Patching Faster in the Age of AI

  • NinjaOne
Patching Faster in the Age of AI

Webinar

Vulnerability exploitation is now the leading cause of breaches, the first time that's happened in 19 years according to the 2026 Verizon Data Breach Investigations Report. AI is speeding that up too, the window between disclosure and active exploitation has shrunk to under three days, while most organizations still take weeks or months to patch. This session covers how to modernize vulnerability management to keep up, moving from periodic scans to real time, risk based patching.

What You'll Learn

  1. Moving from periodic vulnerability scans to real time identification and patch led remediation.
  2. Building dynamic risk scoring that factors in asset context and exploitability, not just CVSS severity.
  3. Using sentiment and regression analysis to reduce disruption when patching.
  4. How Autonomous Endpoint Management cuts patch cycles from months down to days.

Speakers

  1. Mackenzie Putici Webinar Moderator Future B2B
  2. Mark Bermingham Senior Product Marketing Manager NinjaOne
  3. Tom Cipolla Global Field CTO NinjaOne
Full Transcript Video Hello, everyone, and welcome to today's special webinar event, Patching Faster in the Age of AI. Today's webinar is brought to you by NinjaOne and produced by Actual Tech Media. My name is Mackenzie Potosi with Actual Tech Media, a future b two b company, and I'm excited to be your moderator for this session today. Now vulnerability exploitation is now the leading cause of breaches. This is the first time that's happened in nineteen years according to the 2026 Verizon data breach investigations report. Additionally, AI is speeding that up. The window between disclosure and active exploitation has shrunk to under three days while most organizations still take weeks or months to patch. During today's session, we'll cover how to modernize vulnerability management to keep up, moving from periodic scans to real time risk based patching. As you can tell, this is gonna be a super valuable conversation, and I'm excited to get started. So let's just cover a quick bit of housekeeping, and then I'll get our speakers up here on stage. Alright. I've already noticed several of you introducing yourselves, but I'd like to give you all this opportunity to send a little bit of energy around here as people log in and get settled in these first few minutes of the webinar. So if you look to the right hand side of your audience console, you're gonna see a chat interface. And at the top, there are a few tabs, chat, docs, q and a. So let's look at those. Let's start in the chat. As I mentioned, I've seen some highs, hellos coming in. So if you're just joining us, send a quick hi, hello, hola, bonjour, whatever greeting you like. Looks like we've already got here, Jorge from Texas. We've got New York in the house. We've got New Jersey. Okay. We've got a bonjour from Canada. Awesome. So, yeah, keep those highs and lows coming in. As mentioned, this is your place to to send some energy around. Give us your thoughts. Give us your feedback. If you're listening in to the speakers and you have, interesting ideas, anecdotes, anything you wanna share, throw it in the chat. We'd love to see it. Love to see how you're thinking, how you're feeling out there. The chat is also the perfect place to let us know if you have any technical issues during today's session. Hopefully, that's not the case. But if your video slides audio aren't loading or syncing up, try a quick browser refresh. That usually does help. But if you're having any persistent issues, reach out there in the chat. Myself and Diana, our webinar coordinator, who's running things here smoothly in the background can, can be there to troubleshoot and help. A couple other things you consider to enhance your viewing experience, we've got closed captions available here in the platform. They're auto generated in many different languages. If you wanna put those on, just hover over the viewport, and in the bottom right, you'll see those. We've also got a light mode. So if you're traveling, if you're on a mobile device, limited bandwidth, this, toggles to a kind of pared down version of the console, so great on the small screen. There's also, react buttons. So if you wanna give some applause, some hearts, some thumbs up along the way, feel free to do that. And finally, we have a new catch up feature. So if you get interrupted, maybe you get a call, someone comes into your office, you can hit that catch up feature, that button, and it'll give you a quick summary of what happened over the last ten minutes. So feel free to use any and all of those tools for your viewing pleasure. Now we have a little bit of time here for q and a with our presenters, so put any and all questions in that q and a tab, and we'll do our best to answer those on the call. If we can't answer everything, don't worry. We're gonna hand those off to Ninja One. They'll be able to follow-up and make sure you get any information that you're looking for. And we do have the slide deck for this session in the docs tab there, so feel free to grab that, follow along, check it out later, share it with somebody who needs to see it. But don't wait until the bitter end and forget, because no one will be happy about that. So feel free to grab that in the docs tab there. Last bit of fun, we have a $250 Amazon gift card up for grabs today. We're gonna be drawing that at the end of today's session. You do need to be live and present on today's webinar to qualify for the prize as well as meet the prize terms and conditions. If you wanna check out what those are, you can see them also in that docs tab there. And with that, I think we've covered it all, folks. So please help me in welcoming to the stage our two speakers. Today, we