collected from endpoints within their infrastructure. Particularly how this data is useful when detecting suspicious and unknown threats that may lurk undetected, as well as how pairing telemetry data with security solutions can enhance efficiency and your security posture through automation.

It seems as if every day in the past weeks has seen a headline about a breach in another healthcare organization. How did we get here? What can healthcare organizations do about it?

Check out the new Jamf Learning Hub to find the product technical content you need, when you need it to get the most out of Jamf products and succeed with Apple.

Jamf has consolidated its Mac endpoint security and Mac authentication offerings into two comprehensive products: Jamf Connect and Jamf Protect. Here’s the breakdown of how we’ve still got you covered— and on more devices!

In this blog series on AI, we delve into a subset of this technology called Machine Learning (ML) and how it’s designed to effectively “learn” from all manner of resources available to grow its understanding and skills. In the case of cybersecurity, ML can be taught to increase the security posture of your endpoints – and your organization’s overall network – by monitoring, identifying, hunting, detecting and remediating against known and unknown threats as part of Deep Learning practices.

Part two of the blog series on telemetry explores the data-gathering and storage aspects of collecting rich telemetry data. Also, exploring what options are available to organizations to meet their needs, as well as some useful tips to consider when preparing to work with granular data and how to leverage it into actionable tasks, such as how it can inform management workflows.