AI is the future — and holds both peril and potential
It’s impossible to talk about innovation without talking about AI. And we talked about it. A lot. It permeated every aspect of our programming, from keynotes and panels to executive roundtable discussions — largely because AI touches on all aspects of innovation.
In her .conf+ keynote, “The Future of AI,” Founder and Chief AI Officer of the AI Leadership Institute Noelle Russell discussed how AI models can optimize business processes, create game-changing solutions, and power growth that augments — rather than replaces — security, engineering and ITOps teams. Organizations that invest in AI the right way (i.e., with appropriate policies and strategies in place) will scale the business and likely realize significant returns on productivity and profitability. However, at the end of the day, AI is just a tool. organizations that create a responsible playground for generative AI will not only speed innovation but also close ethics gaps and ensure information transparency and integrity.
While there was a ton of optimism in the room, executives are also realists, so we spent significant time talking about AI’s potential downside — stealthier and distributed attacks, data privacy mishaps and other business risks. Splunk Senior Vice President of Products and Technology, Tom Casey, Chief AI Officer Hao Yang, and customer panelists dug into this topic, debating whether AI gives cyber adversaries — or defenders — the upper hand. While more nimble cyber adversaries without policy constraints may leverage AI to create waves of authentic-looking deepfakes and bots, cyber defenders ultimately have access to more data, more resources and support. Both sides can benefit and be at a disadvantage.
I also had the privilege of further exploring this topic with my good friend and longtime colleague Richard A. (Dick) Clarke, chairman and CEO of Good Harbor Security Risk Management. Among his many insights, he highlighted the importance of establishing a single set of rationalized and simplified cyber regulations. One option we posited was a governance system to manage AI risk in enterprises, as well as the importance of workforce education and monitoring AI activities — all of which put necessary guardrails around this technology so we can safely realize its enormous benefits.