One of the most common criticisms of analysts is that, since they are no longer practitioners, they lose their technical skills and even sometimes their ability to understand technology.
Getting back to the Low Hanging Fruit series, let’s take a look at the endpoint and see what kinds of stuff we can do to increase security with a minimum of pain and (hopefully) minor expense. To be sure we are consistent from a semantic standpoint, I’m generally considering computing devices used by end users as “endpoints.” They come in desktop and laptop varieties and run some variant of Windows. If we had all Mac endpoints, I’d have a lot less to do, eh?
Back in Part 1 of our series on Pragmatic Data Security we covered some of the guiding concepts of the process, and now it’s time to dig in and show you the process itself.
I periodically write for Dark Reading, contributing to their Database Security blog. Today I posted What Data Discovery Tools Really Do, introducing how data discovery works within relational database environments. As is the case with many of the posts I write for them, I try not to use the word ‘database’ to preface every description, as it gets repetitive. But sometimes that context is really important.
Back in Part 1 of our series on Pragmatic Data Security, we covered some guiding concepts. Before we actually dig in, there’s some more groundwork we need to cover. There are two important fundamentals that provide context for the rest of the process.
Over the past few months I’ve seen a major uptick in the number of user inquiries I’m taking on enterprise digital rights management (or enterprise rights management, but I hate that term). Having covered EDRM for something like 8 years or so now, I’m only slightly surprised.
Our weekly research meeting started with an optimistic plea from yours truly. Will 2010 finally be the year the signature dies? I mean, come on now , we all know endpoint AV using only signatures is an accident waiting to happen. And everywhere else signatures are used (predominantly IPS & anti-spam) those technologies are heavily supplemented with additional behavioral and heuristic techniques to improve detection.
Good Morning:
I love the Internet. In fact, I can’t imagine how I got anything done before it was there at all times to help. Two examples illustrate my point. On Monday, I went to lunch with the family at Fuddrucker’s, since they had off from school. They say a big poster of Elvis with a title “The King” underneath. They had heard of Elvis, but didn’t know much about him.
We’ve all heard the stories: employee gets upset, says something about their boss online, boss sees it, and BAM, fired. As information continues to stick around, people find it increasingly beneficial to think before launching a raging tweet. Here lies the opportunity: what if I can pay someone to gather that information and potentially get rid of it? Enter ReputationDefender.
As I sit here writing this, scenes of utter devastation play on the television in the background.
It’s hard to keep perspective in situations like this. Most of us are in our homes, with our families, with little we can do other than donate some money as we carry on with our lives. The scale of destruction is so massive that even those of us who have worked in disasters can barely comprehend its enormity. Possibly 45-55,000 dead, which is enough bodies to fill a small to medium sized college…