Biometric technology is advancing rapidly and regulations need to keep up. What are some of the challenges and how they should be addressed to secure digital data?
We should strive for a human-centric, value-driven, yet flexible and business friendly standards backed by laws and regulatory enforcement. Yet abandoning the old ways of relying on privacy notices and consent forms will remain contentious, controversial and, if it happens, still take a lot of time.
The most coveted of privacy job positions are those in-house with many professionals set on becoming corporate privacy officer. Hear what made Dan Pepper take the uncommon route to become a big law privacy partner instead.
Recently, China’s new Personal Information Protection Law (PIPL) went into effect. The question now is what does this mean for the future of data protection policy, and perhaps more importantly, the lack of a comprehensive U.S. policy?
There is a tremendous amount of potential for machine learning and cyber security within the enterprise. In order for machine learning to live up to the hype, it will need to offer a fully robust security solution and plenty of organizations are now betting that machines will be up to the task.
With COVID-19 bringing new risks to cloud computing, businesses should understand the responsibility of their cloud providers when it comes to privacy and security protections.
With autonomous vehicles gaining mainstream attention, the challenges that come with the tech are being scrutinized. The biggest of these is the threat of hacking.
With risks being discovered by a wide range of security tools, how can vulnerability management teams ensure their vulnerability risk management programs are actually targeting the highest-priority risks and therefore supporting ongoing cybersecurity goals? When these tools and their findings are siloed, the answer is, unfortunately, simple: they can’t.
In a recent analysis of the companies that make up the Global 2000, nearly three quarters implemented less than half of all domain security measures. As attacks targeting domains continue to rise, it is critical to determine who is responsible for overseeing their security and the processes they implement.
Technologies like AI and Machine Learning can give companies a competitive lead in terms of information security and data safety. How can these technologies support cybersecurity?
