Name: Forcepoint AI Data Security: Your Partner First Look | EMEA
Uploaded: 2026-08-26T10:01:18.493Z
Duration: 45 min 16 s
Description: Forcepoint AI Data Security: Your Partner First Look | EMEA

Transcript for "Forcepoint AI Data Security: Your Partner First Look | EMEA": Welcome, everyone. Thank you so much for joining the Forcepoint AI data security partner first look preview. You're getting exclusive preview and visibility to the demo of our Forcepoint AI security product three weeks prior to our public sharing of this at Aware on September 16. So I'm Sarah Underwood. I lead global partner marketing here at Forcepoint. And what you're about to see is the Forcepoint AI data security, and you're going to see it before the market does. So our goal over the next forty five minutes is very simple. It's to make sure that you're enabled, to make sure that you get the partner toolkit into your hands so you can begin outreach and ultimately begin selling. And by the time your customers see it and they start asking you questions, you don't have to catch up. You're already gonna know you're gonna be ahead. So let's go ahead and get into the agenda. So today, we will have Tim Puccio, our global channel chief, go through the market opportunity of AI security. And from there, we'll do the product and live demo with Salah Nassar, our VP of product marketing, and Pradeep Vasu, our director of AI data security product management. And lastly, we'll have your channel director go through the go to market playbook. That's essentially the road to revenue where the first half of my road to revenue is enablement, how to sell it, making sure that you have everything that you need to be successful, as well as the how do you bring your customers into it. And then at the end, we will do q and a if there is time. And also one more logistical note is you will receive a full recording of this afterwards, and you will receive the AI data security partner toolkit in your inbox shortly after this as well. So let's get into it. Go ahead, Tim. Thank you, Sarah, and thank you all for taking time to join us today. And more importantly, I wanna thank you for your commitment to our customer success and your loyalty to Forcepoint. We we understand that you have choice and that your time is incredibly valuable. I wanna personally thank you again for all that you do for us and for our customers. With that, I'd like to start with some perspective on the size of the opportunity and what we believe is one of the largest new category opportunities that has been seen in years. This opportunity is real, it's here, and it's now. If you think about what Gartner is predicting and some of the information they've shared, you know, they believe the AI security market will grow to $16,500,000,000 in 2030. The data security market alongside that will grow north of $14,400,000,000. At the same time, spend in AI security will grow six fold. This is no longer a niche. This is two very large fast growing markets converging into a $35,000,000,000 plus opportunity for all of us. The evidence has has already proven itself. I mean, it's a little startling when you look at this slide and you think that 57% of employees have already entered confidential data into their public AI tools? Think about that. I'm gonna pause for a second. More than half of the employees in your organization have already exposed confidential information in a public AI tool. What makes it even worse for organizations that 80 plus percent of those companies out there have no automated way for visibility or the ability to stop this from happening? You know, the reality is is AI adoption is already here. It's already happened. Governance just has not kept up. I believe the gap is our opportunity. The cost of doing nothing for our customers is real and this is a today problem. This is not a tomorrow problem, and this is something we must act on now with urgency and purpose. So where does the risk lie? Maybe I'll just focus in on three areas that we kinda isolate in in our conversations with customers. First is sanction AI. I mean, most customers today have deployed chat, GPT, Copilot, Cloud, or some type of AI in into their environment. The reality is every single prompt and every piece of data that goes into that is exposed. Legacy DLP technology, was never built to examine or look at that payload. The second one, pretty straightforward is shadow AI. We talked a little bit about this before. Just think about how many AI tools you use on your own your cell phone on a daily basis, personal accounts. How many browser extensions have you downloaded? Are you using coding tools? Are you making things faster? The reality is is these things are proliferating inside of our environments and policy cannot reach it. It just can't keep up. On top of all that, you've got autonomous agents out there literally reaching into applications like Salesforce and Microsoft and Jira, SAP, you name it. They're acting on service account credentials with no attribution and no audit trail. The controls built for email, for endpoint, can't see, like they just simply can't see a prompt, they can't see these agents. That's the visibility to control gap that exists today. Your customers see it, they feel it, they're trying to solve for it, they simply can't. That's exactly where we fit, exactly where Forcepoint and hopefully you'll learn today how we help you with solve that problem. I wanna be clear on this slide here. This is not a force point marketing position slot. It's not our opinion. This is information that we gathered through hundreds of customer conversations, briefings with analysts, and it was like Gartner. I mean, there's five examples on this slide that resonated in almost