How ML has changed in Security and what it is about to do

Summary

The conversation covers topics related to creating chapters, endpoint security, machine learning, XDR, EDR, kernel, supply chain security, and zero trust in Windows environment. The discussion also delves into the evolution of security culture in the US military and the challenges faced in implementing Zero Trust. The conversation provides insights into the depth of detail required to defend against advanced adversaries and the importance of training and experience in cybersecurity.Keywordschapters, endpoint security, machine learning, XDR, EDR, kernel, supply chain security, zero trust, US military, cybersecurity cultureTakeaways

• The evolution of endpoint security and the challenges posed by advanced attacks
• The role of machine learning in enhancing endpoint and extended detection and response (XDR) solutions

• The complexities and challenges of implementing Zero Trust in a Windows environment and the need to define a clear framework for protection
• The evolution of security culture in the US military and the emphasis on training and experience in cybersecurity
• The depth of detail required to defend against advanced adversaries and the importance of understanding supply chain vulnerabilities

• The Significance of the Kernel in Cybersecurity
• Impact of Supply Chain Security on Cybersecurity Posture

• "I always appreciate kind of the spy versus spy analogy because as soon as you come up with a good defense, attackers come up with another attack."
• "I feel like there's a change happening in the security world from audit D type logging type security to XDR."
• "The kernel is a key component for cybersecurity."