AI in cybersecurity needs to justify itself by lowering organizational risk, not just cutting costs. Early AI tools are cheap now but will get expensive as adoption rises, like Uber's price surge since 2015. Build your business case around measurable risk reduction for decision-makers and boards.
There are lots of really fun ways you could use AI in cybersecurity, but you've gotta go back to the foundation of how is this helping me reduce my organization's risk? Can I go back to my stakeholders, my leaders, my board of directors with a clear return on investment for, hey, this is why I'm using this AI tool in this way. One of the, one of the risks with that is it's really easy to go back to cost. I'm saving, you know, 2 FTE of security analyst time by using AI here. Well, that might be true this year because AI is very early. We're still seeing the early pricing. If you remember Uber in 2015, your ride across town was like $10. That same ride is probably $70 or $80 now because we're used to the convenience. I think we've got to anticipate a similar shift in AI pricing.