every one of those conversations. I'm not gonna I'm not gonna read them all to you because we can all read, and I'm sure we're gonna share the presentation. You can pull us down with yourself, to to get into the details. But let's just talk about the the most popular pain point we heard, and it's it's shadow AI visibility. Every every organization we interviewed asked us the same question. How do we know what's out there and how do we solve for this? It's real. You know, and and customers, unfortunately, are not in a position like they were years ago to just say, you know what? Turn the on off switch down. Shut it down. Close this off. We're not gonna use it. AI has brought such a business advantage to our customers and that they have to use it. So they're looking for surgical precise solutions that can come in and establish some guardrails, allow them to accelerate adoption and do more with their technology, not less. So this is exactly the conversations that are happening in customers already. And, you know, the Forcepoint team is here. We spent a lot of time traveling the globe, enabling our internal teams, and we're doing the same with the partner community now to be ready for this conversation. So please engage the team and leverage us, to go have this conversation with your customers. So maybe I'll come down just a level on this on this last slide here for me. How do how do we engage? What's the best way for us to get started with this conversation with the customer? So I'm gonna keep it simple. You know, like, let's make this a very basic conversation. Together, we have thousands of, like, long standing DLP customers on Forcepoint. You've won them, you've been successful, you've helped those customers build their policies, build all their environments out. The great news is our AI platform is a simple, would you like to add AI capability to your DLP platform? No reclassification, carry up carry your policies over, no rip and replace of the environment that you had spent years building. So just exciting. It's probably one of the easiest conversations you're gonna have on a cross sell expansion with a customer. You know, I'm probably not supposed to share this, but we launched in our internal, Forcepoint on Forcepoint environment. We launched the AI technology. And within thirty minutes of it standing up, we were able to see the value of the, you know, the AI that was out there, the the tools that are being used. It's incredible. So that's the first one. Just make it simple. Go have that conversation. Bring us in. We'll make sure you're on with the information. The second one for net new, I love this because this is different. This is not about a tool. This is a simple conversation. Go in and sit with your CISO, your your risk manager, your security resource, whomever that contact is and just ask the simple question. What is your company and what are your employees doing with chat GPT right now? And sit there and just be quiet and you're going to listen and hear this uncomfortable swarming in the chair, the answer that's kinda rambles on because they don't have an answer. That will expose and help you learn exactly how to position the solutions to solve this problem for them. You know, Sarah, I have to say I'm I'm so excited that we're having this conversation with our partners before our public launch in the technology and the solution at our aware conference on September 16. And I hope and encourage each and every one of you to spend time with the channel team, the SEs, the sales team to learn more about this. Make sure you're that partner that's a continued trusted adviser, and you engage us quickly to start having these conversations now. With that, I'm gonna hand off the conversation to Salat and to Pradeep to take us a little deeper into the solution. But thank you for the time today. Awesome. Thank you for that intro, Tim. This is truly, a game changing industry right now. We are as you guys know, the way you're interacting with your technology on a day to day has heavily involved AI. And this is exactly what's going on in the industry, and this is why data security is so important. If we look at the impact of data security on the industry, what does it come down to? Well, it comes down to me being able to protect my organization from a breach and me pre being able to protect my crown jewels from leaving my organization. And the biggest threat to that leaving now that has not been yet controlled is AI. And with Forcepoint having been around, this is our pedigree, understanding what data resides in your organization, where it resides in your organization, and being able to protect it. We've had this conversation with thousands of customers over the past twenty plus years. We built our technology specifically for identifying that type of sensitive data. We understand many different use cases as Tim was was going over, whether it's health care, SMB, large enterprises, big banks, we have that experience. And now we are working with these organizations specifically on how do we solve for data security. And if we look at what is data security from the ground up, it's evolved over the years. We've solved for the basic foundation of, hey. I just need a policy to stop this kind of data on my endpoint and in my data centers. That technology evolved into me being able to understand and classify my critical data, which which we did with DSPM and extended that to cloud on prem, multiple devices, multiple clouds. Right? Then we added data detection and response because not all data is at rest. Some data is created in real time. Some data hasn't yet been touched. And the ability to identify something as touching data and be and and quickly understanding what level of