have Mark Birmingham, who's the senior product marketing manager for Ninja One, as well as Tom Cipolla, who is the global field CTO, for Ninja One as well. And with that, I'm gonna hand it over to you, Tom, and, allow you to set the stage further. Take it away. Okay. Great. So today, we're gonna be talking about, patching in the age of AI. And, I know the pressure is at a all time high right now. We're seeing it. I have some data to show it. But then I also have some solutions to go over as well. It doesn't have to be as bad as it is. So by way of introductions, I'm Tom Cipolla. I'm the global field chief technology office for NinjaOne. Most of my time now is spent talking to customers, to prospects, and also as many people as I possibly can, interact with. And, my prior role, I was with Gartner as an industry analyst of the endpoint management space for about five years. And, that was my job there too, was to talk to customers to help them with their biggest, most challenging problems. And so I've sat on both sides of the table. I've… I was a practitioner back in my in my prior career prior to Gartner. I was responsible for end user computing in a financial services setting. I know what it's like to have a monitor fly by your head at 200 miles an hour because something went wrong on a trade floor. But, you know, so I've sat on both sides of that table. I've, you know, I've built and run environments, but then I've also helped people through, my prior role and through NinjaOne as well, patch and get ahead of these problems. So what I'm sharing today isn't really theoretical. It's it's what I'm hearing in every conversation that I have right now. So what I'd like to do is just… Let's set the stage a little bit. So it only takes one, and there's two sides to that coin. The first side is the attacker. One attacker looking for one unpatched laptop to exploit one vulnerability to get into your environment, which that equals a a really one bad day, if not more. Right? So… And these these attackers are not just what they used to be. It used to be that these were cybercriminal gangs. You know, you had to have Bitcoin… You'd have Bitcoin and pay people to go and and that… That's how this was all done. Right? It was it was in the hands of the few. But now what we're seeing is with the advent of AI, of course, we're seeing AI inspired vulnerabilities, AI concocted, vulnerabilities. And what that's doing to us, it's creating a more pervasive threat that really we haven't been built as a team, to be able to handle. But on the other side… Right? So so the quick answer is just patch everything all the time. Right? Unfortunately, that's not really the right… Correct answer because on the other side of this, we have our businesses. For MSPs, it's our customers. It's our it's our lifeline. And for for our businesses, it's it's the executive community that could give us funding or not or potentially could cause us to lose our jobs or at least ruin our chances for promotion. So this is now starting to feel like two different jobs pulling in different directions. If you lean too hard into security and move very, very quickly, you could end up with a very unhappy customer or user base. But if you lean too heavy into experience and you become the blocker to security, you're potentially putting your CISO on the front page. So we are just one incident away from a really uncomfortable conversation with both of those audiences. And I I always say this. It's it's time that we're able to live in our own office instead of in the CISO's office explaining our problems away or in our customers' offices explaining why we we broke something because we went too fast. So, hopefully, today, we're gonna show you how to actually and realistically balance both. So let's go over, set the stage for our agenda. We're gonna talk about the problem and why it's different and why it's maybe a little bit bigger than you thought. We're gonna talk about what modern endpoint management is. There's a lot of lot of, I would say that term has been used for a long time, and I'm gonna put together a concrete definition of modern management. We're gonna identify three different shifts that you can take today to move a lot faster than we are today and with a lot more safety than we have today. And then I'm going to put it all together and show you what it actually looks like in practice. So if I'm successful today, I will be able to have you walk away with a clear, realistic path to strike that balance between security velocity and end user experience. So let's see a little bit about what we're up against. So this should be no surprise to anybody, but AI is the fastest growing cyber risk. There was a survey, by the by the World Economic Forum, in conjunction with Accenture that they surveyed 800 executives in 92 countries. And 87% of them said this is the fastest growing threat to them today. These aren't people that are vendors or or or, you know, just… These are these are people that have to worry about this every day. And this is what… They're they're telling you what they're worried about, and that's exactly what we wanna amplify as well because we we see this in a couple… In a in a, in a little bit. We'll talk about some of the volume, but this is a significant threat going forward. It's more than fraud and more than phishing and smishing and all the rest of the of the threats, which are still pervasive. They're still serious, threats. But if you if you look at AI inspired vulnerabilities… And what we're primarily talking about is hackers using AI to find and exploit vulnerabilities in a matter of minutes versus a matter of months. K. So we'll, we'll get into this a little bit more here in a minute. But… So this is very scary to a lot of people. And I I put this in the front because I