Enhancing Cybersecurity Efficiency: The Role Of AI In Alleviating Burnout And Unlocking Innovation

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Geoff Haydon is the CEO of Ontinue. Read Geoff Haydon's full executive profile here.

In today's rapidly evolving digital landscape, organizations face numerous challenges to continually strengthen their security posture. The attack surface is expanding in every direction; the adoption of cloud-based applications has widened the virtual attack surface, and supporting remote workers has broadened the physical attack surface. In-house security teams are overwhelmed by a growing number of attacks, generating a continuous barrage of alerts 24/7.

These Are The Likely Democratic Presidential Candidates If Biden Drops Out—As Rough Debate Prompts Calls To Stand DownAt the 2024 RSA conference in San Francisco, I spoke with many cybersecurity leaders who cited the benefits of AI in general terms. But when I asked questions about their use case for AI, they only went one or two layers deeper, and the benefits were much harder to identify.

Much of the SecOps burdens goes back to the in-house cybersecurity professionals who struggle to keep pace with the dramatic rise in automated threat detection and false positive reporting.To truly alleviate the burden on IT and security teams, MSSPs need a deep understanding of the specific environments they protect. While generic automation helps, it can't handle the nuances of complex threats, such as distinguishing between benign and malicious activities, without constant fine-tuning.

Additionally, your managed security provider should have a deep understanding of your overall environment—not just your technology, but your people and your internal processes as well—so they can tailor their service to your needs. The good news is that AI is actually well-suited to increase transparency. For instance, AI can be used to quickly and comprehensively summarize incidents for customers. AI assistants and chatbots can also be used to provide real-time answers to questions that customers have, and can even be built to explain how they arrived at those answers for total transparency. Scrutinizing your MSSP’s use of AI ensures that you aren’t sold an automated solution which only adds to the problem.

7. How do you provide transparency into your service operations and the conclusions/insights you generate for us?

 

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