sensitivity that data is and provide a quick response for a team before data classification has had the chance to really scan it and classify it is game changing. And that is the foundation that we are adding AI security to. Right? We are going into the AI security market with a data first mind. If we look at now what is going on from an AI security and if I can bring those together. Traditionally, we've had to secure data that was on prem. We extended those controls to devices to clouds with the advent of SaaS applications and the explosion of cloud usage with technology like CASB and DSPM and other, other hooks that we've done in cloud applications and SaaS applications. Now the biggest problem that every organization tells us, whether they are an on prem first or a cloud first organization or a hybrid organization, is they need to understand the employee usage with AI. What sanctioned applications are in my organization? What shadow AI is in my organization? What agents are functioning in my organization? And this is the uniqueness of Forcepoint's approach. Is now we have that visibility, and we know how the sanctioned AI applications, how employees are interacting with them, and how these applications are interacting with your data. We have complete visibility of shadow AI, as Tim mentioned earlier. We deployed this internally, within our within Forcepoint, and IT quickly realized, holy cow. We thought we had blocked DeepSeek. We see employees utilizing DeepSeek. So it gave us immediate return on value within within, within minutes. I think, Pradeep, you can correct me on that. Yeah. Right? And then, AI agents, and this is the weirdest world for me now. Like, we have to relearn how, this world functions with AI. I now have multiple agents, and these agents have my identity. From an IT perspective, Salah is now utilizing multiple applications at the same time, connecting to different applications at the same time, running twenty four hours a day, running reports, dashboards, creating data, etcetera. The this is how AI agents work. And AI agents use my identity because I'm the one who spun them off. Now organizations are saying there's not one salah in the organization. There's about ten, twenty, thirty, forty. There are some predictions out there that there will be up to a 120 agents per employee operating at any given time. Right? So what is going on with these agents? What data are they accessing? Where are they utilizing data, moving it, touching it? This is the new world of data security. And to begin to approach that, we truly believe that you need to start with the data first. You start with the data first. You look at your data in motion. You look at your data at rest. You look at your your data in use, and this is where AI comes in. You understand the visibility of where this data is being touched, have full visibility of what AI is in your organization, what users are there, adapt to it as the threat changes, as new data is created, and be able to apply protection based on the organization's policy, whether it's a whether it's a small law firm or it's a large bank. And this foundation allows you to truly be able to deploy AI security and safely enable AI in your organization and solve for one of the the biggest threats that Tim mentioned earlier, which is where is my data? Am I in breach if I deploy AI in my organization? This is by far the number one concern of every organization out there deploying AI. And this foundation also allows organizations to govern their AI in their organization. And in doing so in a single platform with a single policy control, a single dashboard view of these risks, you can truly apply some additional functionality that also help organizations deploy it, such as technology like AI guided security with our ARIA that not only helps you create policy, but can ad hoc create different types of dashboards for you to show you where the riskiest users are. Right? You have the ability to manage in the incidents with built in incident workflow as well as be able to safely enable AI in your organization and provide the right guardrails around these different models that organizations are either signing up for, like the anthropics of the world, or downloading to their organization, like, off of Hugging Face so they can have their own personal LLM that works on specific workflows. You need to be able to control what do these different models have access to in your organization. This is the kinda platform and technology that allows organization to truly have full end to end visibility, safely enable AI, prepare their data from overexposure to AI, as well as be able to govern data for the usage of AI. Right? And this is incredibly unique for us at Forcepoint, unique in the industry because we can apply this everywhere. We can apply this on prem, multiple different types of devices across different SaaS applications, across different clouds, as well as integrated with different LLMs out there such as our recent announcement with OpenAI as well as Cloud and more to come such as Bedrock, Copilot, etcetera. Pradeep, could I hand that over to you to discuss some of the use cases and then we get into a little bit of the demo aspect of this presentation? Thank you, Salat. I'm super excited to show you what we have been building around AI security. I wanna start with the AI governance dashboard and show the visibility that Forcepoint provides across sanctioned AI applications, shadow AI, as well as agent decay AI. AI governance dashboard is a single pane of glass for all visibility purposes for the administrator. It provides you multiple dashboards within the same governance dashboard kind of curated with the specific theme of information that would