webAI and MacStadium(link is external) announced a strategic partnership that will revolutionize the deployment of large-scale artificial intelligence models using Apple's cutting-edge silicon technology.
With data breaches consistently being in the news over the last several years, it is no wonder why data privacy has become such a hot topic and why the European Union (EU) has put in place General Data Protection Regulation (GDPR) which will become enforceable on May 25, 2018, which is less than a month away!
GDPR applies to any company that collects or processes the personal data of EU data subjects, which could be EU residents or visitors. It regulates how to protect an individual's Personally Identifiable Information (PII), which includes all data that could potentially be used to identify an individual such as their name or e-mail address. And the fines for non-compliance are severe up to 20 million euros or 4% of the worldwide annual revenue of the prior financial year, whichever is higher.
While authorities will be reliant on customers reporting non-compliance and there will be a bigger focus on more serious violations, it is important to identify areas of risk and to take appropriate action. GDPR stresses that software which handles PII follow principles of data protection by design and by default. An appropriated technical and organizational measure to achieve this is with "pseudonymization."
Pseudonymisation is an overarching term for obfuscation approaches like data masking which intends to secure confidential information that directly or indirectly reveal an individual’s identity.
Data masking is the ability to replace or obfuscate sensitive data with a non-sensitive equivalent. So, for example, rather than using credentials that reflect an individual’s name such as "nturner" using something like "xyz9876". Now this approach only works if in the same application that data masking can't indirectly reveal an individual's identity by associating with a captured IP address or e-mail.
Only data that is truly anonymous is exempted from data protection but data that has the potential to reveal identifies is classified as pseudonymized which is still considered personal data. GDPR does incentivize the use of leveraging pseudonymization as part of your security posture to satisfy the design of data protection. In the case of a data breach, if the data is unintelligible to any person who is not authorized to access it then certain notification requirements are no longer required. Additionally, data access requests and disclosure requirements are relaxed when pseudonymization is leveraged.
So how does all of this pertain to the use of software in your infrastructure or in the cloud? For applications where PII is not required as part of use of the platform, it is recommended to employ data masking for user credentials associated with access to the software; and in scenarios where email addresses are needed, that group distribution lists or associated masked email addresses are leveraged. This is so that in the event of a data breach, there is no direct PII available in that system and the information would be unintelligible as it would require access to additional systems to correlate back to an individual.
Of course, that is easier said than done, but again considering the severity of non-compliance the associated work of limiting exposure by employing data masking is a small price to pay that will benefit your organization in the long run.
Industry News
Development work on the Linux kernel — the core software that underpins the open source Linux operating system — has a new infrastructure partner in Akamai. The company's cloud computing service and content delivery network (CDN) will support kernel.org, the main distribution system for Linux kernel source code and the primary coordination vehicle for its global developer network.
Komodor announced a new approach to full-cycle drift management for Kubernetes, with new capabilities to automate the detection, investigation, and remediation of configuration drift—the gradual divergence of Kubernetes clusters from their intended state—helping organizations enforce consistency across large-scale, multi-cluster environments.
Red Hat announced the latest updates to Red Hat AI, its portfolio of products and services designed to help accelerate the development and deployment of AI solutions across the hybrid cloud.
CloudCasa by Catalogic announced the availability of the latest version of its CloudCasa software.
BrowserStack announced the launch of Private Devices, expanding its enterprise portfolio to address the specialized testing needs of organizations with stringent security requirements.
Chainguard announced Chainguard Libraries, a catalog of guarded language libraries for Java built securely from source on SLSA L2 infrastructure.
Cloudelligent attained Amazon Web Services (AWS) DevOps Competency status.
Platform9 formally launched the Platform9 Partner Program.
Cosmonic announced the launch of Cosmonic Control, a control plane for managing distributed applications across any cloud, any Kubernetes, any edge, or on premise and self-hosted deployment.
Oracle announced the general availability of Oracle Exadata Database Service on Exascale Infrastructure on Oracle Database@Azure(link sends e-mail).
Perforce Software announced its acquisition of Snowtrack.
Mirantis and Gcore announced an agreement to facilitate the deployment of artificial intelligence (AI) workloads.
Amplitude announced the rollout of Session Replay Everywhere.
Oracle announced the availability of Java 24, the latest version of the programming language and development platform. Java 24 (Oracle JDK 24) delivers thousands of improvements to help developers maximize productivity and drive innovation. In addition, enhancements to the platform's performance, stability, and security help organizations accelerate their business growth ...