According to Gartner research, over 75% of security leaders are now using or planning to use AI as part of their cybersecurity strategies. And it’s clear to see why, as AI can effectively identify and thwart threats in real-time, while improving overall security posture.
Among the key areas where AI is making an impact are endpoint security, network security, identity and access management, data security, and threat detection and response. For instance, CISOs are utilizing AI-enabled user and entity behavior analytics to better detect and mitigate insider threats, while also improving user awareness training.
Another way AI is being used for improved security is through anomaly detection in network traffic, which can identify suspicious activity and stop cyberattacks in their tracks. This technology can also be used for more effective vulnerability management and patching, which helps prevent exploits from being detected and leveraged by cybercriminals.
Similarly, with identity and access management, AI-enabled solutions are being used to more accurately authenticate users and prevent unauthorized access to sensitive systems or data. This is important given that identity theft and access-based attacks remain a top concern among CISOs for enterprise security.
Overall, the use of AI in cybersecurity is a growing trend that’s worth watching, as it has the potential to transform the way organizations approach digital security. By leveraging the power of smart machines, businesses can improve their ability to detect and respond to threats, while also reducing the impact of security incidents on their employees, customers, and operations.