help the administrator to get to the information quickly. The AI tool landscape provides you visibility into sanctioned AI applications and this information gets populated as soon as the administrator configure the API connectors to one of their sanctioned applications. Out of the box, we support most commonly used AI applications like Chargebee enterprise, Microsoft Copilot, cloud enterprise, as well as AWS bedrock. So once the dashboard is populated, the admin can simply drill down into each of these KPI cards and look at detailed information about the human identities that we could find within that application. Agents, these are built in agents that Microsoft might spin up for Copilot's work and we get visibility into those. Total number of activities that's happening whether it's a prompt, response, file uploads, file downloads, gives you a full roll up of metrics around the granular activities that's happening within the application, who are your top users, departments they belong to. And most importantly, with the integration of our DLP product, we are also able to show you the sensitive data that's already shared within these AI applications. And along with any DLP violations that are getting generated because of the DLP policies that you configured for the application. For Copilot, specifically we are also able to show you the data sources that's also connected on back end of the Copilot. Basically, we are not only looking at prompt and response, but we are also looking at the files that's touched by Copilot whether this reside within OneDrive or SharePoint. The next important visibility that the administrator needs is into the shadow AI applications. While sanctioned applications gives, security teams centralized visibility into who's using AI, which AI applications are being used, what agents are might be running on the endpoints, and ultimately what sensitive data is being exposed within those environments. With unsanctioned AI applications, we're able to provide the admins with visibility into specific AI destinations that is unapproved by the security or IT teams along with the category that it belongs to, the total number of users accessing it, and the activity mix, whether it's just a simple visit or something more like a prompt response file uploads and downloads. For example, you can look at that, we do have end users accessing a risky website like deep seek. So the admin can now drill down into that particular entry and look into who the specific users are, which departments they belong to, and what kind of activities they may be doing. And this is really important because now the administrators can coach the users or provide some kind of understanding why risk why accessing risky websites might be very harmful for the sensitive information. On the same dashboard, we also provide you visibility into all types of identities that we are able to see within the organization. Whether it's a human user, or whether agent identities, and the complete footprint of the actors within the organization. Visibility is important, but the challenge becomes very different when AI starts taking action against the enterprise systems. That's where the Forcepoint AI agent comes in. From the admin perspective, these are very simple configuration steps. For example, the administrator would go simply deploy a gateway connector to any of their enterprise systems. Out of the box we support Atlassian, Microsoft three sixty five, Salesforce and many more to come. So within the Atlassian, the administrator can already see all the tool calls that's available for the MCP server and they can configure the type of authentication that they want the agents or end users to perform. Next, you can go and configure the access control policy on defining granularly what kind of the tool calls can be made by the user or the agents. For example, here I'm showing a deny edits policy. That means I do not want any AI agents or end users accessing the Atlassian application to make any updates or deletions into the system. Now let's switch to the end user side of the experience. For example, I'm here I'm using Cloud AI as my AI assistant to connect to the, Atlassian application. And I simply want to go and ask a question. Get me all the information about a very specific Jira ticket, and let's look at what cloud does. Cloud starts looking up for specific tools that it's needed to make the request and it finds out that Forcepoint AI gateway is already configured as the only connector to talk to the Atlassian applications. So it was quickly able to find that and the information now flew through our MCP gateway and I'm able to get that information. Now let me try something different. I want to go and tell Claude can you update the same Jira ticket and adding a comment saying just contact Pradeep for additional information on the product design. Claude once again looks up for a specific tool and now it comes back saying that it cannot perform it because there's an access control policy on our AI agent gateway that's blocking any kinds of updates to the application. So with this, we are able to provide you runtime controls, and most importantly, we aren't blocking the entire application access. Instead, we are granularly telling what the AI agents or the users can perform within that applications, as well as what kind of data can be fed and retrieved back from those enterprise systems. With that, I pass it back to Salah to bring us home. Thank you, Pradeep. That was fantastic demo. Look, folks, what you really just heard are really five major use cases that help us solve specific scenarios, specific problems that customers have. Right? Data detection across all AI usage. This is foundational to every