Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The recent rise of ransomware, attacks on supply chains and increasing costliness of privacy regulations has made cyber insurance an important topic of discussion. But it can be tricky to keep up with cyber insurance requirements. One of the most robust ways to meet those requirements is with multi-factor authentication (MFA).

Let’s say you’ve built a PHP application, but you want to separate it from supporting infrastructure in a way that keeps things lightweight, portable, and still quite secure. You’d like other developers to be able to work on it without having to recreate whole environments. In short, what you want to do with your application is containerize it — package it and its dependencies into containers that can be easily shared across environments.

TrustCloud is thrilled to announce a partnership with VanRein Compliance, a leading managed compliance provider that builds and manages clients’ compliance programs via audits, custom policies and procedures, online training, and more. TrustCloud and VanRein Compliance both share a mission – to make compliance accessible and affordable for all.

We’re thrilled to announce that ManageEngine has once again been recognized as a Customers’ Choice in the 2023 Gartner Peer Insights ‘Voice of the Customer’: Security Information and Event Management (SIEM). This marks the fourth time that ManageEngine has been recognized as a Customers’ Choice, which we believe is a testament to our commitment to providing our customers with exceptional SIEM solutions.

The challenge of administering security and maintaining compliance in a Kubernetes ecosystem is typically the same: an increasingly dynamic, ever-changing, ephemeral landscape. Changes can be rooted in new approaches to cyberattacks or changing regulations. Kubernetes security requires a complex and multifaceted approach since an effective strategy needs to.

The life sciences industry is at the forefront of data-intensive research and innovation. Scientists and researchers rely heavily on the collection, processing, and analysis of vast amounts of data generated by lab instruments. And they are often challenged by errors or confusion in managing data flows that in turn, have a direct impact on the quality of data and corresponding compliance with regulatory requirements.