This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Data breaches often exploit vulnerabilities in software, weak passwords, or insider threats to gain access to critical systems and exfiltrate data. Data breaches wreaked havoc on businesses from data management to healthcare in 2024.
A frequent strategy, for example, is to encrypt a company’s files and data, making them inaccessible without a decryption key. Another common approach is to steal sensitive data and threaten to expose it if the victim does not pay a ransom. But traditional backups have become an outdated paradigm.
To make the most of chatbots and AI innovation, organizations should develop comprehensive data classification strategies and adopt technology that seamlessly moves data where it can provide the most value.” are regulated differently based on their industry and location and require unique data storage solutions.
This is likely to impact industries where transparency matters, such as healthcare, financial services, and insurance. Also, AI-consumption reporting is likely to evolve, where companies might use consumers’ data for their LLMs, creating demand for newer data privacy technologies.”
This is likely to impact industries where transparency matters, such as healthcare, financial services, and insurance. Also, AI-consumption reporting is likely to evolve, where companies might use consumers’ data for their LLMs, creating demand for newer data privacy technologies.”
This is likely to impact industries where transparency matters, such as healthcare, financial services, and insurance. Also, AI-consumption reporting is likely to evolve, where companies might use consumers’ data for their LLMs, creating demand for newer data privacy technologies.”
Greg Ives, Nutrient “Document data privacy is becoming an increasingly critical issue, particularly in highly regulated industries such as finance, healthcare, legal and government, where the proper handling of sensitive information is paramount. With these threats likely to persist, healthcare organizations must prepare.
Greg Ives, Nutrient “Document data privacy is becoming an increasingly critical issue, particularly in highly regulated industries such as finance, healthcare, legal and government, where the proper handling of sensitive information is paramount. With these threats likely to persist, healthcare organizations must prepare.
We organize all of the trending information in your field so you don't have to. Join 25,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content