organization. The visibility of sanctioned AI and being able to apply guardrails around those AI applications. The ability to discover shadow AI as well as add additional controls to these AI applications, such as stopping Salah from accessing deep seek, to be able to do custom AI agent monitoring as more AI agents are being utilized in organizations, as well as AI agent gateway runtime controls. And this is an area that we will continue to develop and continue to grow. The biggest differentiator that we bring to the table at Forcepoint is that while many organizations are starting from AI visibility and trying to work their way down to apply controls at the data level, we come at it from the other perspective. We have complete data visibility and control across the broadest spectrum of applications on prem, in cloud, many devices. And now we're adding that visibility and control of AI as organizations adopt it. This is an incredible game changer for us as an organization, putting us as a leader in the industry when it comes to AI security and AI data security, hence, our new platform, AI data security. Happy to continue to meet with you, give you more updates, and share with you demos as they come out. And with that, Sarah, I will pass it back to you. Thank you so much for that, Salaam, Pradeep and Tim. So the next section is the go to market playbook, and we'll have John Kane, your EMEA channel director, walk you through it. Thank you so much. So first of all, let me introduce myself. I'm John Kane. I am the senior director for EMEA EMEA channels here in based in The UK for Forcepoint. And my section is really just to let you know what you can do, what you can take advantage of for this early access to our AI products and collateral. That's the reason why we're doing this to our channel. If we can't teach you, we can't make you aware, and we can't expect our channel to educate our end users unless we educate you, our channel. So we're giving that three weeks notice to be able to take this, learn it, inform, create pipeline, all the way through to closing business. So my job here is to explain what is available and how we can help you do that and achieve that with our new AI product that you've seen earlier on. So the road here to revenue, the path to profitability, the avenue to affluence, as we say, and it's a route of everything I'm about to show you. But you'll see it's a path and it's a journey that we'll take our channel on. And for every single section is a stop, a part of the journey on this road, which we have information for and we have planning for. You'll notice that this is broken into two sections. The first part is enable and certify. Again, like I mentioned, we need to make sure that our channel understand what it is that we're launching, have all the material it possibly needs, and to be able to deliver that, not only for themselves, but then to their end users. And that's where we bring your customers into this journey. So the first part here is aware, which is our public launch. Again, bearing in mind, we've given three weeks notice to make sure that our channel are aware and have digested this to be able to launch that to our end users. Then during that, we've got the AI data security tool. I'll give you more information on what we're proposing to do across the EMEA region. And then finally, with the aim of making sure within q four, we start getting some pipeline and some wins as part of this as well. And I'll explain each of these in turn as we go through this. But let's be bear in mind, what we're really keen to do is engaging with your channel account manager across your region is to make sure that you understand in your own language, with your own culture, with your own experience, meeting with our local teams to help you educate all along this route. So, again, we're not expecting you to do this on your own. Your AI data security partner toolkit. The amazing thing is here, this is available to you straight after this recording. You're not gonna wait for a couple of weeks to understand what's gonna be available. It's all ready for you now. So it's gonna be hosted within our Forcepoint hub, and you don't have to chase anything. This allows you to enable yourself with all of this collateral that's here. So I'm gonna take you through each one of these in turn. But, also, not only just giving you the enablement element of this, but also the customer assets, information you can take to give to your end users to back up what you've learned so far. So for example, the partner sales guide, a great way of understanding what it is that we do in a very high level eight page document, enough to understand what it is that we're doing, what problems we're solving, much of the information you've already seen in this webinar so far. The customer pitch deck allows you to then incorporate this within your own deck to make sure you're putting across the fourth point message from an AI point of view. We've then created the campaign kit, which allows you as a partner to be able to deliver this to your end users from a marketing collateral point of view to start generating interest in this. And again, to back that up, we've got FAQ, frequently asked questions that we're able to at least answer some of those partner specific questions that you have. But also, competitive guide. Working with some other vendors that we know we may compete with or there may be crossover to make you sure you understand what our differentiation is. And then passing that on to you to allow you to put across your differentiation as well. And then we're gonna show the recording of this partner enablement webinar, which you can watch again, and more importantly, pass on to the rest of your