We spend a lot of time focusing on simplifying cloud management and many of the most difficult IT challenges for our customers that we sometimes forget how unique this is. Which is why we were pleasantly surprised when CRN told us they were naming 11:11 Systems to its Stellar Cloud Startup list.

As a CurrentWare customer, these quarterly product updates are included at no additional cost as a part of your subscription. Need help upgrading? Our team is here to assist you every step of the way. We offer comprehensive documentation, training resources, and personalized support to ensure a smooth transition. Should you have any questions or need further assistance, please reach out to our support team.

What keeps CISOs up at night? The extended, often unsecured, ever-changing attack surface of critical supply chain vendors providing an unmonitored pathway into their enterprise. Emerging zero-day vulnerabilities, like MOVEit and SolarWinds, are time-sensitive issues that require immediate attention by security teams that are often over-burdened with securing the local enterprise.

We are thrilled to announce the launch of Bearer's advanced GitLab integration! Building on the lessons learned from our successful GitHub App, this integration aims to revolutionize the GitLab experience for our customers, enhancing both the developer and security workflow.

Today, Cato is furthering our goal of simplifying security operations with two important additions to Cato SASE Cloud. First, we’re leveraging generative AI to summarize all the indicators related to a security issue. Second, we tapped ML to accelerate the identification and ranking of threats by finding similar past threats across an individual customer’s account and all Cato accounts.

If, as the saying goes, two’s company and three’s a crowd, then, as of today, consider our Disaster Recovery trophy case standing room only. The unfortunate reality of today’s cybersecurity landscape is this: It’s not a matter of when, but if, your organization’s defenses will be tested. Success in these tense moments, when your adrenaline is pumping and time and attention are at a premium, requires more than just the right technology.

Today, we’re excited to announce a new integration with Amazon SageMaker! SageMaker helps companies build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. By leveraging JFrog Artifactory and Amazon SageMaker together, ML models can be delivered alongside all other software development components in a modern DevSecOps workflow, making each model immutable, traceable, secure, and validated as it matures for release.