As we resume our Network-based Malware Detection (NBMD) 2.0 series, we need to dig into the malware detection/analysis lifecycle to provide some context on where network-based malware analysis fits in, and what an NBMD device needs to integrate with to protect against advanced threats. We have already exhaustively researched the malware analysis process. The process diagram below was built as part of Malware Analysis Quant.
Some of our first customer conversations about big data and SIEM centered on how to integrate the two platforms. Several customers wanted to know how they could pull data from different existing log management and analytics systems into a big data platform. Most were told by their vendors that big data was; and they wanted to know what that integration would look like and how it would affect operations. Likely you won’t be doing the integration, but you will need to live with the design choices…
We realize it has been a while, but we are insanely excited to open up the next phase of the Securosis Nexus beta test. This is an open beta but we reserve the right to kick out anyone who annoys us.

As I continue working through my reading backlog I find interesting stuff that bears comment. When the folks over at NSS Labs attempted to poke holes in the concept of security layers I got curious. Only 3% of over 606 combinations of firewall, IPS, and Endpoint Protection (EPP) actually successfully blocked their full suite of attacks?
I am in the airport lounge after attending the WWDC keynote, and here are some quick thoughts on what we saw today:
From Share and share alike? Not Quite, by Mike Mimoso at Threatpost:
“With retail, the challenge is that most of the companies we share with are direct competitors,” Phillips said. “From a security perspective, you have to get over that and share because we’re all facing the same challenges. There’s no way any of us will win the war on our own.”

After a week of travel I am finally working through my reading list, and got around to RSnake’s awesome “Talk with a Black Hat” series. Check out Part 1, Part 2 and Part 3. He takes us behind the curtain – but instead of discussing impact, which your fraud and loss group can tell you – he documents tactics being used against us all the time.
So why are we talking about this? Because APIs are becoming the de facto service interface – not only for cloud and mobile, but for just about every type of service. The need for security around these APIs is growing, which is why we have seen a rush of acquisitions to fill security product gaps. In what felt like a couple weeks Axway acquired Vordel, CA acquired Layer7, and Intel acquired Mashery. The acquirers all stated these steps were to accommodate security requirements stemming from…
I haven’t been writing much over the past few weeks because I took a few weeks with the family back in Boulder. The plan was to work in the mornings, do fun mountain stuff in the afternoons with the kids, and catch up with friends in the evenings. But the trip ended up turning into a bit of medical tourism when a couple bugs nailed us on day one. For the record, I can officially state that microbrews do not seem to cure viruses. But the research continues…
So why are we looking at big data, and what problems can we expect it to solve that we couldn’t before? Most SIEM platforms struggle to keep up with emerging needs for two reasons. The first is that threat data does not come neatly packaged from traditional sources, such as syslog and netflow events. There are many different types of data, data feeds, documents, and communications protocols that contain diverse clues to a data breaches or ongoing attacks. We see clear demand to analyze a broader…