Automated tools using machine learning and behavioral analysis can make this possible without increasing the workload of security personnel. A unified identity and access management platform is a useful tool for orchestrating network-wide defenses and automating identity management and incident response. It can consolidate protection for all applications servers and users into a holistic source of visibility to enable both risk management and proactive threat hunting.
The bottom line Identity-based attacks are the number one concern for network security defenders. Impersonating a user is an effective tactic for cybercriminals and selling stolen identities is big Whatsapp Mobile Number List business on the dark web. But a set of best practices to prevent credential abuse can make these cybercriminal activities more difficult or less profitable. Learn more about identity-based attacks and the importance of protecting credentials by watching the Mimecast SecOps 2023 session Knock Knock Should Identity Be At The Heart Of Your Digital Puzzle How artificial intelligence and machine learning are affecting cybersecurity.
Hardly any other area is already as well suited for the use of artificial intelligence AI and machine learning ML as cyber security. Why On the one hand because IT systems and threat situations are now so complex that no one is able to keep an eye on everything important at all times. On the other hand intelligent algorithms are particularly good at recognizing and analyzing conspicuous patterns in a huge amount of data at an early stage.