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Cybersecurity Documentation: The Best Defense Is a Good Offense

Most people do not regard their cybersecurity and privacy documentation as a proactive security measure. On the contrary, many oftentimes view documentation as a passive effort that offers little protection to a company, generally an afterthought that must be addressed to appease compliance efforts.

In-House Counsel: Best Legal Practices in Data Breaches

The likelihood that your organization will suffer a material data breach in the next 2 years is nearly 28%, and that’s higher than last year’s risk according to The Ponemon Institute’s 2018 Cost of a Data Breach Study: Global Overview. Counsel’s best strategy is to insist on a strong organizational plan to quickly and effectively respond to data breaches and, ultimately, prevent them in the future.

French Data Protection Authority fines Google Euro50 million under the GDPR

France’s national data protection authority (CNIL — Commission Nationale de l’informatique et des Libertés) ordered its first sanction under the EU’s General Data Protection Regulation, or as commonly called as the GDPR. In this sanction, the CNIL fined Google a whopping €50 million because of Google’s failure to comply with the GDPR provisions when a user sets up his new Android phone and follows the subsequent process.

Leveraging Service Accounts for Label-based Security

One of the key Kubernetes security concepts is that workload identity is tied back to information that the orchestrator has. The orchestrator is actually the authoritative entity for what the actual workloads are in the platform. Kubernetes uses labels to select objects and to identify collections of objects that satisfy certain conditions. We, and others in the Kubernetes networking space, often talk about using Kubernetes ‘labels’ as identity bearers.

Operational Data: A Roadmap to Value Creation

Data growth is running at close to seven exabytes per day; estimates are that in three to five years' time, growth will be closer to 15 to 25 exabytes per day. Yet many organizations fail to realize the business value of their data, lack the tools and processes to collect and analyze data more effectively, and do not understand how to calculate its return on investment (ROI) potential.