Operations | Monitoring | ITSM | DevOps | Cloud

For just about any organization, there’s a balance that has to be struck between absolute security and absolute convenience. Seemingly, every new innovation that increases convenience also introduces new risks. On the other hand, every safeguard instituted can also create complexity, delays, or in some other way diminish the user experience. Either way, businesses are exposed, whether to the catastrophic consequences of breaches, or of an erosion of user productivity and customer retention.

Logz.io recently obtained the Amazon Web Services (AWS) Security Competency for our Cloud SIEM. We are thrilled to support the re-launch of the AWS Security Competency, as clearly the only way to combat today’s cybersecurity challenges is to modernize your analytics platform to respond to today’s evolving threat landscape.

GitHub is one of the most popular source control platforms available. It relies on Git concepts, and millions of developers use it. GitHub Actions embrace all aspects of what source control needs, such as branching, pull requests, feature flags, and versioning. It also integrates nicely into third-party continuous integration and continuous development (CI/CD) pipelines or deployment tools like Azure DevOps, Jenkins, GitLab, and Octopus Deploy.

Consumers expect their personal information to be safe in your hands as they use your apps, services, and stores. Even in-person retailers collect customer data for loyalty programs, shopping history, and more. In addition, regulators and auditors — and while we’re at it, let’s add investors, board members, and partners to the list of people who expect all customer data to be secure at all times.

According to the 2021 Cost of Data Breach report, the average attack “dwell time”—the period between an attacker’s breach of an organization’s network and the point at which the organization finds out about it—is 287 days. During this time, the attacker can stealthily look to gather valuable information to steal or compromise data, incurring huge costs for affected companies.