Ahead of the upcoming AI Safety Summit to be held at the UK’s famous Bletchley Park in November, I wanted to outline three areas that I would like to see the summit address, to help simplify the complex AI regulatory landscape. When we start any conversation about the risks and potential use cases for an artificial intelligence (AI) or machine learning (ML) technology, we must be able to answer three key questions.
Last week in New York, I had the opportunity to attend a panel discussion hosted by SINET and moderated by Upendra Mardikar, the Chief Information Security Officer of TIAA. We discussed everything from security in DevOps, to AI’s pros and cons, and cybersecurity’s future. As long as the attack surface, API usage, and digital footprints increase, so will cyber risk.
General Data Protection Regulation (GDPR) is a framework for data protection that gives strict obligations for organizations within the European Union. For many businesses, understanding and implementing GDPR vendor management is a daunting task. That’s why we are going to break down what GDPR vendor management is, who is involved in it, and what the requirements are.