Advancements in generative AI have created unprecedented challenges for CISOs, increasing the complexity of enterprise environments and helping malicious actors create more sophisticated attacks.Security leaders now face the unenticing task of mastering this evolving technology and adopting AI in their defense strategies, all while ensuring the security and privacy of AI tools.Data confirms that these challenges are top of mind for CISOs. In Tines’ survey on AI adoption, 94% reported feeling concerned that AI will increase pressure on their teams.But how are leading CISOs approaching AI today? And do they feel satisfied or underwhelmed by AI’s impact so far?I recently posed these questions to Mandy Andress, CISO of Elastic, and Matt Hillary, VP of Security and CISO of Drata, during a webinar titled, How to make AI an accelerator, not a blocker.I came away from that conversation with seven key takeaways, which provide great food for thought for forward-thinking security leaders.
Andress explains, “It's representation from technology, from security, from legal, compliance, business, and bringing all of those perspectives together. I think some companies will put accountability on a Chief AI Officer, but they'll still bring together these same groups to understand what we need to watch out for, and our ideas for utilizing AI in the business.”
1. Security teams are already feeling the benefits of Gen AI
Both Andress and Hillary told me that AI is helping their teams reduce repetitive and manual tasks, like responding to large volumes of security alerts.Elastic’s Mandy Andress said, “We could automate bringing in asset data, owner data, application criticality to the business, IoCs, etc. using today's tools. But what we couldn't always do was tie that into what's happening in the threat environment around us, because that's always changing. Having some of that accessible via an LLM allows you to apply better context in a world that's changing quickly.”2. Ensuring the security and privacy of AI tools is a top priority
During the webinar, we talked a lot about the risks of limited visibility into the “black box” of AI.But as CISO of the leading platform for search-powered solutions, Andress is encouraged to see teams prioritizing the security and privacy of AI tools. “I see a desire for more transparency in the AI space,” she says. “From a product perspective, it's about being explicit and letting customers use what works best and what's approved by them and helps their environment. It’s not us dictating what needs to be there.”3. A cross-functional AI committee can help organizations proactively address risk
To help govern AI usage, both Andress and Hillary suggest forming cross-functional AI committees.Andress explains, “It's representation from technology, from security, from legal, compliance, business, and bringing all of those perspectives together. I think some companies will put accountability on a Chief AI Officer, but they'll still bring together these same groups to understand what we need to watch out for, and our ideas for utilizing AI in the business.”




