The Software Development Lifecycle (SDLC) framework defines the entire process required to plan, design, build, release, maintain and update software applications, including the final stages of replacing and decommissioning an application when needed. A Secure SDLC (SSDC) builds on this process, integrating security at all stages of the lifecycle. When migrating to DevSecOps (collaboration between Development, Security, and Operations teams), teams typically implement an SSDLC.

While working on the integration of CFEngine Build into Mission Portal we came to the point where we needed to start executing separate tools from our recently added daemon - cf-reactor. Although it may seem like nothing special, knowing a bit about the process creation and program execution specifics (and having to fight some really hard to solve bugs in the past) we spent a lot of time and effort on this step.

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.

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.