wanna I wanna end… I want us to end in an optimistic tone. But what we saw was that first, when they projected originally before the AI, explosion, they projected 45,300 vulnerabilities for us, CVEs, published vulnerabilities. But in June, they had to revise that because of AI to 66,000. That's that's an addition of 46% from the original projection only four months prior. So when we look at 66,000, that's the… It might as well be 66,000,000. Right? Because when when you look at that number, what does that really mean? Not every one of those is exploitable. But in in bay… In the analysis so far, 7% of the twenty twenty six CVEs are real world exploitable. So 7% is a good number. Like, that's a little bit more comfortable. That's still 4,600 vulnerabilities that are able to be exploited in in the real world, not not using some kind of science or, you know, fake math. It's real. K? So 7% equal… Equaling about 4,600 vulnerabilities. That's what we're faced with, and that's just what we know about today. So it's obvious that when we have vulnerabilities, how does that impact us? Well, of course, we have the need to protect the device as well as remediate the vulnerability itself. So there's the mitigation and the remediation. And, both of those equal operational labor for us and, create a lot of, a lot of late nights, a lot of canceling, holidays, a lot of canceling weekends, etcetera. So what we're trying to get to at the at the end of this is you'll see an easy path go forward. So one more metric that is incredibly, revealing. So this is Project Glasswing. Okay? This is not the Project Glasswing. This is… Basically, this is an anthropic that gave their advanced models to software vendors to test their own software. But this is the open source part of that. The models they gave commercial software vendors are not… They generally don't get disclosed as far… What their findings were until they're confirmed. Right? They're not they're not gonna disclose everything. But the open source is kind of a peek behind the curtain about the the, vulnerabilities that have been, disclosed and, patched. So what we see is there's 26,000 findings. And of those, 19,000 are still pending, plus pending analysis. And in some cases, open source doesn't have clear owners because it's open source. But in some cases, there's there's just a matter of backlog, of security researchers trying to figure out is it real or not. So so far, 4,500 have been confirmed out of Project Glasswing open source program, but only 421 have been patched. So if you take that net math, 26,000 potential patches coming, but only 421 released so far. This is why we're hearing all this talk about the patch tsunami, the patchpocalypse, all the things that, are… You know, that made me grab some cool headlines. I posted a long time ago, maybe a year ago, I posted something on my LinkedIn about patchpocalypse, and it went viral. It was crazy how many people had been waiting for a term to describe this amazing, like, a volume of work that they're they're, they're seeing, and they are yet to see. So our takeaway here is really simple. The the discovery is the easiest part, and it is definitely way faster than remediation itself. The backlog is growing, not shrinking. And if you don't have a way to automatically patch and use more autonomous measures, you're going to inherit this. And what that will mean is a lot more scrambling, a lot more times where you have to just patch and hope. And that's potentially gonna be damaging to our careers and our and our businesses as well. So I debated even showing this because this is one of those, what am I supposed to do now moments. In 2018, the meantime to to, to the exploit, that means from the time that the vulnerability is disclosed to the time it is actually exploited in the wild, no one exploited, was sixty three days. And it decreased to thirty two in 2022 and to five in 2024. That's scary. It's negative seven now. Negative seven means that, effectively, when it's disclosed, it's already been… That's already been exploited. So the good news here… Let's be optimistic. A negative seven means that anybody's a target, and that that potentially means that everybody is a target. And it does, it does mean that you're gonna be the needle in the haystack that a hacker or attacker is going to find because they can't possibly attack everyone all at once. It's kind of like an identity theft where 40,000,000 records were stolen. You got a one in 40,000,000 chance that your data… You're gonna be actually impacted by that. It may sound terrible, but it's actually… It's just the law of numbers. Right? Negative seven doesn't mean we throw up our hands, though. That's why I debated even showing this. Right? Because the the natural question people may have is, well, why even bother? Well, the answer is this is… We have ways to get ahead of this and close that exposure gap. And remember, when you're out running a bear with a buddy, you just gotta be faster than your buddy. Okay? So that's that's the key here. The other thing that's the most important to our careers is that experience matters more than ever. Experience… If if you go back, to the pandemic days, we became known as heroes for providing an amazing experience in incredibly complex times. And… But that now is expected. A good employee experience from your services, either in corporate IT or or MSP exactly, a good experience can be the difference between renewal or promotion or potentially demotion or cancellation of services. So Garner had a prediction here, in in early June of this year, that says that through 2028, executives will replace more than half of the end user services leaders that failed to measurably improve the digital employee experience. That is… That that might be a little bold. And I I I know