Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cloud computing has emerged as the go-to organizational workload choice because of its innate scalability and flexibility. However, cloud computing still comes with some security risks. Examining cloud security is an important part of adopting this new technology. Presently, cloud-native security is experiencing changes and innovations that help address security threat vectors.

Illustration by Dorathe Victor Five worthy reads is a regular column on five noteworthy items we discovered while researching trending and timeless topics. In this week’s edition, let’s explore how artificial intelligence and machine learning are weaponized by hackers to fuel cyberattacks. AI and ML are conquering the world at a rapid pace. AI has made life much easier. In many instances, it speeds up manual processes, reduces costs, and eliminates manual errors.

Following our recent announcement about supporting the open source community, LimaCharlie is excited to share that we have decided to sponsor the IntelOwl project.

In the business of security, linking performance metrics to strategy has become an accepted best practice. If strategy is the blueprint for building a security operations center (SOC), metrics are the raw materials. But there is a catch: a security organization can easily lose sight of its strategy and instead focus strictly on the metrics that are meant to represent it.

Every organization has tons of sensitive information stored in the cloud. The unanticipated surge in remote work resulted in an increase in the amount of information stored in the cloud. According to TechJury, 67% of enterprise infrastructure is cloud-based. However, with organizations allowing employees to use both business and personal devices at work, the attack surface has expanded, increasing opportunities for threat actors to target vulnerable devices.