As processing power becomes cheaper, smaller, and more accessible, the issues of Identity in this automated space become increasingly relevant. We will discuss how machine learning (ML) can perform many traditional governance tasks previously the responsibility of managers – from ensuring appropriate access controls to automating the processing of access requests. We will also examine how intelligent devices are acting as agents for other identities and the challenges this brings to traditional identity management. Real-world examples will be presented of ML identifying security concerns and other vulnerabilities.
Artificial Intelligence (AI) has been boosting innovation and creating a whole new wave of business models. With its rapid expansion into most use cases in many industries, a new threat landscape is evolving and as such presenting tough challenges to cybersecurity teams. With its huge impact on the way we interact with technology, the need for good practices and high standards in securing AI infrastructures is becoming a priority. In this panel session, we will
