Speaking of Security - The RSA Blog and Podcast
We are sometimes asked to compare our threat detection and response solutions to those custom assembled by security experts using various open source products. With a wide array of quality point solutions available, it’s natural to consider whether a combination of best-of-breed open source solutions can be a better option for a particular organization,...
This week, we continue our journey through the seven steps you can follow to build a risk management framework for information. We’ve already looked at how to identify important information that may be at risk in your organization, where to find the information and how to assess the risk it presents within its business context. If you’ve followed these...
In RSA’s quest to build out a deeper pool of future Defenders of the Digital Universe I had the pleasure of having Meghan O’Connor as a summer intern on my team. During her exit interview I asked her what she didn’t realize about cybersecurity and fraud prevention prior to her internship and what advice she would now give. Didn’t realize… How common...
By Tim Norris Mobile and Cloud have raised the stakes for security in general and for identity-related security challenges in particular. But while identity-related risk has grown tremendously, in many ways, the risks themselves are ones we’ve long recognized – such as orphaned accounts, segregation of duties (SoD) violations and privileges following...
In the last couple of weeks, we’ve been talking in this space about the seven steps to building a risk management framework for information, starting with the first step of identifying information that needs to be protected and then going on to the second step, which is determining where that information exists inside your organization and its extended...
Nowadays, it is common to use machine learning to detect online fraud. In fact, machine learning is everywhere. Due to its independent nature and human-like intelligence qualities, machine learning does, at times, seem like an inexplicable “black box.” But truth be told, machine learning doesn’t have to be like that. Here is what you should know if...
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