Leveraging Decentralized Intelligence & Security: Cybersecurity Mesh Architecture

Jeremy Nelson, Director of Services on Tuesday, November 22, 2022

Cybersecurity mesh architecture is the term used to describe a new, holistic approach to cybersecurity. This approach is composable, scalable, and a great fit for companies with widely distributed assets (such as hybrid and multicloud environments). CSMA provides flexibility and resiliency to a security ecosystem, rather than running security tools in a silo.

PCI DSS v4.0: What Companies Need to Know to Prepare for the New Standards

Scott Sweren, Security Solutions Principal on Tuesday, November 15, 2022

With PCI DSS v4.0 compliance changes coming in 2024, many organizations may be wondering where to start and how this will impact their operations. In this blog, learn about the upcoming changes and challenges to prepare for the successful implementation of the new standards.

Pay Your Developers to Write Code, Not Manage It

Brad Nelson, Product Strategy & Agility Manager on Tuesday, November 15, 2022

The most expensive cost of any project is man-hours. For example, let’s examine the common vehicle repair of replacing a head gasket. A quick Google search shows that the average head gasket repair ranges in the thousands, and yet, the gasket itself can cost as little as $10. This is because head gasket [...]

There’s No ML Without Data

Carm Taglienti, Chief Data Officer and Distinguished Engineer on Friday, November 11, 2022

Businesses generate large amounts of data every day. The more data your business generates, the more potential there is for confusion surrounding that data: What is the data telling you? Do you have the data you need? And most importantly, are you asking the right questions?

MLOps: Challenges, Misconceptions, and Mindset

Greg Steinmetz, National Data & AI Practice Director on Thursday, November 03, 2022

Every business generates massive amounts of data that can be used to improve decision-making, whether the decision is where to go as an organization, how to improve processes, how to manage customer relations, or something else. Data can also help solve business challenges like how to increase revenue, increase efficiency, or how to make an application smarter.