I would debate the half, but I would say it definitely matters. The pressure of just patch faster isn't isn't enough anymore. The pressure is now on us to patch faster and don't break anything because people are watching us. So that's the squeeze. So security is telling us to move faster. Your workforce is saying slow down. You're in the middle in the… In a swivel chair trying to balance both, but it's sometimes an impossible task. But what can we actually do to modernize patching? And there's three shifts here. And and the good news is this is not an unsolvable problem. This is a solvable problem. It doesn't come without work and change, which is hard, but this is a solvable problem. So setting the stage for what modern endpoint management looks like. There's been a lot of hype in the in the industry over the last five years around modern management. And and what modern management really ended up distilling down to was really light touch. And that's not what modern management should be. Modern management should, of course, be light touch, but it's an and conversation. So first thing you have to have is you have to have real time operations. I need to know that if I if I click a button to pass something, it's done. I don't need to wait for a polling interval or a check interval and hope, on the timing. I also need to have complete visibility. And complete visibility means I can see the device. I can see the stats on the device. I can see the crashes on the device. I can see the health of the device. I also have to be able to bring in devices that I don't know about and give visibility to those too so that discovery is included in visibility. So these are… You know, visibility is one of those things that I think is taken for granted. But the more data and context you have about what's happening when you patch, the better you can either stop to avoid the impact or, game changer, move faster because you saw no impact. Right? Intelligent automation. The the term for intelligent automation means that it's not just happy path. Hope everything works. Let it let it loose. Right? We have to have automation that can keep up with, any condition the data may throw at it. It needs to it needs to be transparent till we know what's going on, logged somewhere. And, just to be honest, this is one of the hardest things, because we are all scripters, and I think a lot of us wrote scripts that probably don't work anymore. But the new intelligent automation provides some fail safe. Cloud native is key. We have to be able to patch a device no matter where it is. I mean, are we seeing today all the people that are joining from everywhere in the world? That's, that's what that's our workforce now. You know, they may go into the office once in a while, but those patch optimized processes for the on premise office, you need those and. Right? You can't just rely on those anymore. So you need those and a cloud native scalable model and enterprise scale. So the one thing I'll I'll warn you on, there's a lot of tools out there. Very few have enterprise true scale. And what that means is when you put a lot of devices in the in the platform, that they still perform as if they had only a couple. Lot of lot of, systems out there today are being vibe coded. A lot of platforms of, endpoint management tools are being rapidly developed with, with AI. And the question is, will they will they scale? And if that's a question you're asking and you can't say yes, I wouldn't trust it. So these these, capabilities drive outcomes in the business and things like business agility, faster faster mitigation of risks, increasing our user experience, or potentially maybe keeping it the same when we make a change. They reduce operational labor. All of this gives us the ability to move faster without adding headcount and without disrupting our employees. So shift one is really about, you know, we'll talk about it in a moment, but it's it's… It it… That that… This… The next shift is really about the vulnerability detection and how we actually can have tools that we should have had forever. But these core endpoints, these core, framework elements are are kind of gonna be pervasive in all the rest of the conversation. So our first shift, real time vulnerability detection and then for IT ops. Our security teams today have vulnerability detection tools. Now where I've been in my career, I never had access to those tools. It was like Garden Secrets because, basically, it is, you know, it is sensitive data, right, if you can find the the attack path for the environment. But if you look at what we should have, we should have tools that detect vulnerabilities quickly and give us the ability to patch them fast. Because if there's a patch available, we can move forward. So in the current model we all live in today, most of us live in, SecOps runs those periodic scans, and they are disruptive. Usually, it creates some kind of, issue on a network or on on the device itself. The, the data is not always shared. I'll I'll share… I'll disclose a little too much. In my career, it was shared as a weapon to my senior leader from the other senior leader coming back down to punish me about why I had 1,200,000 vulnerabilities in the environment. And the answer was, if I'd have known, I wouldn't have. Like, give me the data. Give me a chance. And so that's why this is so important. The remediation, we look at change windows and scans. I mean, if you're if you're, only patching on a Tuesday evening or worst case scenario, Saturday night because that's when you do all your rest of your IT changes, it's time to reevaluate that. And… But the result is IT ops is always one step behind security operations, and we're always feeling like we're the problem. In the new world, we share the discovery responsibility of