1. Enhancing network and user monitoring
AI can continuously monitor network and user activity while automating routine security tasks, says Leslie Daigle, CTO at the Global Cyber Alliance, a nonprofit organization of cybersecurity professionals. “Whether through behavioral analytics, machine learning models, or newer generative AI capabilities, AI can identify suspicious patterns and flag the most critical threats, so security teams can focus on the incidents that matter most,” she explains.
AI works best when it’s integrated into your existing security program, not treated as a standalone tool, Daigle says. “Success requires close collaboration between cybersecurity, IT, and AI teams to ensure models that are accurate, reliable, and aligned with your organization’s specific threat model and risk tolerance,” she notes.
That alignment isn’t a one-time setup, however. “Models need ongoing validation, since they can drift, miss novel attack patterns outside their training data, or be manipulated through adversarial inputs,” Daigle says.
