Firestarter: Invent Security Review

By Rich
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. Watch or listen:

DisruptOps: Something You Probably Should Include When Building Your Next Threat Models

By Rich
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. Read the full post at DisruptOps

DisruptOps: Three of the Most Crucial Sections of the DevSecOps Roadmap

By Mike Rothman
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. Read the full post at DisruptOps

Protecting What Matters: Defining Data Guardrails and Behavioral Analytics

By Rich
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. Data security has long been the most challenging domain of information security, despite being the centerpiece of our entire practice. We only call it “data security” because “information security” was already taken. Data security must not impede use of the data itself. By contrast it’s easy to protect archival data (encrypt it and

Building a Multi-cloud Logging Strategy: Issues and Pitfalls

By Adrian Lane
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. Tooling Scale & Performance: Most log management and SIEM platforms were designed and first sold before anyone had heard of clouds, Kafka, or containers. They were architected for ‘hub-and-spoke’

DisruptOps: The 4 Phases to Automating Cloud Management

By Rich
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 (firewall and patch management) kind of security pro

DAM Not Moving to the Cloud

By Adrian Lane
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. There are certainly some reasons firms invest security time and resources elsewhere. What comes to mind are the following: PaaS and use of Relational: There are a

DisruptOps: Consolidating Config Guardrails with Aggregators

By Rich
Disrupt:Ops: Consolidating Config Guardrails with Aggregators In Quick and Dirty: Building an S3 guardrail with Config we highlighted that one of the big problems with Config is you need to build it in all regions of all accounts separately. Now your best bet to make that manageable is to use infrastructure as code tools like CloudFormation to replicate your settings across environments. We have a lot more to say on scaling out baseline security and operations settings, but for this post I want to highlight how to aggregate Config into a unified dashboard. Read the full post at DisruptOps

Cloudera and Hortonworks Merge

By Adrian Lane
I had been planning to post on the recent announcement of the planned merger between Hortonworks and Cloudera, as there are a number of trends I’ve been witnessing with the adoption of Hadoop clusters, and this merger reflects them in a nutshell. But catching up on my reading I ran across Mathew Lodge’s recent article in VentureBeat titled Cloudera and Hortonworks merger means Hadoop’s influence is declining. It’s a really good post. I can confirm we see the same lack of interest in deployment of Hadoop to the cloud, the same use of S3 as a

Building a Multi-cloud Logging Strategy: Introduction

By Adrian Lane
Logging and monitoring for cloud infrastructure has become the top topic we are asked about lately. Even general conversations about moving applications to the cloud always seem to end with clients asking how to ‘do’ logging and monitoring of cloud infrastructure. Logs are key to security and compliance, and moving into cloud services – where you do not actually control the infrastructure – makes logs even more important for operations, risk, and security teams. But these questions make perfect sense – logging in and across cloud infrastructure is complicated, offering technical challenges and huge potential cost overruns if implemented poorly. The road to
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