Focusing on PCI compliance is a good way to improve risk management, find out what your company can do to reduce incidents, stop cyber threats and prevent regulatory fines.
Better methods of managing data using innovative technology avoids a reactive posture to data, and instead turns to a proactive one. But how can leaders become more proactive in their approach? And how can they make the data more proactive to meet the growing challenge of comprehensive data risk management?
Companies need to be more careful than ever when handling sensitive data. U.S. state privacy laws are multiplying, and both regulatory action and class action lawsuits have put companies collecting or sharing sensitive data without consent in the spotlight.
Easy targets. That’s the best way to describe universities and colleges as targets of cyberattacks. Most still operate using legacy systems and infrastructure, and many users, devices, and inadequate cybersecurity policies make them easy prey for bad actors.
Cutting down hacker dwell time will help companies minimize financial and reputational impact to their business, especially if they are subjected to compliance laws like GDPR.
Technologies have helped creating a comprehensive modern data ecosystem deliver data value easier and faster may have made data governance and protection appear more difficult.
Implementing a solution to identify and manage automated traffic can help organizations more effectively address the problem of web scraping and the countless other challenges associated with bad bots.
The reduction in CISA’s budget and workforce comes at a time when cyber threats are increasing in volume and sophistication. Private sector teams and state and local agencies must now take the lead in defending their assets.
As more recipients get wise to the usual phishing tactics, attackers are adopting another strategy: pretexting. Protecting an organization against pretexting attacks requires a layered approach that includes preventing attack messages from reaching employees, and making employees aware of how pretexting works.
As artificial intelligence (AI) and low code continue to have a profound impact on modern-day software development, there are some under-acknowledged consequences organizations should be aware of, including an invisible shift in risk management and regulatory compliance.
