Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Container orchestration platform Kubernetes announced in December 2020 that its third and final release, Kubernetes v1.20, would deprecate dockershim and subsequently Docker as a container runtime. This deprecation has brought multiple changes that admins must be aware of and accordingly respond to.

For over a year the future has lacked clarity. As parts of the world start to open up and the life sciences industry ramps back up to pre-pandemic activity, the fog of uncertainty is starting to lift. We are seeing an acceleration of digital transformation across the Life Sciences industry with the adoption of decentralized trials, real world evidence, and remote monitoring.

The ability for security teams to integrate threat data into their operations substantially helps their organization identify potentially malicious endpoint and network events using indicators identified by other threat research teams. In this blog, we’ll cover how to ingest threat data with the Threat Intel Filebeat module. In future blog posts, we'll cover enriching threat data with the Threat ECS fieldset and operationalizing threat data with Elastic Security.

Commissioning a penetration test is an important step in helping to enhance your organisation’s cyber security resilience. Pen testing costs vary from a few thousand pounds to several thousand more, so it’s essential to ensure that the pen testing you select enables you to achieve the best security outcomes from your budget.

Mergers and acquisitions (M&A) enable companies to add products and services to their portfolios, giving them a way to scale their business. To gain true visibility into a company’s long-term impact on your organization’s bottom line, you need to understand all assets and liabilities, including digital ones.

Image Source: Pexels This blog was written by an independent guest blogger. Historically, the idea of artificial intelligence (AI) saturating our world has been met with suspicion. Indeed, it’s one of the more popular tropes of science fiction — learning machines gain sentience that helps them take over the planet.

Business decision-makers are inundated today with messages about the importance of digital transformation and innovation. If you want to stay ahead of the competition, you're told, you need to take full advantage of the cloud, move to microservices, replace your VMs with containers and so on. Yet what often gets lost or overlooked in those conversations is the digital risk that goes hand-in-hand with digital transformation.

Machine learning is a loaded term. While machine learning offers amazing potential for advancing technologies, it often gets used as a marketing buzzword describing glorified pattern recognition. So it becomes increasingly difficult to know if the application of machine learning to existing technology is going to break new ground or sell more licenses. That’s the problem that Frank Fischer, Product Marketing for Snyk Code, explores in his RSAC 2021 talk ML in SAST: Disruption or Distraction.