Digital Technologies in Banking

According to CNN, ransomware incidents are expected to cost enterprises $1 billion in 2016 and no organization is immune. Healthcare, law enforcement and others have been attacked, restricting access to systems and data until a ransom is paid. With these attacks on the rise, organizations have found themselves vulnerable and struggling to reduce risk and proactively prepare to respond.Join our panel of experts, John Shier, Senior Security Advisor, Sophos, and Seyi Verma, Druva, as they provide insights into how to confidently prepare your organization to combat ransomware threat including:Proactive strategies to protect data before a malicious attack occurs.

While the concept of incorporating security into the software development lifecycle (SDLC) is not new, a staggering number of enterprises still only run automated scanning on deployed applications, not realizing the whole potential of modern scanning solutions. In this webinar, we will focus on moving security testing into the earlier stages of the software development lifecycle in order to eliminate web security issues as soon as possible.

What started to evolve as the most agile and real-time enterprise data fabric, data virtualization is proving to go beyond its initial promise and is becoming one of the most important enterprise big data fabrics.Attend this session to learn:What data virtualization really is,How it differs from other enterprise data integration technologies,Real-world examples of data virtualization in action from companies such as Logitech, Autodesk and Festo.

Responsible AI makes artificial intelligence a positive force, rather than a threat to society and to itself. Responsible AI is an umbrella term for many aspects of making the right business and ethical choices when adopting AI that organizations often address independently. These include business and societal value, risk, trust, transparency, and accountability. This complimentary webinar looks at the most critical aspects of responsible AI — accountability, explainability and fairness. You will get best practices on how to drive AI responsibly to increase trust, maintain compliance, protect your reputation and, most of all, do wonderful things safely.