Things have been good in security. Really good. For a really long time. We can remember when there were a couple hundred people that showed up for the RSA Conference. Then a couple thousand. Now over 40,000 people descend on San Francisco to check out this security thing. There are hundreds of companies talking cyber. VC money has flowed for years, funding pretty much anything cyber. Cyber cyber cyber.
In this year-end/start firestarter the gang jumps into our expectations for the coming year. Spoiler alert- the odds are some consolidation and contraction in security markets are impending… and not just because the Chinese are buying fewer iPhones.
This is the third (and final) post in our series on Protecting What Matters: Introducing Data Guardrails and Behavioral Analytics. Our first post,Introducing Data Guardrails and Behavioral Analytics: Understand the Mission we introduced the concepts and outlined the major categories of insider risk. In the second post we delved into and defined the terms. And as we wrap up the series, we’ll bring it together via a scenario showing how these concepts would work in practice
It’s that time of year again. The time when Amazon takes over our lives. No, not the holiday shopping season but the annual re:Invent conference where Amazon Web Services takes over Las Vegas (really, all of it) and dumps a firehouse of updates on the world. Listen in to hear our take on new services like Transit Hub, Security Hub, and Control Tower.
Something You Probably Should Include When Building Your Next Threat Models
We are working on our threat modeling here at DisruptOps and I decided to refresh my knowledge of different approaches. One thing that quickly stood out is that nearly none of the threat modeling documentation or tools I’ve seen cover the CI/CD pipeline.
Three of the Most Crucial Sections of the DevSecOps Roadmap
As I mentioned in the (DevSec)Ops vs. Dev(SecOps) post, we’ve been traveling around to a couple of **DevOpsDays conferences **doing the Quick and Dirty DevSecOps talk. One of the things I tend to start with early in the talk is that like DevOps, DevSecOps is not a product. Or something you can deploy and forget. It’s a cultural change. It’s a process. It’s a journey.
This is the second post in our series on Protecting What Matters: Introducing Data Guardrails and Behavioral Analytics. Our first post,Introducing Data Guardrails and Behavioral Analytics: Understand the Mission, introduced the concepts and outlined the major categories of insider risk. This post defines the concepts.
As we begin our series on Multi-cloud logging, we start with reasons some traditional logging approaches don’t work. I don’t like to start with a negative tone, but we need to point out some challenges and pitfalls which often beset firms on first migration to cloud. That, and it helps frame our other recommendations later in this series. Let’s take a look at some common issues by category.
I have concluded that nobody is using Database Activity Monitoring (DAM) in public Infrastructure or Platform as a Service. I never see it in any of the cloud migrations we assist with. Clients don’t ask about how to deploy it or if they need to close this gap. I do not hear stories, good or bad, about its usage. Not that DAM cannot be used in the cloud, but it is not.
A Security Pro’s Cloud Automation Journey
Catch me at a conference and the odds are you will overhear my saying “cloud security starts with architecture and ends with automation.” I quickly follow with how important it is to adopt a cloud native mindset, even when you’re bogged down with the realities of an ugly lift and shift before the data center contract ends and you turn the lights off. While that’s a nice quip, it doesn’t really capture anything about how I went from a meat and potatoes…