Critical Actions to Survive a Data Breach in 2019 & Beyond

Despite everything you've spent on data-centric security, there still is a security gap that is burgeoning at an alarming rate when it comes to protecting sensitive data. The growing complexity of users outside your organization, methods of sharing information, and the number of devices data reside on are continually changing and expanding. Rethink your data-centric security in 2019 with insights from IDC's Research Analyst, Rob Westervelt. This educational webcast will highlight how to: Leverage and extend the value of the Data-Centric Security solutions that you have in place. Identify and eliminate blind spots with current solutions such as DLP, Data Classification, and Rights Management to optimize your security.

KPMG reports 68% of CEOs believe a cyberattack is a matter of when — not if. How is your organization preparing to mitigate cyber risk in the new year? Join David Kruse, technology risk consultant, Justin Webb, CIPP-certified attorney and Jeff McCollum, crisis response and public relations professional for strategies to help you: Discuss cybersecurity at the board level.

In this webcast we walk through the step-by-step defenses to stop the attackers in every step of the way we showed in Attack Tactics Part 5. Introduction, password spray toolkit, account lockout, honey accounts, canary tokens, and two factor authorization. fixthefuture , two factor authorization, dumping global address lists, mailsniper 20:30 Lateral movement, OWA, VPN, SSH. Scanning and enumeration, Nmap, SSH Brute Force, “Find Open”, LLMNR, LLMNR Responder, and NrlmRelayX.

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.