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.
Unplanned downtime and data loss caused by natural disasters and modern cyber threats represent some of the most challenging events facing organizations today. Maintaining capabilities to reduce or eliminate impact in these scenarios is critical to any business continuity plan. Organizational resilience depends upon being able to protect and ensure the recoverability of data and services wherever and whenever disaster strikes.
Rubrik’s Cloud Data Management (CDM) code features the ability to protect all of your Rubrik login accounts with two-step verification by using the industry-standard time-based one-time-password (OTP) codes. The Microsoft Authenticator app has extended its functionality, recently adding Microsoft account-based autofill capabilities across platforms. Here is a step-by-step guide on how to set it up on Rubrik CDM.
Inherent risks are the cyber risks and vulnerabilities within an organization before security measures are implemented. In contrast, residual risk is calculated after cybersecurity protections have been put in place to protect against all of these inherent risks; its calculation includes every possible attack vector that could affect a system or data.
GitHub is a code versioning tool, which means that it preserves a full history of searchable code changes. Sensitive data can proliferate in these code changes and is not always easily discoverable. Credentials & secrets that are hard-coded in GitHub repositories pose risk if repos are leaked or accessed via social engineering attacks, as they can provide access to infrastructure, databases, and third-party APIs. Likewise, sensitive data like customer PII can end up in code repos.
The Atlassian suite makes remote collaboration easy and efficient for distributed teams. Confluence, one of Atlassian’s best known and widely used apps, is a flexible and customizable wiki solution that can host almost anything for a company. From software documentation and process docs to hosting meeting notes and project plans, the possibilities for what your team can do in Confluence are endless.
Today, personally identifiable information (PII) faces a wide variety of threats. In order to secure PII from leakage and exposure, organizations need to understand the nature of these threats as well as the tools they have at their disposal to ensure that their data remains secure.
Data privacy has been a hot topic in the tech world for years now. With every new technology come new regulations that require companies to completely re-examine the way they handle private data. Most companies already have a basic data privacy policy they constructed alongside lawyers and tech experts to avoid facing serious fines and penalties. However, compliance isn’t just about focusing on current regulations and meeting the bare minimum requirement to avoid legal consequences.
