Published to Whisper Club: June15, 2026 ID: TBW2185
Analyst(s): Dr. Doreen Galli
Photojournalist(s): Dr. Doreen Galli
ABSTRACT:
“This Whisper Report investigates What data problem slows fleet electrification most? based on expert insights from ACT Expo 2026 in Las Vegas, revealing hidden gaps in usage data, power economics, energy modeling, and risk that quietly stall progress and distort investment decisions before organizations realize what they are missing. Cited experts: Austin Smith Burns & McDonnell, Alexander Stratmoen Voltra, Dion Van Leeve Triz Engineering, Micah Gold-Utting FractalEV.”
Published to Whisper Club: June 1, 2026 ID: TBW2178
Analyst(s): Dr. Doreen Galli
Photojournalist(s): Dr. Doreen Galli
ABSTRACT:
“This Whisper Report investigates which media workflow is AI changing fastest? It distills expert perspectives from NAB Show 2026, spotlighting the workflows where AI is compressing cycles and reshaping execution across teams—signaling where attention should shift next. Cited experts : Tony Abrahams AI Media, Carl Rutman Brightcove, Glen Wastyn Freepik..”
Published to Whisper Club: May 26, 2026 ID: TBW2133
Analyst(s): Dr. Doreen Galli
Photojournalist(s): Dr. Doreen Galli
Abstract:
“This Whisper Report investigates What’s the killer XR use case no one sees coming? Across CES, three very different XR stories emerged — one surprising, two accelerating. Together they reveal why XR’s real breakthrough may not be where everyone expects. Cited experts: Paul Standford, Haply; David Sniderman, Mapbox; Daisuke Takoze, Gakugeki.”
This Whisper Report investigates What’s the next gaming tech that will change how we play? Drawing on signals from the gaming floor, the analysis hints at emerging technologies quietly reshaping production, interaction, and player intelligence. Cited experts: Justin Cosnett (Continent 8 Technologies), Will Shuckburgh (eCOGRA), Chris Chuang (Relay), Wanor Franca (CCT), Erik Regan (Plotline), Matt DeLaura (Seon), Phil Simpson (fullstory).
This Whisper Report investigates What Fintech problems are you solving in 2026? Drawing insight from on-the-ground conversations at Fintech Meetup 2026, it surfaces the pressures shaping next‑gen financial platforms and the bets leaders are quietly making. It previews how scale, trust, and automation collide before outcomes are obvious. Cited experts: Peter Daunton (Sokin), Kunal Datta (Unit21.ai), Jack Chawla (interface.ai), Liam Reaume (Sardine).
This Whisper Report investigates the question, “What’s your biggest access control challenge?” Researched at ISC West in Las Vegas, the report analyzes challenges driven by fragmented systems, persistent legacy technologies, and incomplete integrations. It finds that access control risk increasingly stems from interoperability gaps and response readiness rather than tool availability alone. Insights are drawn from Ed Hendricks of Keri Systems, Joshua Hartman of Hartman, and Peter Evans of Xtract One.
This Whisper Report investigates what jobsite tech boosts output most today? At CONEXPO‑CON/AGG, practitioners surface where productivity truly moves—beyond hype—highlighting overlooked levers shaping cycle time, safety, and uptime this year. Read on for the signals that matter now. Cited experts: Nate Jones (Weir–Esco Division), Christopher Sommer (MOBA Automation), Joel Honeyman (Doosan Bobcat), Nicolas Legrand (John Deere).
“This Whisper Report investigates how Gen AI will reshape enterprise finance operations. Researched on‑site at Money 20/20 USA 2025 in Las Vegas, it examines how financial operations are evolving under accelerating automation and intelligence. The report highlights perspectives from AutoRek’s Nicholas Botha, Veratad’s Thomas Canfarotta, Globant’s Erin StillWell, Oracle’s James Calise, Zoominfo’s Brandon Tucker, localpayment’s Ezequiel Israel, and IPQS’ Shea Craft.”
