by John Evans, for Information Week
Government cybersecurity teams face an overwhelming challenge of perpetually having too many priorities but too few resources to address them all. Instead of focusing on strategic threat mitigation, cybersecurity teams are spending their time deconflicting alerts, chasing false positives, and struggling with visibility gaps. This can lead to higher costs, inefficiencies, alert fatigue, and a dangerous lack of visibility into potential risks.
Artificial intelligence has the power to help government cybersecurity teams overcome these challenges. AI can make cybersecurity processes more efficient across the entire agency, from providing remediation recommendations to automating compliance.
A great example of the benefits of AI for cybersecurity operations is user behavioral analytics (UBA), where the technology can help evaluate user traffic patterns to create a baseline of known behaviors and flag unexpected or suspicious behavior that may indicate compromise for the security team to investigate. In the area of identity and access management, automated entitlement reviews ensure users have the appropriate level of access based on their role, while AI-driven role mining strengthens security principles such as least privilege and separation of duties.
Government cybersecurity teams must lean on AI to stay ahead of sophisticated adversaries and the ever-expanding attack surface. To successfully integrate AI into their workflow, these teams must understand how to best use the technology before, during and after an incident.
