The EU GDPR signals a move towards a technology-based approach that can enforce data protection policies for personal data. What’s the solution?
Open source software components are useful for software development yet vulnerable to attacks due to its openness. What are some of the best security practices in managing them?
How can an organization prevent unauthorized people from looking over their remote employee's shoulders? By utilizing an identity confirmation solution that combines biometrics, object recognition, and AI, businesses will ensure only approved employees view sensitive data.
There's a need to go beyond simply enhancing cookie consent. Businesses must be able to observe, monitor, and control the browser-related aspects of website engagement that they do not control now. The new endpoint is that.
Citing the dangers of “sideloading”, Apple and Google defend themselves by saying their app store policies are necessary to protect their users. But while sideloading can be very risky, it can be done securely through the use of time-tested and effective cybersecurity technologies.
88% of data breaches are caused by human error. Employees need the opportunity for mistakes to be flagged prior to pressing send, providing them with an improved way to manage their email functions.
Many companies were blindsided by the time and cost to sustain GDPR compliance. With CCPA coming into effect, what should companies do to develop a sustainable compliance program?
For fraud and AML leaders, the solution isn’t choosing between technology and people, but rather empowering teams with the right technology. AI agents are the key to this transformation with the ability to supercharge fraud and AML teams across end-to-end workflows with human-in-the-loop control.
While the threat of ransomware is real, with the right preparation organizations can increase resiliency against an incident. A multi-layered approach is key.
Most people would be rightly excited by the prospect of artificial intelligence automating all facets of our lives. But with machines' increasing ability to mine personal data, collate that data and draw conclusions about behavior, is the sacrifice of privacy and control something people would be willing to give up?
