In today’s world, data breaches are a fact of life for both consumers and companies. It’s become somewhat of a truism to point out that for many companies breaches are a matter of if not when as defenders are at a significant disadvantage.
While data security has been an important topic since the internet’s inception, the issue is experiencing renewed prominence as platforms collect and struggle to secure copious amounts of personal information and prevent cyberthreats at the same time. The early 2000s were characterized by unprecedented growth and participation in the digital data economy, but the 2010s saw the creeping consequences of this ecosystem.
Data loss refers to the unwanted removal of sensitive information either due to an information system error, or theft by cybercriminals. Data leaks are unauthorized exposures of sensitive information through vulnerabilities on the digital landscape. Data leaks are more complex to detect and remediate, they usually occur at the interface of critical systems, both internally and throughout the vendor network.
Many organizations are equipped to handle insider threat and external, common well-known challenges (like malware, for instance). These so-called “intentional” threats can be addressed through proactive security measures and best practices. But what about the unintentional risks that come with operating in a cloud-first environment? Unintentional mistakes, such as misconfiguring cloud infrastructure, can be equally devastating.
If your development team isn’t yet using shift-left testing, you could be wasting time, money, and energy. Teams that practice shift-left testing are able to identify potential roadblocks early in the process, change scope when needed, and improve design to avoid buggy code. When a bug does occur, it can be identified and dealt with quickly so as not to impact the project later on. Shift-left testing proposes to help agile teams become more agile.
Atlassian made a big splash in cloud SaaS news when they announced that the company would stop selling new on-prem server licenses as of February 1, 2021. Upgrades of existing server licenses will continue to be available through the third quarter of 2022. Impacted services include Jira Software Server, Jira Core Server, Jira Service Desk Service, Confluence Server, Bitbucket Server, Crowd Server, Bamboo Server, Atlassian-built apps, and Atlassian Marketplace server apps.
Before GDPR, PIA (Privacy Impact Assessment) were a thing. This topic is around privacy impact assessment, its purpose, PIA vs DPIA and includes the underlying context of GDPR compliance. The monotony has been changed since the General Data Protection Regulation (GDPR) came into existence; it has significantly changed the concept of data privacy and security.
What is Data Safety, why is it important, and how do you go about designing into the foundations of your data environment? When you see the phrase "Data Safety", the chances are you think of Data Security. Most people do. What is far less likely is that you think of the other two pillars of Data Safety: Data Privacy and Data Governance. Clearly, all three pillars overlap.
The HIPAA Journal reported that “2020 was the worst ever year for healthcare industry data breaches.” In the US alone, there were 642 reported data breaches in which the number of records stolen exceeded 500, and in total, nearly 29.3 million healthcare records were exposed.
Enterprises are undergoing a dizzying pace of digital transformation. For many organizations, real-time analytics and insights are critical to the success of their transformation, and SAP HANA has become their database of choice, making their protection a must. While SAP HANA provides a rich ecosystem of native backup and recovery tools to specialist DBAs, they are often not accessible by the backup and infrastructure teams.
