Many organizations have adopted machine learning and data analytics to help them identify security anomalies. However, mere identification isn’t good enough in a world where Petya and other modern attacks can take down 15,000 servers in a single organization in under two minutes. To combat these new types of malware, organizations need to be looking at Model-Driven Security Orchestration, where the security responses to emerging threats and attacks are automated and driven at machine speed. In this presentation, Kurt Lieber provides an overview of Aetna's security orchestration program.
Watch this webinar to learn:
- How Gurucul machine learning models automate front line security controls
- Why behavior analytics provides the necessary context to predict risk
- Lessons learned from real-world deployments
Speaker: Kurt Lieber, CISO, Aetna
Kurt Lieber is the Vice President, CISO responsible for Risk Management, Identity & Access Management and Program Management Office within Aetna’s Global Security team. Kurt has over 20 years of experience in Information Technology and Information Security across multiple industries including health care, retail and financial services.
Kurt was formerly with Kaiser Permanente where he had responsibility for IAM as well as HIPAA remediation. Prior to Kaiser Permanente, Kurt worked for Target Corporation, where he was accountable for the company’s IT Security program and led the technology team responsible for their Payment Card Industry (PCI) program. Prior to Target, had roles with Goldman Sachs and Accenture.