individual company to make sure that they can go through the enablement. And like I mentioned before, you've got the solution brief, the data sheet, the value prop, and the AI security ebook, all available for you as a partner to be able to deliver to your end users. So the way that we look at this toolkit is, number one, is to learn it in your own time or working with your Forcepoint team, and I'll talk about the Forcepoint team in a second. The second part is to sell it, to start this conversation with those end users, to start incorporating this within your pitch, within your portfolio, and more importantly, to be able to deliver that to the end users of where they're gonna stand to gain the benefit. And the final part is taking that to the end users themselves, which again is collateral that they may require to back up what it is that you're talking and discussing. One thing we've got there at the bottom is talking about AWS Marketplace. Just to be clear, this is being worked on and is in progress, fingers crossed, ready for October. But that's a really, really important point. Make sure you bring that up with your channel account manager if you need to discuss that further. On that very note, this is our regional team, the channel account managers that we have across our entire region. We cover a number of areas, as you can see here. We focus on Africa with with Oud. We have Dima looking after Saudi. We have Semi looking after Turkey, Lebanon, and our rest of Gulf. We have Eastern And Nordic Region with Lucia. We have Chincia, who is responsible for our Southern region. We have Adam, been here. If you're looking after The UK and I, we have Magaly, France and Benelux, Olaf responsible for DACH and Israel. And we're currently hiring, fingers crossed, in any week now to have somebody covering our UAE, Qatar, and Pakistan region. So as you can see, we've got coverage across all of these. Again, speaking the same language, understanding the culture and differences, and many of you as partners and distis will know these individuals already. But I strongly recommend you reach out, not just to the team, but to myself as well. Our job is to make sure that you're enabled and responsible enough to be able to take that information to your end users. And remember, one thing is very, very clear in all of this. One size does not fit all. Every region, every country is different. So, therefore, if you wanna train your sales team and technical teams, if you wanna take our messaging to your end users, if you wanna actually host an event specifically with you as a partner in your region, we wanna really make sure we encourage you to take that to us and see if we can work with you to be able to do that because your success means our success. And then this is all leading up to our public launch, which is our aware event. This is the reason why we're delivering this early to make sure that you as partners understand what it is that we're launching, what is available, and therefore start to encourage your customers to join this event that we have. This is a big event. As you can see, they're able to see it live. You've already seen some of this already, which is important. But what is good is make sure you invite your customers to this. And you should have this registration link that we can obviously supply should you need to. Make sure you attend the event with your end users as well. This is great because it's quick and more importantly to the point to be able to hear directly from Forcepoint what the benefits will be to an end user Unable to follow-up fast. So what we really want you to do is encourage your end users to join this event. And make sure that you can follow-up after as a result of that to find out where that interest lies. And again, where we can help you with that as well. So this is all leading up to aware where your partner readiness is important to make sure that you can then start delivering on customer end user pipeline. Then we've got our AI data security tool. Now, at the very top here, you'll see some of the cities. This may change. We may be adding on to this, but these are currently where we're looking to have these. And this can also dictate on where we can do this and when we can do this. So this is likely to change to a certain extent. But the most important thing, like I mentioned before, is one size does not fit all. We wanna ensure that we're delivering this not only to our partners like we're doing now, but also face to face. But I wanna also make sure we're delivering this to end users. And the best way of doing that is face to face. Again, like I mentioned, local language, being able to meet with a local team. So on the left hand side there, why should you bother to attend? You get to see it live. You're able to see the product, ask questions, understand what it can do, what the benefits can be to you, and how it can support your portfolio and your services, but more importantly, complement the end users' need and desires. You get to meet our team, speak to the Forcepoint team in region. Nothing can replicate face to face and it's a really important point to get across. In own language and spending time, there is no price that we can put on spending time, not just with the channel team, but with our technical, with our marketing, with our renewals team. Again, making sure you're then networking, not just with the Forcepoint team, but with other partners and other distis. We already have communities of partners and distis across the region. What better way to make sure that we encourage that is to have that in region. Then, to be deal ready. What we mean by that is to make sure you've got next steps with you specifically and those end users that you may