Machine learning and AI can be used to improve security by automating threat detection, implementing tools like honey pots and security cameras to segregate networks, and using multifactor authentication and physical login tokens to supplement account security beyond passwords alone. ML and AI allow companies to more automatically detect threats across cloud and on-premise systems when backed by regular backups and baseline security procedures.

1. How can you integrate Machine learning and AI to improve security?
What are examples of how you can implement ML and AI when securing your company?
How does segregating your network prevent employees and outsiders from exploiting the
network structure by using; Honey pots, security cameras, Laptops, Servers, network devices?
How does a company's backups and Security baseline and procedures help secure the cloud and
on-premise resources?
What are ways you make detecting threats more Automated?
How can MFA and physical login tokens improve a company's security besides preventing brute
force?