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The Need for Context - Machine Learning and How to Apply It to Incident Res...
Thu 19 November 2015, 18:00 – 20:00 GMT
The security industry always has new buzzwords that’s quickly adopted by vendors hoping to capitalize on the hype; “big data”, “machine learning”, “anomaly detection”, etc. As security professionals, how do you distinguish between what is hype and what is something that can provide real-world benefits? It’s not enough for security solutions to have the best mathematical models or algorithms, you also need important context such as the actions of real users. When applied in the right way, analytics can help you improve your security program by increasing the accuracy of alerts and reduce the number of incidents you need to respond to. This will cover:
• The latest security buzzwords and what they REALLY mean
• Why domain expertise is critical
• How to incorporate context to minimise alert fatigue and false positives
Matt Hathaway is the Senior Manager of Platform Development at Rapid7, continuously speaking with security teams and leading the direction for the Company's Data Analytics Platform. He recently moved to Northern Ireland to assist with the company’s international expansion and drive the development of the Rapid7 Belfast office. Prior to joining Rapid7, Matt was a member of the Office of the CTO (OCTO) and product management teams for RSA. He has been working in fraud prevention, security and IT for 15 years. He has a BSc in Computer Engineering and an MBA from Northeastern University.