Published to clients: February 24, 2026 ID: TBW2115
Published to Whisper Club: February 24, 2026
Analyst(s): Dr. Doreen Galli
Photojournalist(s): Dr. Doreen Galli
Abstract:
“This Whisper Report investigates how will AI change warehouse architecture. Researched at the Retail, Supply Chain and Logistics Expo in Las Vegas, it highlights how AI boosts worker guidance, accelerates operations, improves predictive decisions, and reshapes automation across physical and digital systems. It also stresses fragmented tech stacks and future robot‑centric warehouse design. Quoted: Steve Harris (Warehouse Craft), Priya Katyal (PGS360), Petros Dertsakyan (oloround), Rodrigo Hernandez (Bazarup), Sean Elmurib (Backops AI), Naushad Ahmed (MetaOption), Ingo Pietruska (Lufthansa).”
Chief Technology Officer, Chief Information Officer, Chief Supply Chain Officer, VP of Warehouse Operations, Director of Logistics Strategy, Head of Automation & Robotics
Machine Learning Engineer, Applied Scientist, Robotics Engineer, Computer Vision Engineer, Data Engineer, Data Scientist, AI Solutions Developer, Automation Controls Engineer, Embedded Systems Engineer, Platform Engineer, AI Agent Developer
We took the most frequently asked and most urgent technology questions straight to the professionals gathering at the Las Vegas Convention Center for the Retail, Supply Chain, and Logistics Expo. This Whisper Report addresses the question regarding how will AI change warehouse architecture? as depicted in Figure 1.
Figure 1. How will AI change warehouse architecture?
The first change is suggested by Warehoues Craft’s Steve Harris. “It actually will change quite a few of the functions as far as directing employees. It will never replace employees. There’s always going to be a hands-on aspect as aspect to a warehouse. AI though will allow you to use some of those employees. It makes those employees smarter. For instance with our specific software allows them to if they don’t understand a process to ask a pro about a process and get clarification on that. So shortens the process requires them or doesn’t require them to go ask somebody else but takes a maybe a 5 or 10 minute delay and that AI is going to actually shorten that to just the time it takes to get the answer back from AI” Nothing like instant help from an expert while on the job to provide much needed clarity.
Beyond human collaboration, expect AI to show systemic gains. The second change is suggested by PGS360’s Priya Katyal. “The speed of delivery of different solutions, different problems that we have to solve for our customers to help make everything more efficient and fast track the solutions that we provide.” oloround’s Petros Dertsakyan couldn’t agree more. “Help with optimization and better operational flow. Make it lower cost, more efficient, but also there’s a lot of predictive information that Auwill come out of this that can’t be done individually now with the basic models that exist. So you’ll have better ability to like predict do predictive skew modeling uh reorder rates and inventory distribution also decide better on what will sell won’t sell and maybe even beforehand detect where you should have things go and where you should up marketing information for because you know it will sell better there and also seasonality. It’ll give you good seasonality, predictions, and potential future forcasts.”
Beyond collaboration and systemic changes, AI will also cause physical changes to the warehouse that affect the technical architecture as discussed by Bazarup’s Rodrigo Hernandez. “Automatization of processes, right? So AI will not only apply to to warehousing but really every process in terms of substituting with artificial intelligence manual processes that they exist. When we talk about warehousing, it goes even all the way to robots operating what people do today. And that’s not even futuristic. That’s happening today in bigger warehouses. So, at some point, it’s going to make processes more efficient. It’s going to make them cost saving as well. And you’re going to need less and less manual work to do better processes. So, I think that’s the best the best way to describe it.”
But the automation will not be restricted only to the physical warehouse. Backops AI’s Sean Elmurib Suggested. “a lot of parts of the supply chain, a lot of parts of the tech stack are very fragmented. Right? An operator can have four or five different software that they need to go pull data in from. And so what we realized is why not aggregate all that data into a centralized platform and then on top of that run agents against. So that’s kind of where I think uh you know supply chain type is headed and where warehouse automation is headed as well.” MetaOption’s Naushad Ahmed provide a more concrete example. “AI is going to do instead of user making a decision or predetermination user is making especially with the big warehouses where you have a 10,000 mains you have the multiple floors… AI is going to make those recommendations based on all the history and how exactly you are picking guys you are picking the product how the products are moving within the Warehouses.” Yet keep in mind. As Lufthansa’s Ingo Pietruska elaborated at some point in time, “warehouses will be built for robots, not for humans anymore.” For today, that is still a bit into the future.
