Nagomi

AI is changing the speed and economics of exploitation.

The conversation focuses on what that shift means for defenders. With models making it possible to discover vulnerabilities and build exploits in minutes at almost no cost, traditional assumptions around exploitability and patch prioritization no longer hold in the same way.

That is where Nagomi’s view of exposure management comes in. The discussion expands the category beyond vulnerability discovery alone to include asset configuration, security control coverage, and overall program effectiveness. It also argues that major breaches are more often caused by control failures, unmanaged devices, or misconfigurations than by zero-days.

From there, the episode explores why proactive security will need to become far more automated. Rather than expecting teams to patch dramatically faster, the thesis is that organizations will need AI-driven exposure operations that can identify true exposures, trigger investigations, and verify that risks have actually been neutralized.

Listen to the full episode on Spotify