In many industries (finance and healthcare, to name a couple), regulations require the use of multi-factor authentication (MFA) to protect access to sensitive data and transactions. Also, an important executive order was issued, aimed at improving the cybersecurity posture within the US government by requiring all federal agencies to adopt MFA systems. Regulations and standards like these will continue to spread over more industries and transaction types.

In the digital age of modernizing payment services and opening financial services, data is a pivotal step in transitioning the payment industry from Open Banking to Open Finance. Through Open Banking, third-party service providers have secured and permissioned access to users’ bank account information. Through Open Finance, customers can securely share non-banking data like mortgages, pensions, insurance, taxes, savings, etc. via APIs.

The pharmaceutical industry generates a great deal of identifiable data (such as clinical trial data, patient engagement data) that has guardrails around “use and access.” Data captured for the intended purpose of use described in a protocol is called “primary use.” However, once anonymized, this data can be used for other inferences in what we can collectively define as secondary analyses.

It's hardly groundbreaking to mention the importance of data privacy in the digital world and in business…it's a topic we've previously explored. However, acknowledging its significance is one thing, implementing actionable steps is another. This realization is the inspiration behind this article. There’s no need for you to jot anything down or replicate the checklist, as we’ve prepared a downloadable gated version ready at the conclusion of this article. So let’s get into it.

When a data breach occurs, your response is critical. What do you do first? Do you have a plan for communicating with business units, regulators and other concerned parties? The integrity and security of data infrastructure stand as paramount concerns for business leaders across all sectors. As technology evolves and threats become more sophisticated, the pursuit of an unbreakable data infrastructure remains an ongoing challenge.

For enterprises, commercial use of AI is still in its early stages, and it’s a case of risk and reward, weighing up both and investigating the best way forward. Of course, there’s much to gain from the use of AI. Already, companies are providing better customer service, parsing complex information through natural language inputs, and generally making workflows faster.

IT security professionals need to recognize the critical importance of securing data pipelines in a data-driven corporate environment.

Django is a “batteries-included” framework. It has a wide array of built-in features that handle common web development tasks: URL routing, template engine, object-relational mapping (ORM), and database schema migrations. This makes it highly efficient for rapid development, allowing developers to focus on building their applications' unique aspects without reinventing basic functionalities.

Geopolitical Instability Raises Threat of ‘Catastrophic Cyberattack in Next Two Years’- Global Cybersecurity Outlook 2023 – World Economic Forum As the world’s attention remains fixated on the unfolding events in Taiwan, Ukraine & Iran, it’s crucial to recognize that the theater of battle extends far beyond physical borders into the shadowy area of cybersecurity.