Published to clients: February 17, 2026 ID: TBW2086
Published to Whisper Club: February 17, 2026
Analyst(s): Dr. Doreen Galli
Abstract:
“This Whisper Report investigates how AI and behavioral analytics enhances identity security. It highlights how organizations manage identity scale and emerging threats using behavioral baselines, anomaly detection, and contextual risk scoring. Researched at Identiverse held in Las Vegas, it incorporates quoted insights from Lumos’ Janani Nagarajan, GitGuardian’s Dwayne McDaniel, CyberSolve’s Ankush Kappor, Oasis’ Guy Feinberg, Simeio’s Octabio Lopez, Clarity Security’s James Davidson, Cubeless’ Treb Ryan, Apono’s Ofir Stein, Keeper Security’s Craig Lurey, Imprivata’s Diron Chain, and Panini’s Jim Harris.”
We took the most frequently asked and most urgent technology questions straight to the Technologists gathering at Identiverse 2025 held at Mandalay Bay in Las Vegas. This Whisper Report addresses the question regarding of how can AI and behavioral analytics enhance identity security?
In short there are two big motivations driving the adoption of AI and behavioral analytics. First, as Lumos’ Janani Nagarajan reported, “It is really critical to know the difference that in identity where it becomes harder with tons and tons of applications tons and tons of identities including machine identities. Those people are accessing, in addition to the machines, they’re accessing the same apps and it becomes a tangled web of permissions entitlements. It really becomes complex to operate at human scale. You cannot throw in more people to solve this problem. And this is where AI and analytics plays a huge role in solving for identity.” In other words, the mere scale of the identity space in most organizations demands AI to effectively manage.
The second reason to adoption AI and behavioral analytics in identity is because as Dwayne McDaniel of GitGuardian affirmed, “ ways to attack someone is to assume their identity and act on their behalf in a weird way this is especially true for machines.” Furthermore, AI is being used against the identity space to steal someone’s identity – specifically as deep fakes. As CyberSolve’s Ankush Kappor argued, “AI is changing the scenario in a dramatic sense in two ways one the adversary now has a lot more options to play with deep fakes are a big problem where previously you could use facial parameters for authentication and so on so forth with deep fakes that is that is no longer the case so there’s a cause for concern right there that are existing control is now breaking down because of AI.” But facial IDs are not the only identity form let alone the only biometric identity under attack from AI. Kappor went on further to explain, “voice-based authentication is also under risk you’ve seen companies like ElevenLabs and the kind of ease with which you can actually clone somebody’s voice a concern the last thing that I would like to really point out.”
Example Use Cases in Identity
Now that we understand why leveraging AI and behavioral analytics is important in the identity space, let’s dive into the use cases as depicted in Figure 1.
A common starting point in behavioral analytics is to create an analyze a behavior graph. Oasis’ Guy Feinberg suggested, “We use AI to identify the baseline for the behavior of different identities so we can create this graph to show you the different anomalies. When there’s a threat actors utilizing this identity or a deviation from the business justification of the original identity the use that why we provision it for. AI is a way for us to identify faster with better accuracy uh and also it helps us kind of fingerprint different threat actors that target different type of non-human identities as their favorite factor.” This graph is then used as Simeio’s Octavio Lopez summarized, “What AI is going to be able to assist us practitioners with IM (Identity Management) is being able to make you get signal out of the noise that we see every day. Whether it’s like identities being able to figure out what roles they need to have or even just combing through all the statistical data that comes from all the systems ,AI is going to be really useful and being able to make our lives a lot easier.”
One popular signal noise AI is great at identifying is that of unused access. Per Clarity Security’s James Davidson, “Governance is all about understanding who has access to what and is it appropriate the behavioral analytics is how that access that exists is being used so one of the mistakes people make is you know you have a company you’re operating all the time you’re creating new access to solve problems but you’re not keeping track of that access that you created and then you’re not keeping track of how that access is being used so we’ve started incorporating behavioral analytics things like have you even logged intothe software if you’re not logging in then maybe you don’t need it.” A useful example was provided by Lumos’ Janani Nagarajan. “’Hey I see sales have access to these CRM apps which is great but I see these three people not using them. Can you make sure that you put them back to the pool and maybe you know give them at least a warning that they’re not using it?’ That that means your least privilege access stays intact. The security risks are driven down but your productivity is not compromised.” Imagine that. In one step you not only improve your security by reducing unused access but potentially reduce your software licensing fees.
