In today’s digital age, organizations across industries are increasingly reliant on technology for their operations, communication, and data management. While this technological advancement is no doubt beneficial, it also brings with it a heightened risk of cyber threats and attacks. From data breaches and ransomware attacks to intellectual property theft and financial fraud, the consequences of a cybersecurity breach can be devastating for any organization.

If you wanted to switch from one project management tool to another, what would happen to your data? As more and more business operations undergo digital transformations and move online, organizations have become more reliant than ever on their digital data. Many take for granted that their data is their own and that they can take it with them if they change tools. But for those who rely on third-party tools, control of data may not be so simple.

In today’s digital landscape, organizations need the right cybersecurity applications to address evolving cyber threats effectively. To keep security teams aligned and streamline mission-critical workflows, one of the most important cybersecurity applications organizations need is a secure and efficient cybersecurity collaboration platform that enables seamless communication, information sharing, and coordinated incident response.

Organizations — particularly those with high security and compliance requirements — need a customizable way to explore and innovate with artificial intelligence and other new technologies. This is why we’re happy to introduce OpenOps, an open source platform designed to help organizations experiment with AI in a secure environment they control. OpenOps is a framework of several tools that enables you to test open source AI models in a sandbox.

Software development errors can wreak havoc on organizations. When software bugs make it into production due to human error, organizations can lose a lot of money. At the same time, software failures can ruin a company’s reputation, creating dissatisfied customers and crushing productivity. Depending on how bad the errors are, software companies can even face legal and compliance penalties.

Channels are at the core of how teams collaborate in Mattermost. While team conversations take center stage, every channel is packed with additional features to help you stay in sync. Today, let’s take a closer look at channel headers, and how you can use them to help your team use Mattermost channels more effectively.

As more and more of the public sector enact large-scale digital transformation initiatives, government organizations must find new ways to manage massive amounts of data securely while maintaining compliance. With new mandates from the Biden administration to enhance cybersecurity best practices in both the private and public sectors, organizations like the Department of Defense (DoD) face new challenges to their data management and communication practices.

More than 26,000 software vulnerabilities were discovered in 2022 – a new record – and critical vulnerabilities were up 59% over 2021, the previous record-high year. In other words, despite years of DevSecOps, software doesn’t seem to be getting more secure. Release management can help. A crucial goal of release management is vulnerability-free software.

While organizations are quickly adopting AI to automate tasks and improve operations, it’s important to consider the security risks associated with integrating AI into your company’s processes and software. AI not only brings an opportunity to increase efficiency but also introduces additional risks to your organization if not used responsibly — just like a recent example from Samsung has shown.

Catastrophic failures — such as a security breach or a complete outage leading to an unavailable product or service — are classified as Sev0 incidents. On a severity scale of 1–3, Sev0 is dire. It brings business to a complete standstill and may lead to loss of revenue and a damaged reputation. A Sev0 incident usually has no quick workaround; it requires a coordinated effort beyond the engineering team to diagnose, correct, and manage.