provides software platform that enables organizations to gain real-time operational intelligence by harnessing the value of their machine data. I just really missed being on the field and being part of a team sport.Splunk, Inc. What kind of team you are going to join becomes really important. “One of my criteria it would be nice to start private and see if we can take the company public. “I didn’t have any idea how exhausted I was after the eight-year run at Splunk,” Merritt said. The opportunity to build a new venture at Aviatrix motivated him to get back into the game. Merritt ended his tenure at Splunk in November 2021 with no announced plans to join another company. And then I pray that it becomes more powerful to defenders over time, but we’re in another crazy arms race.” “I think it will propel defenders to really, really up their game more quickly. “If we follow human behavior, I think attackers are going to arm themselves more aggressively first,” Merritt said. found that AI has already begun to change the ways that people hack. Generative AI could amplify the value of ethical hacking, yet there are also signs that threat actors are just as interested in leveraging new, more powerful tools. While the rise of generative AI is poised to make a significant impact on network observability and controls around data, there is also growing concern that its use in the hands of malicious actors could make the security landscape even more perilous. We’ve got a data plane to transmit networking data across the network.” It’s hard for the networking vendors to jump up to be data plane providers. “When I look at tech, it’s all about layers. “Trying to provide that intelligence, that resiliency, that adaptability, the high security across these clouds is a difficult challenge,” Merritt said. Merritt’s company is in the business of providing as much information as possible about network functionality, and this process becomes more complicated as enterprises increasingly adopt multicloud models. To make AI tools work effectively takes data. Again, LLMs I think could do a really effective job given a constrained dataset and the right training and the right guardrails around it.” Facing the multicloud challenge “We all have the opportunity to do a better job of parsing through mountains of data to try and find the patterns that are existing with the way that our systems are behaving. “Every layer of the tech stack has got observability, there’s a whole observability framework within Aviatrix,” Merritt said. The focus on generative AI could help organizations strengthen observability capabilities by sourcing the right data and metrics together. This element of network observability will likely emerge as an important factor as the supercloud matures. You need an effective data plane and control plane and a way to observe what’s happening and invoke policy anywhere that that traffic flows across different clouds, across different edge providers.” “How do you optimize policies across these very complex networks and be more proactive and resilient? Just getting secure and resilient transport between clouds on a seamless basis is that most companies really, really wrestle with. “LLMs will have a play in networking when you’re trying to think about understanding attack surfaces,” Merritt said. The influence of supercloud as an abstraction layer that resides above and across hyperscale infrastructure can provide the control dynamic that organizations will need to take full advantage of emerging AI tools. Understanding attack surfacesĭuring his appearance on theCUBE, Merritt indicated that LLMs will play an important role in the development of technologies for enterprise security. They discussed the growing influence of LLMs and how AI can transform the data networking industry. Merritt spoke with theCUBE industry analysts Dave Vellante and John Furrier at the Supercloud 3: Security, AI and the Supercloud event, during a conversation on theCUBE, SiliconANGLE Media’s livestreaming studio. They do have a specific purpose, and we’re still wrestling through what that purpose is as a world.” “If you are a company today and you’re not claiming to do something with LLMs, you’re just in trouble because obviously everybody is. “It’s the large language model lemming march,” Merritt said. Today, as the newly appointed CEO of the cloud-native networking company Aviatrix Inc., Merritt (pictured) is once again facing significant changes in the enterprise world brought on by the dramatic growth in interest around generative artificial intelligence and large language models. During Doug Merritt’s six-year tenure as the chief executive officer and president of Splunk Inc., he led significant shifts in the company’s journey to build a major platform for enterprise resilience.
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