The Cyber Resilience Act is an upcoming European Union legislation that aims to implement more rigorous cybersecurity commitments, documentation, and vulnerability reporting requirements for the IT industry. The legislation would apply to developers, distributors, manufacturers and retailers of hardware, devices, software, applications, and other “products with digitally connected elements” sold within the EU. The requirements you need to meet depend on the CRA classification of products.

Upgrading your Ubuntu to 24.04.1 LTS is a breeze.

In this webinar, Henry Coggill will showcase USG (the Ubuntu Security Guide) and demonstrate how it can automate compliance requirements. We will discuss the hardening profiles that are available, including DISA-STIG and CIS benchmarks, then cover setting up and configuring the tool and demonstrate the configuration options that you can make for maximum security and coverage of the STIG rules.

In this last episode of the automotive webinar series we are joining our partner Advantech to deep dive into the security of one key infrastructure that communicates with connected vehicles: charging stations for electric vehicles (EV). Join us to hear about.

In this third episode of the automotive webinar series, we will focus on securely handling data in automotive and edge computing.

Data lake is a very large scale data processing paradigm that disrupts the conventional data warehousing model. Data lakes can offer greater flexibility whilst retaining the benefits and efficiency of centralised data governance. With Canonical OpenStack private cloud platform, Kubernetes and Charmed Spark solutions, your data lake architecture can also benefit from extended flexibility and scalability whilst remaining cost effective to operate.

Kubernetes has proven to be a vital tool for developing and running ML models. It enhances experimentation, workflow management, and ensures high availability while handling the resource-intensive nature of AI workloads. With optimizations, Kubernetes can further improve resource utilization, making AI/ML projects more efficient.

Confidential computing is a revolutionary technology that disrupts the conventional threat model of public clouds. In the past, vulnerabilities within the extensive codebase of the cloud’s privileged system software, including the operating system and hypervisor, posed a constant risk to the confidentiality and integrity of code and data in operation. Likewise, unauthorized access by a cloud administrator could compromise the security of your virtual machine (VM).