Artificial intelligence is no longer just another tool in the cybersecurity stack—it’s becoming a requirement to keep pace with modern threats. Deep Instinct CIO Carl Froggett discusses how attackers are leveraging AI to move faster and why defenders need to rethink their own strategies.

One of the most pressing issues security teams face today is alert fatigue. With detection tools generating endless streams of warnings, analysts are stretched thin, often forced to choose between triage and burnout. The conversation makes clear that this reactive model is unsustainable. As attacks grow more automated, defenders must shift from chasing alerts to stopping malicious activity before it starts.

That’s where AI-driven prevention enters the picture. Rather than waiting for signatures or indicators of compromise, advanced models can block malware at the moment of execution. It’s not a silver bullet, but it dramatically reduces the noise—allowing security teams to focus on high-priority investigations and response.

The discussion also underscores a broader cultural shift: moving from a detection-first mindset to a prevention-first strategy. For many organizations, that requires not just new tools but also new processes and risk models. Security leaders need to weigh prevention against business continuity, and they must trust AI to make calls at machine speed.

The takeaway: adversaries are already using AI to probe, evade, and exploit faster than humans can react. If defenders remain locked in a detection-only cycle, they’ll always be a step behind. Prevention-first approaches, powered by AI, may not eliminate every risk—but they can tilt the balance back toward defenders by reducing attack volume and restoring focus.