Every software organization has long balanced the interlock between software developers and software quality assurance testers. While developers aim to build software to business requirements, it’s the QA team’s job to verify that they actually did.
Surprisingly, many organizations have yet to move beyond the traditional compliance-driven approach to cybersecurity. However, to address today’s risk of a cyber breach — which can lead to an organization’s data being compromised or a disruption to business operations — cybersecurity organizations need to focus on delivering the level of security required to protect corporate assets and align with the strategic goals and objectives of the business.
Okay... and we’re back! Yes, there’s been a bit of a hiatus since you’ve heard from us in Core Security, but that’s not because we haven’t been busy. In fact, we’ve released a number of enhancements for both the security and user administration experiences of Splunk Enterprise. Going forward, we’ll be a bit more visible bringing you details on these enhancements.
Editor’s note: This post is a collaboration between Tim Tully, Splunk CTO, and Spiros Xanthos, Splunk’s vice president of product management for observability and IT Ops and previously the founder and CEO of Omnition. My love for the open-source software movement began with Linux in the ’90s and grew during my time at Yahoo! in the early days of Hadoop.
What’s the buzz around AIOps? According to Gartner, “AIOps is the application of machine learning (ML) and data science to IT operations problems.” Though the terms AI and ML conjure images of almost magical capabilities, devoid of connection to the domain in which it’s applied, actually the reality is far different.
We are excited to partner with AWS in launching AWS Bottlerocket, a container optimized operating system. Bottlerocket gives DevOps teams speed, efficiency and security in containerized environments.
Once you’ve reached the point where you want to deploy your machine learning models to production, you will eventually need to monitor operations and performance. You might also want to receive alerts in case of any unexpected behavior or inconsistencies with your model or your data quality. This is where you most likely start learning about various aspects of Machine Learning Operations (MLOps).
From an economic perspective, we see COVID-19 as the thing that brought global business to a standstill. But I think that in the longer term, we’ll see it as the catalyst for accelerated digital transformation. The effect of the virus on business and IT leaders has been to dramatically compress the strategic long view. The trends businesses saw coming over the next five to ten years, the developments that will drive growth opportunities or pose a disruptive threat ...
As colleges and universities work through their plans for a safe reopening this fall, they’re realizing that one of the most profound impacts of the COVID-19 pandemic has been the system shock it delivered to the planning process. Post-secondary institutions have always had to be masters of innovation.
Compliance has often been a checkbox exercise, primarily seen as a defensive strategy in preventing financial penalties and PR embarrassments. However, some organizations have taken a different approach. They’ve used compliance on the offensive - to give a competitive edge, turning “compliance teams” into “innovation teams”. These companies have improved processes and increased customer experience. They’ve installed an elevator instead of fixing the ladder.
