DNA testing companies are collecting millions of DNA samples that include personal health information (PHI) and turning around to sell it to research and pharmaceutical companies. Consumers need to weigh the privacy risks and decide if these DNA testing companies have a heart of gold or are just looking for one.
The UK Data Protection and Digital Information (No. 2) Bill if passed would govern the processing of personal data in the UK and in doing so replace the current data protection regime in the UK. It would also introduce other concepts and frameworks which are based on the processing of personal data.
With data privacy laws becoming a focus for many global and U.S. state governments in 2019, this year will prove to be challenging for companies as they attempt to comply with the many regulations pertaining to the personal data of customers.
The key to creating a mutually trusting relationship between a business and its customers may lie in consumers becoming more empowered and knowledgeable about their personal data.
Financial institutions are 300 times as likely as other companies to be targeted by a cyberattack. Unfortunately, the systems designed to help (such as alerting or security monitoring tools) can overwhelm a bank’s IT department.
Instead of only focusing solely on how to protect the existing environments, CISOs must also aim to provide the right environment for secure business innovation.
Cyber insurers have struggled to assess and quantify the risk they are underwriting. The only way the cyber insurance industry will be able to support the market's growing demand is through trust and transparency built upon quantifying digital risk through sound data science principles.
Organizations can implement an insider threat solution with good intentions and all in the interest of heightening security posture. But improper implementation can cause the loss of an employee’s drive just as quickly as a potential nefarious opportunity that outweighs the cost.
Insurers have a vital role to play in inoculating organizations against potentially crippling attacks. With cyber insurance premiums forecast to reach $7.5 billion by 2020, how can insurers do their part to leverage this opportunity for the benefit of customers in today’s digital world?
Companies are looking for new solutions to prevent, detect, and eliminate fraud. And machine learning seems to be the best answer to financial fraud. How does it work, what are the benefits, and who uses it?










