Prezentacja 1: SecBi: Machine Learning: Does it help or hurt cybersecurity?
* Machine learning anomaly detection has been hyped as the answer to increasingly ineffective signature AV solutions. We would argue that machine learning could make a security analyst’s job more difficult, and at times, impair the level of cybersecurity.
* Supervised machine learning is often used in file analysis such as endpoint and anti-virus solutions – where it can be of an advantage.
* What happens when supervised machine learning is used in highly dynamic use cases like network traffic analysis
* What is Unsupervised machine learning and how it’s differentiated from supervised machine learning
* What unsupervised machine learning can offer in network traffic analysis
Prezentacja 2: Dcoya: Building an Effective Awareness Program
* Phishing state & statistics
* Numbers & Trends
* Ransomware
* Future predictions
* Awareness program – The challenges
* Existing approach review
* Measuring effectiveness
* Delivering educational material
* Building a program
* Lessons learned
* Guidelines and Methodology
* Empowering employees
Obie prezentacje będą przedstawiane w języku angielskim.
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Miejsce: Ernst and Young
Data: 25.10.2018
Godzina: 18:00
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Uczestnictwo w spotkaniu wymaga rejestracji (dla osób którzy nie są oficjalnymi członkami Stowarzyszenia) na portalu evenea: https://isc2polandchapter-machinelearning.evenea.pl/