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?
Generally speaking, the more SaaS applications an organization has in its tech stack, the greater the risk of suffering a cyberattack. Many organizations take a hands-off approach to SaaS security, making these applications a prime target for hackers.
The goal for stepping up WFH data governance isn’t simply compliance but to go forward with policies and procedures that enable better results and build brand trust with consumers, business partners and others.
Scammers have taken to social media networks as their favorite spot for phishing attacks as there are billions of registered users with a vast majority of them practicing little to no account security.
Browser extensions are creeping their way into being a favorite of malicious actors. Why are dangerous extensions still a challenge, even though Google is actively combating the problem?
We live in an age that values authenticity: being true to who you are and what you value. It is ironic, then, that one of the more recent innovations of the past few years—Large Language Models, or Generative AI—is in the process of undermining authenticity itself.
File-based malware has long been among the most effective attack vectors employed by threat actors worldwide. While AI-powered detection technologies are coming to market to help address these growing risks, their outputs should be complemented by deterministic controls and human oversight, particularly in high-consequence environments.
There is the need for additional cyber defenses of growing 5G networks – and we should expect to see increasing policy pressure around the vetting process for hardware and software that are crucial to these upgraded networks. This is raising the importance of supply chain risk management for the telecommunications industry.
Data recovery and protection planning is a crucial task and responsibility for any data center manager, and it is important in creating buoyant infrastructures. What are the crucial steps to formulate an effective plan?
Increased credit card usage has resulted in higher rates of credit card fraud, and financial institutions are bearing the brunt of the financial losses. Recently, fraudsters are committing synthetic identity fraud by cultivating identities and developing credit histories over time leading to the call for new solutions.