have at that event as well. So that's why we encourage you to bring those end users at the same time to be able to hear this messaging and for you to be able to support that messaging as well. And again, this is all what we're proposing. The locations, depending on feedback and requests from you guys, we're really keen to make sure we get that from you. If there's anywhere that you believe that we should be delivering this, if you want us to deliver it to your end users, if you want to have a bigger event as in multi vendor, again, we're very, very open to doing that as well. Because, again, each region is very, very different. What I wanna do is finally thank you all for your commitment and your effort as always. I wanna encourage you to reach out to your cams, and I'm gonna hand you back over to Sarah. Thanks you again for all your time. Alright. So now you've seen it before the market has, and that is your head start. And it begins the moment that you leave this session. And you're not doing it alone. You have your channel account manager and your the entire Forcepoint team behind you to ensure that you're successful and you have everything that you need to do the outreach, to have your partner toolkit, do your customer slides and presentations, to ultimately drive revenue. So three things to do. So number one is to schedule a call with your channel account manager. So figure out which accounts to go after together and find the customers who are ready now. So it's it's how early access turns into pipeline. Number two is to bring your customers to Aware. This is September 16. The easiest way to get an executive into something. Right? A virtual event. It's not a sales pitch. It's nothing in person. There's no travel involved, and they're gonna hear the whole story from the source. Number three, register for the in person tour in a city near you. And that way you can bring your customers. You can meet the Forcepoint team in person and just get hands on. So if you do anything after this session today, definitely reach out to your channel account manager and work together such as to start finding customers who are ready now. So you have the product, you have the toolkit, and you have the entire team behind you. So let's go ahead and put that head start to work. And I do think we have a few minutes for q and a, so we will jump into that. It looks like we have a lot of similar questions, and so I'm gonna get to just a few of them. So someone asked, how hard is this for the customer to actually stand up? What are they signing up for in the first couple of months? Pradeep? It's less than what, people assume. If they're already running our DLP, those policies carry over to AI. They are not reclassifying data or replacing anything. Aria, our intelligent, assistant gets them to a government set up in less than an hour. And the first month or two, it's really just, you know, turning on and kind of in a discovery mode, see what's actually happening with AI across the environment, and then start enforcing, where it matters. So you don't have to boil the ocean on days one. See it first and then lock it down. Awesome. Thank you. And then another one, it looks like, for Tim. So and it looks like you touched on this, Tim, but people have, would like some elaboration. A few people are asking you a version of the same thing. Where do I actually start? If I've only got the bandwidth for a handful of accounts, who do I go to first? Yeah. Great great question, from the audience. My suggestion is is as we discussed at the beginning, keep it simple. Go directly to your existing install base, the folks that you are, closely aligned with, and have a conversation about extending the existing capability to AI. Secondarily, if you're trying to prospect into new accounts, find risk leaders, security leaders that are struggling with how do they protect their environments and have become a simple conversation, use the chat CPT conversation. Keep it very business oriented and just a simple dialogue, and bring us in to help you. We'll support you through that entire conversation when you're ready. Perfect. And then, Salah, here's one for you. How is this different from other vendors saying they do AI security? Oh, that's a great question. I did start touching on that. Look, AI is truly just another channel, that touches your sensitive data. That is a bit oversimplifying it. It's, as we all know, much more than a channel. There's the shadow IT aspect of it. There's the controlling the sanctioned application aspect of it and applying guardrails around it. Where we come in differently is we already have that technology and the ability to provide shadow AI and shadow IT visibility, the ability to control access to these applications, as well as interaction between the user and these applications, and now the ability to have the visibility of agents running on the user's behalf and how they're interacting with sensitive data and what data they're creating. The biggest differentiator for Forcepoint is that we are starting from the data first and extending that visibility to AI, where a lot of other vendors, what they are doing is they're starting at the network layer or at the visibility first and trying to get back into the policy aspect of controlling AI interactions. And this is our biggest differentiator. We know the data. We can apply policy. We know the users. We understand risk, and now we're extending that to AI security. Perfect. Alright. Thank you everybody for attending. The recording, the links, and your toolkit will be going out here shortly, and your channel account manager will also reach out to you, and help you with outreach and getting these conversations started. We'll see you at Aware.