While it is important to identify unused access, unusual access is also critical to monitor. CyberSolve’s Ankush Kappor proposed, “looking in data looking at usage patterns of uh users to come up with risk scores and then determine which usage patterns are more risky for example if you normally access a certain application from certain locations in the US and one fine day connections start coming in you know uh from Asia that’ll trip up a few flags and then that analytics can prompt you for a higher level of authentication.”
One use case end users can really get behind was brought up by Treb Ryan of Cubeless. “What I think what we really use AI for is to come up with answers in integrations that they’re transparent to the user so when they get in it just works.” As Apono’s Ofir Stein expanded on, “few that we already did for example user experience we provide list privilege with AI agent that help you to get access to what you need only what you need in the platform this is actually take the least privilege approach into the day-to-day.” Finally for those not enjoying those pesky challenge questions, CyberSolve’s Ankush Kappor shares the AI modernized version. “previously systems were limited to a hard hard-coded set of questions that the user could answer for example to validate you know which school I went to and so on but if AI can be enriched with more aspects of my personality and privacy concerns are taken care of – then there is a vast variety of questions that can be asked of me that probably only I can answer and answer in a certain way.”
Fortunately, the benefits of monitoring identity and access information go beyond the identity space. In fact, as Keeper Security’s Craig Lurey contends what he appreciates most about AI in Identity is, “the ability to monitor and detect threats in regards to privilege sessions. So if you’re connecting to like a database or a Linux server or Windows server or something like that it’ll actually monitor the interactions. It will look for any high-risk type of actions and look for any malicious activity and so it does this all zero knowledge. The customer posts what we call the keeper gateway and it allows them to monitor this activity. It’ll automatically lock and kill the session if it detects any suspicious activity and then the administrator can then go back and review what took place and there’s an AI analysis um that actually summarizes the whole transaction and lets them know what happened and it’s a really perfect application of AI for threat detection.” Identity is critical to enabling threat detection and an identity solution enhanced with behavioral data and analytics is just simply better.
A common area of concern within enterprise security is always all those edge devices and endpoints. Fortunately, Imprivata’s Diron Chain has you covered. “We are able to take machine learning and AI functionality embedded within our system single sign on multifactor authentication and shared endpoint access to make sure that we understand who did what when on what machine. And the visibility in and around that allows the organization to get a lot smarter in terms of operational efficiency utilization. Taking analytics powered by AI to look for pattern anomalies. Ways in which they can analyze big data in a way that is actionable.”
Targeting the heart of the problem in identity theft, adding hehavioral AI can make all the difference. For human identity theft, Git Guardian’s Dwayne McDaniel offered up this viewpoint. “how do I know I can trust this person well if I haven’t described a specific set of things I’m allowed to do and I only ever do those things thumbs up i get a good score. If I all of a sudden start doing weird things it’s like wait a minute you don’t seem trustworthy anymore but that takes actual contextual analysis the fact I detect identity theft.” But detecting identity theft isn’t only for human identities, McDaniel went on to further explain the benefits to machine identity. “can this machine get into the system and retrieve this data under certain circumstances that’s completely normal operation how it’s going to do its work otherwise but now it’s starting to look up other database tables now it’s starting to do other things in that data source that it’s not supposed to do there’s no way a human can keep up with that level of analysis. AI on the other hand can at machine speed and alert someone to raise a flag say wait a minute something right something’s gone wrong in system so I actually see a pretty bright future for this particular use case with AI.” Please denote that he said at machine speed. As we covered in Conference Whispers: Black Hat 2019, threats can execute a complete ransomware attack for years in under 30 minutes. Expecting someone on call to get the alert, get online and stop something that fast is simply not reasonable.
AI is a new fun tool that many like to find an excuse to use to play with it. Panini’s Jim Harris offered some very wise advice, “Don’t reinvent the wheel but how can we incorporate those solutions such as things that come from Fiserv and other companies that are in that space to leverage our capabilities with theirs to deliver a whole solution for a customer.” In other words – clients should schedule an inquiry, let’s check what is available on the market that fits your specific needs. You might just save yourself a lot of time and money.
