Nopsec
Machine Learning in cybersecurity webinar presented by Sanja Nedic. THIS WEBINAR COVERED. Core concepts behind machine learning and main types of problems it can solve. Examples of real-world uses of machine learning in security to augment or replace rule-based or heuristic solutions to problems such as spam detection, intrusion detection, malware analysis, vulnerability prioritization, etc. Challenges of building reliable machine learning systems in security space.
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Modern zero trust requires the right architecture, analytics, dynamic policy, and risk visibility in order to reduce the attack surface, prevent lateral movement, and make real-time threat determinations with each transaction. Zscaler and Splunk tightly integrate best-of-breed cloud security and security analytics platforms to
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While the GDPR and Schrems II mandates accelerated the need for external key management solutions in Europe, it is clear that these needs are expanding to become global requirements. Other countries and even states are jumping into the fray with clear specifications for safeguarding Personally Identifiable Information (PII). For example, Schrems-II doesn’t allow keys that provide access to the encrypted data, to be hosted outside of the European Economic Area (EEA). Privacy and compliance are calling the shots on the data protection lifecycle.
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Knowing about cybersecurity risks is half the battle - get the hard facts from these executives who successfully met the challenge of the US Cyber Command. Hear from these cyber security former military leaders and see how they achieved answers to the hardest questions by the world’s most relied-upon forces.
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