vulnerabilities. Now that doesn't mean we own it. Certainly not. Right? Vulnerability management is a practice, but we should have tools to help us contribute to this solution here. The vulnerabilities are identified in real time, and security operations then validates what you're doing. They don't gate what you're doing. And in that way, you're one step ahead of security operations. So this is something that the market is shifting to. There are tools out there today, you know, and, NinjaOne is one of those tools that have this this kind of capability now. And I I would say that should be heavily weighted in your road map if you're looking to purchase a new tool Just because the data it gives you lets you take action quickly. Alright. So let's talk about our second shift. This is my favorite one, honestly. In the old world, typical model, we identify the patch. We package the tool. We package up the, the application. We test it. But let's be honest. We test it to make sure it works, not to make sure it doesn't break. It's different. And then we deploy it to our test groups, and we wait for sign off, which is usually just a rubber stamp. And we don't even know they test it, to be honest. And then we move to wide scale deployment, and our only signal of failure is the help desk call. And the help desk is a terrible signal. 20 of people call the help desk. The other 80% silently suffer until they're in front of some executive or customer, and then they blow up and you're on defense and you didn't even know it was a problem. So this is a very broken model where we were hoping for success. We can't rest our career and our reputations and our revenue on hope. In the modern world, in the modern model, the patch is identified by… The the need is identified by real time scanning. The patch is provided by the platform with a stability assessment built into it. Let's face it. The Internet knows when patches are falling falling flat. So why do your tools not know that? This is this is a game changer. So if it's stable, yes. Move it forward to your test group and continue rolling through. Now we also have real time monitoring so that we can tell that that patch is causing a big problem in the environment or not. Like I said, if it's not, move faster. If it is, stop and protect your employee experience. So the ability to monitor the the stability of patches but operationalize that and not just rely on your own research because we… I don't… I'm not gonna… No one here has time for 4,500 CVEs to research everyone. That's the next game changer. And so from NinjaOne, we have the… An example from our Patch Intelligence AI product. And if you look at the the the callouts here, basically, you're getting complete patch details, which you would have to Google before. You're getting exactly what the… What it fixes and what the, the the the details of it are. You're also getting the issues and bugs and instability. So, like, people reporting actual problems, chatter. You're getting real time issues. And then user sentiment as well, about whether it's something you should just put in put in quickly or real time user feedback. It's… All of this combined will automatically… Like, let's say, for instance, we come across a patch, and we have one just a couple weeks ago or maybe a month ago, with a Microsoft product where it causes an actual outage. Our system will pull it back and and take it from an automatic deployment to a you must approve it deployment automatically. So you're automatically protected. So that's really critical. Protecting your environment. A lot of a lot of, people, a lot of vendors, a lot of software platforms will use AI to automate, to make your product easier. But but I see this as using AI to make our product more protective of user experience and ultimately more protective of your career and reputation. So this protects you from bad patches. Our next shift protects you from a different problem, the one that that shows up when you think everything is fine. And we talked a little bit about it in the in the prior conversation, but operational digital employee experience, OpDecks. Now you're probably familiar with Decks as a market. Companies like NextBank and Lakeside, they're great tools. Right? But that for… In an operation standpoint still creates a swivel chair. We still have to look at the data and see how it's doing and then go back to our operations tool and figure out how to move forward. When we have device telemetry, including CPU, memory, disk, FOS crash updates, all those things, and it's continually collected, you know, for instance, our platform collects it every fifty five seconds, it will enable us better decisions to either move faster or slow down and stop altogether. So this has to be real, and we cannot have, reliance on help desk calls or escalations. Now, sure, if you're in a small environment, you're probably gonna get the social network kick in before help desk. But a larger organization… And and, honestly, I wouldn't risk it even in a small organization. You need real time data in order to make real time decisions. So showing you an example from what we provide in the NinjaOne platform, on on the left hand side, you you see devices with health issues. You see some warnings. You have a device health summary, and all of these are diveable, so you can look and see exactly what the, the the challenges are. On a devices view, you you you see all the different, like the devices offline. You see all the different kind of statuses that could have a problem, with with patching. And that's the the the next question you should ask anybody that makes a claim of real time is, well, okay, how how badly are you destroying the CPU? And are we gonna have memory problems? And the answer here is no. No performance impact. You cannot have a