Most security systems are built with data confidentiality in mind, but effective data privacy will also emphasize integrity and availability.
The enactment of recent privacy mandates is just the start. A comprehensive data risk management program established before more regulations go into effect is well worth its weight in gold.
If you're thinking about adopting artificial intelligence as an ally in your security operations center, the following questions and considerations can be helpful to guide your decision-making.
To establish a consolidated data risk management program, the chief information security officer (CISO), chief data officer (CDO) and chief risk officer (CRO) must be on the same page.
In today's rapidly evolving security environment, it's imperative for organizations to establish a formal data risk management program that does more than just check the boxes.
Recent research has shown that while consumers are demanding more transparency around information handling, few companies are doing enough to communicate with their customers about data privacy.
To protect their crown jewels from data thieves, organizations must determine the difference in risk levels between structured and unstructured data and prioritize accordingly.
By proactively determining who is responsible for data risk management before a data breach occurs, C-suite executives can help avoid such incidents in the first place.
Data scientist jobs have topped Glassdoor's list for the second year in a row. How do IT professionals get their foot in the door?
A risk-focused data management program can help companies identify and protect their prized assets from attackers aiming to steal, publish or destroy them.