Some of the world’s largest tech companies, like Google and Microsoft, have embedded AI into their business productivity suites, with Microsoft going a step further and releasing AI Copilot for Power Apps, its low-code platform. This integration has raised concerns over the decision-making power granted to business users to integrate data with AI and grant access, which can be done without oversight or control from IT.
As businesses access larger and more intricate datasets, data discovery has become a key component in successful data analysis. By uncovering meaningful patterns and insights in datasets, data discovery helps organizations better understand their customers, products, and processes to enable optimum decision-making. With the correct tools and strategies, data discovery can be invaluable in helping organizations maximize the value of their data.
In my previous blog, I shared details about the global proliferation of data privacy regulations, including the fact that at least 10% of U.S. states will be covered by stronger data privacy regulations by the end of 2023. However, an interesting trend has emerged: Newer regulations such as the California Privacy Rights Act (CPRA), General Data Protection Regulation (GDPR), and Brazil’s Data Protection Law (LGPD) all regard employees’ personal data as highly-sensitive.
In 2023, an estimated five quintillion bytes of data will be created daily. While this data revolution is exciting, it also raises questions about data privacy. In response to that challenge, more regions, localities, and countries will implement additional data privacy laws in the coming years to ensure the safety of individuals’ data.
Imagine doing business in a bubble. You are an international company only allowed to make decisions using data collected within your country and by your business unit (BU). You also cannot share data with subsidiaries or third parties. It would be challenging to conduct day-to-day business, let alone innovate and grow. Fortunately, this isn’t the state of business today. Organizations transfer trillions of data points across borders daily.
Are you still relying on legacy backup systems to protect your business from cyber attacks? If so, you might want to think twice. Cyber attacks have become so common that 98% of security and IT leaders reported that they dealt with at least one in the last year. Relying on legacy backups as a defense against cyber attacks is not only ineffective but also obsolete in today's rapidly evolving threat landscape.
The Nightfall platform is lauded by customers for its high accuracy detection of sensitive data across a variety of cloud environments. This helps users save time by only surfacing the most relevant and most critical instances of sensitive data exposure. We’re always looking for ways to continue to build value in this area, and many of our feature updates like our new PHI detector and enhanced secrets detection releases accomplish this.
