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The COVID-19 pandemic has indelibly changed the way we all work. As the world has opened back up and organizations have begun making the return to the office, many employees still want a hybrid work model. In an ideal hybrid working model, employees feel empowered and more productive given the freedom to do their work from any location or device, whenever it’s most convenient. Users need fast, secure access to their data, regardless of where their applications are located.

Information ecosystems in the modern era are extremely complicated. Large amounts of data must be sent quickly and securely among thousands of networks’ applications, databases, and servers. That data, particularly sensitive information, should be protected at all costs against potential security incidents.

Cybercrime has become more prevalent since the start of the COVID-19 pandemic. Indeed, 81% of organizations worldwide experienced an uptick in cyber threats and 79% suffered downtime due to cyberattacks during peak season, according to a 2021 report by McAfee Enterprise and FireEye. Attacks have also become more complex. IBM and the Ponemon Institute report that the average time to spot and contain a data breach in 2021 was 287 days, a week longer than in 2020.

Ransomware, phishing, and malware are persistent and ever-evolving threats that today’s remote workspaces need to consider. The shift to a remote-first office, which for many has become permanent, has meant that companies need to be better equipped to protect their data in the cloud. Today, more than 45% of malware is delivered via the cloud.

When it comes to how truly intelligent Artificial Intelligence (AI) is, it’s a polarizing debate. Either AI will solve the world’s woes or robots will rule us all – Matrix-style. But it’s all a little more complicated than Hollywood makes it seem… For a deep dive, do listen to our Beyond the Data podcast hosted by Sophie Chase-Borthwick (Calligo’s Global Data & Governance Lead) and Tessa Jones (VP of Data Science Research & Development).

All the risk management measures an organization might take to address cybersecurity threats depend on one critical question: What is the organization’s risk tolerance? Risk tolerance is a concept borrowed from investment strategy and is part of various risk assessment methodologies. Investors with high risk tolerance are willing to endure volatility in the stock market and engage in risky investments; those with a low risk tolerance are more cautious.

All organizations have a team of C-suite executives to set strategy and run the business. Typically that group looks quite similar from one organization to the next, with the chief executive officer, chief technology officer, and chief financial officer among the most important. But do you also have a chief risk officer? Do you even need a “CRO”? What are the CRO’s responsibilities, anyway; and what is his or her role in enterprise risk management (ERM)?

If you are considering Azure Files as the persistent storage for your Azure Kubernetes Service (AKS) applications, there are important considerations around AKS backup and recovery with implications on how you can perform Dev, Test, and Staging. This article outlines these data management considerations in detail and how to work around Azure Files limitation to achieve feature parity with using Azure Managed Disks.

The Security Accounts Manager (SAM) is a database file in Windows operating system that comprises of usernames and passwords. The main aim behind SAM is to make our system more secure and reliable by protecting credentials in case of a data breach. Configuring SAM gives users the ability to authenticate themselves to the local machine if an account has been created for them in security accounts manager.