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
The increase in the prevalence and complexity of data breaches points to one conclusion – traditional cybersecurity measures are no longer enough to keep our valuable data safe. According to a recent report, data breaches exposed a staggering 35 billion records in the first four months of 2024.
As shared in part one of this installment, the global marketplace faces an increasingly destructive cyber risk landscape each year, and 2024 is set to confirm this trend. The cost of data breaches alone is expected to reach $5 trillion, a growth of 11% from 2023.
Generative AI in 2024: FAQs Addressed in This Article: What is the economic impact of generative AI in enterprises? What skills are crucial for the successful integration of generative AI in 2024? What are the common challenges in adopting generative AI in 2024?
In 2024, McKinsey conducted a global survey that found the adoption of AI is accelerating rapidly. With data moving across multiple systems, you’ll need to ensure that your tools and processes prioritize data privacy and meet compliance requirements. Artificial intelligence is reshaping the way businesses function.
What is the significance of AI in healthcare datasecurity? – AI is crucial in identifying and inventorying electronic PHI (ePHI), using deep learning to mimic trained humans’ abilities without cumbersome programming, and is necessary as traditional defenses are no longer sufficient against evolving cybersecurity threats.
2024 is set to be a fascinating year in the finance space with advancements that help organizations continue to do more with stretched resources and continued staffing shortages. Migration to Cloud: Consolidating Different Data Sets Download Now 4. Securities and Exchange Commission’s new rules for cybersecurity incident disclosure.
We organize all of the trending information in your field so you don't have to. Join 57,000+ 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