How to Implement AI Cybersecurity
As more corporations and remote workers shift their operations online, cybersecurity is becoming a major concern. With so much at stake, implementing AI cybersecurity can be a great way to improve incident response and detection, regulatory compliance, automated identity and access management, enhanced cloud network security, and more.
The best cybersecurity AI solutions take the human factor out of detecting threats by learning your organization’s security patterns over time and automatically adapting to evolving threats. They also provide improved context for prioritization of security alerts and surface root causes to inform your infosec team.
Cybersecurity AI also detects malware by analyzing how it behaves compared to “normal” behavior, rather than needing a specific code signature like a virus or other malicious software. For example, Blue Hexagon’s AI system has been trained for years on billions of diverse threat data sets to quickly identify new malware in under a second. By contrast, a more recently introduced cybersecurity AI may not have the same level of training, which makes it less effective.
One of the most important considerations when choosing a cybersecurity AI solution is whether it’ll integrate seamlessly with your existing systems and policies. For instance, if you’re using Zero Trust Security, you want cybersecurity AI that can work with it to adjust access and permissions without interrupting employee productivity.
Lastly, you want your cybersecurity AI to be transparent so you can understand its findings and be confident it’s working as intended. This is particularly important for getting buy-in from end users, security operations, CISO, and other stakeholders.