I recently had the good fortune to attend the Ai4 Cybersecurity conference in New York City. This event brought together thought leaders, influencers and practitioners over two days to discuss the role of artificial intelligence (AI) and augmented intelligence in the cybersecurity industry. Here are some of the key highlights and takeaways from the event that pertain to application security.
Most People Are Struggling With Data
Whether it was the Federal Bureau of Investigation (FBI), the U.S. Department of Homeland Security (DHS), the NYC Cyber Hub, or any other organization or vendor, one thing was crystal clear: The amount of data we are all dealing with is enormous, and it is becoming more and more difficult to work with — let alone use to make sensible decisions efficiently. When you add in the fact that, for most organizations, the number of people dealing with this data tends to be fairly constant, the problem just seems that much greater. There is a definite shortage of skill in this space today. However, not all looks dark.
Nicole Eagan, CEO of Darktrace, shared the insight that in very specific usage models where people are searching for something that is exact, AI is winning over human analysts in 46 percent of cases and tying in another 40 percent. A good example of such a use case is Domain Name System (DNS) tunneling. In these cases, security teams are monitoring the size of DNS request and reply queries and using rules to block high volumes of traffic from particular sources. The point is that when there is a well-defined use case, a measurable outcome, and the necessary supporting data, AI can substantially bolster cybersecurity ef ..
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