Splunk Conf 26: Splunk hopes to construct confidence in agentic AI
Mere days after a number of the most distinguished ‘massive AI’ advocates went on report to warn of an existential risk to humanity arising from unchecked AI improvement, Splunk management made bettering belief in agentic AI the headline matter at its annual .Conf buyer occasion in Denver, Colorado.
Taking to the keynote stage, Jeetu Patel, chief product officer and president at Cisco, set the ball rolling by reflecting on the momentous change that has dominated the expertise business for the reason that daybreak of the agentic period within the autumn of 2024.
“We’ve got squarely moved now from the period of chatbots to the world of brokers, conducting duties for us nearly totally autonomously,” mentioned Patel, who urged the viewers to consider brokers not as instruments however as teammates.
Patel described 4 key adjustments underpinning the fast progress of agentic AI. Firstly, he mentioned, “inference is the brand new workload”. Chatbot infrastructure consumption was spiky and in the end, gated by a human’s capability to interact – even energy customers weren’t placing an excessive amount of pressure on the underlying infrastructure, however now, brokers are working 24-7, spawning extra workloads for different brokers nearly repeatedly, so demand patterns at the moment are larger, and extra constant.
“In February this yr the tokens consumed by brokers for the primary time exceeded the full consumed by people, which is wild,” mentioned Patel.
Seven quick months later brokers devour 5 instances as many tokens, and since only a few people might at present be described as energy customers, this can solely improve.
Secondly, he continued, “brokers are the brand new workforce”. This yr, claimed Patel, 60% of worldwide AI compute capability might be put in direction of compute, with billions – possibly trillions – of brokers utilizing over 5 instances extra community bandwidth than people, and sustaining visibility into the community to manage their behaviour is changing into essential.
“Brokers are like youngsters,” mentioned Patel – they’re clever, fearless, and have poor judgment. They should be monitored, and any drift in behaviour must be corrected in actual time. That requires a good quantity of emphasis on visibility, as Patel noticed, “you may’t repair what you may’t see”.
Thirdly, he mentioned, “tokens are the brand new forex”. The price of tokens within the agentic world is in peril of getting uncontrolled as fast-moving brokers get chatty with each other in a means that people speaking to chatbots might by no means mentally maintain.
Because of this, mentioned Patel, we should always anticipate extra emphasis on open supply and open weight AI fashions, and better reliance on inferencing on the community edge, not within the hyperscale datacentre. Actually, predicted Patel, these constructing out inferencing infrastructure will begin to embrace a hybrid mannequin, and whereas hyperscalers will stay a robust space of progress, organisations will construct capability in on-prem datacentres and even desktop computer systems.
Lastly, “management is the brand new moat,” mentioned Patel. We now reside in a “post-Mythos world” the place security and safety have turn out to be ironclad requirements, and all the assumptions folks had beforehand made about AI safety are altering.
The underside line, he mentioned, is that each agentic motion is concurrently a routing problem, a belief determination, and a telemetry occasion. That is particularly why, Patel claimed, Splunk and Cisco created a vertically built-in, full stack platform, from silicon and photonics, as much as community, compute, information, fashions, and AI apps and brokers, with observability and safety current at each degree in order that when the worst occurs – whether or not that’s a technical outage or a cyber breach – detection and investigation turns into baby’s play, and assets may be directed to remediation.
In the end, mentioned Patel, this implies organisations will be capable to run agentic AI in confidence. He described a “world class, better of breed” observability proposition giving visibility into agent exercise, utility runtime, mannequin efficiency and infrastructure utilisation; an agentic safety operations centre (SOC) with the power to course of and perceive each safety occasion; and telemetry correlated from a number of domains, federated and analysed at decrease value, and unlocked for mannequin coaching and agentic motion.
This comes collectively in Cisco Cloud Management, which was unveiled at Cisco Reside again in June and have become out there to US clients on the finish of August. Patel described it as centralised management airplane primarily based on an agent-first operational mannequin.
“Delivering digital resilience begins with Splunk. This is without doubt one of the most strategic acquisitions we [Cisco] ever made. If we had been to do it once more I most likely might be tricked into paying extra for it,” mentioned Patel.

