Solving the Cybersecurity Data Problem – Padraic O’Reilly – BSW #364
Cybersecurity is complex. We have threats, vulnerabilities, incidents, controls, risks, etc. But how do they all connect together to drive a cyber risk program? As an industry, we've struggled for 20+ years trying to boil this ocean. Maybe we've been going about it the wrong way.
Padraic O'Reilly, Founder and Chief Innovation Officer at CyberSaint, joins Business Security Weekly to discuss how AI can help us solve the cybersecurity data problem. Starting with simple mappings from risks to controls, CyberSaint is flipping the cyber risk management problem on it's head. Instead of working from the bottom up, CyberSaint is tackling the problem from the top down. Padraic will discuss how CyberSaint is using AI, practical AI, to address the complexities of cybersecurity data, including:
- the use of Watsonx to generate their new KnightVision report
- how to use graphical node networks to model cybersecurity data
- the future of AI models to prioritize recommendations from all the data
This segment is sponsored by CyberSaint . Visit https://securityweekly.com/cybersaint to learn more about them!
Guest
Padraic O’Reilly is Chief Product Officer and Co-Founder at CyberSaint, where he leads product innovation and development. His experience as a Harvard-trained economist, IT risk and compliance consultant, and his rapid exposure to Cybersecurity led him to seek out CISOs, CIOs, and Boards of Directors at global organizations to pursue the answer to the question – how can cyber be managed, measured, and understood like any other business function? Padraic’s current activity spans working directly with organizations from public agencies to private companies across the globe to understand how to measure cyber risk, especially amidst the global pandemic which is fueling massive digital transformation projects around the world. Padraic was a key member of the group providing feedback on the NIST Cybersecurity Framework during its development, and is an expert in regulatory standards both in security and privacy, including the NIST Risk Management and NIST Privacy Frameworks. An expert in Artificial Intelligence (AI) and economic modeling, Padraic works with members of the Global 500 to research and deploy risk quantification, risk intelligence gathering, and risk reporting and communication strategies. Padraic also holds a patent entitled, “System And Method for Monitoring And Grading A Cybersecurity Framework” which has inspired much of his work on cohesive IT and cyber risk management approaches.