management tool in this day and age that creates performance problems themselves. So if, if if you look for a tool, ask them what their polling interval is. And then the second piece is really get down into what the impact is. And there's a lot of claims of no impact. Validate yourself, and I would I would trust you would do that. So, you know, the the main thing is I I'm I'm not dwelling on this because it's our product. K? First off, I'm showing you because it's proof that the three shifts are possible today, not a hope, right, and something you have to wait on. Continuous, lightweight, real time telemetry is the bar right now to hold any tooling to. So with those three shifts, let's put them together and look at the impact of those shifts together cumulatively. So today, we look at this gap. And the difference… The the the delta between patch and and the vulnerability is, of course, your exposure gap. And the quicker you can react and the quicker you can, the… With the most velocity and roll it out, this will have significant impacts on your actual exposure gap. And this might be a new metric to report on versus, how many how many vulnerabilities in your environment. What is your mean time to remediation? And how long do you have? I mean, that that that metric could be a, an outcome driven metric for the business to show your personal impact on either your customers or the enterprise itself. So when you have these three shifts in play, what you see is you can move much much more quickly. You, can remediate a lot faster. And if we all collectively do this, then the attacks go down because there's nothing to attack anymore. Now, again, running faster than your buddy when you're being chased by a bear is really your goal right now. But if we're all running fast, then eventually these attacks become fruitless. And I'm not gonna say hackers will go away. They won't. But they'll be a lot less likely to be able to exploit and repeat their patterns because they're already been blocked. So that's the model. K? Detect it in real time. Deploy only what's proven stable. Keep watching the data after the fact. It's three shifts, one continuous loop instead of three disconnected teams working off three different clocks and three different processes. And so before I close, I just wanna leave you with one more thing that, that we believe was something that was significant. This is the magic quadrant for endpoint management tools. K? And there are a lot of players. But if you if you look at NinjaOne in our placement, we believe this reflects our commitment to simplifying endpoint management and our commitment to automation, visibility, and secure operations. Yes. We use AI, but we don't lead with AI. We lead with outcomes, and that is a really important thing. There's a lot of AI washing out there today. People have a lot of thoughts on what AI is and isn't. And, honestly, sometimes it's not even AI that they're talking about. They're talking about machine learning, which is a a rudimentary form of AI. So AI where it matters, outcomes first, technology second. And with that, I just wanted to say thank you so much for attending today. And, I hope that, your your next few weeks, we can put some of these some of these, practices into motion with you. And, just wanna say thanks again. I appreciate your time. I respect the fact that you had to take time out of your day, and the patch tsunami is coming. So thank you again. Alright. And thank you, Tom. Yes. The patch tsunami is coming. So everyone, be aware, be attentive, make sure you are preparing so that you don't get caught up in the tide. And with that, I'm gonna let you both go. Tom, Mark, thank you so much. It's been a pleasure listening in on this. For all of you out in the audience, I hope you learned as much as I did here. And we are going to quickly throw up a survey and cover a few last things before we let you go. So if you look to the upper right hand side of your console, you're gonna see that survey popping up. That's just here from us at Actual Tech, getting a bit of a a pulse check, hot feedback of what you thought about the webinar. The content, did it meet your needs and expectations, the bells and whistles of the platform, so we can spot potentially some room for improvement. So we appreciate that if you don't mind. It takes maybe thirty seconds. Aside from that, I do wanna remind you all the slides from this session are in that docs tab. So if you wanna grab those, download them now because we're gonna close out right away here. And then finally, I mentioned at the onset, we have a 250 Amazon gift card up for grabs. And without further ado, our lucky winner is Chris Sears from Arizona. So, Chris, congratulations. We're gonna reach out by email right after this and let you know how you can claim that prize, and we'll get it sent right over to you there. And with that, everyone, I think we've about covered it. So I just wanna give a quick round of thanks to everybody. So thanks obviously to Ninja One for making today possible. Thanks to our speakers for being here, sharing their expertise with us. I think it was just fantastic. And biggest thanks, as Tom mentioned, goes out to all of you. I know you have busy schedules, lots to do, lots of people vying for your attention. So, hopefully, this was super valuable to you. We really do appreciate it. We love the community here learning together. So thanks for taking the time. We hope to see you on another webinar again soon. And if you do wanna check out our full calendar, you can go to events.actualtechmedia.com, or you can check out the QR code up on the screen. But until our next webinar here again together, I'm wishing you all an absolutely fantastic rest of your days. Take care all.

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