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Motorola Solutions is Mobilizing AI in Security with an Ecosystem Approach to End-to-End Solutions

Connected AI tools work best when human oversight remains central to security operations and decision-making

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By Donald Cornett · AiAutomationDonald CornettGsx
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Key takeaways

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Connected AI tools work best when human oversight remains central to security operations and decision-making

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The evolution of mobilizing AI as a foundational technology for computation, operations and business strategy is rapidly reshaping the security landscape, offering unparalleled opportunities for proactive rather than reactive measures. AI's growing capability to gather and contextualize information, combined with automation, promises timely alerts and swift responses. Still, the integration of AI in areas such as school security and healthcare still comes with skepticism and risk, meaning human intervention is very much still needed to inspire trust and make the most of AI-supported solutions.

For instance, an AI detection can have its flaws, such as detecting something dangerous that is actually harmless or inconsequential. Motorola Solutions is working to stand out in this domain by offering solutions that specifically integrate AI and human management to specifically avoid false flag detections. This approach ensures not just swift responses but also accuracy in mission critical situations. Donald Cornett, Director of Global Product Management for Ecosystem Solutions at Motorola Solutions, articulated just how this synergy works, and the need for constant evolution in security strategies. At GSX 2023, Cornett headed two learning sessions, one of which explored mobilizing AI and automation for the security industry.

This approach ensures not just swift responses but also accuracy in mission critical situations.

Cornett's Thoughts Mobilizing AI

Evolution and Impact of AI

"As the AI starts to really evolve or starts to get, you know, grow, or the neural net start to learn more and more,"

"Taking that information, making it contextual and relevant, driving it into automation, and then leveraging a broader ecosystem of all the components, whether it be sensors, access control, video, radio, incident management, and actually taking relevant information and driving it to the people that need to know in a timely fashion."

"In leveraging the AI that's in the field as it starts to explode today, taking that input, automating it, and driving it into a broader ecosystem where now we are able to share or pluck out either sensors or video or analytics, share that information with the first responders or your SROs or around schools, to getting that information in near real time for them to react, adjudicate what needs to happen within minutes."

Real-World AI Applications in Security

"For like a school, a very popular use case is breached doors that are out there, or open doors, doors that are left open all the time."

"In healthcare, we have a no, protecting the staff where you have the ability to say, somebody may have a restraining order, right?"

"Now you're addressing it outside the four walls and actually in the parking lot and trying to be very much proactive than a reactive situation."

Challenges and Limitations of AI

"Where I see some of the failures or the breakdowns of it is you're going to get some of the falsing where you may actually send resources where you don't need it."

"You just don't want to automate completely everything like full school lockdown because somebody may have drawn a umbrella, not a firearm."

"You can allow the AI itself to present that information to the human and the human themselves can actually adjudicate and change the behavior of it."

"So that's where we kind of see some of the breakdowns that you can't just let AI do all of it straight through."

"You're actually having to inject some of the human nature back in there for that adjudication, for that verification."

You're actually having to inject some of the human nature back in there for that adjudication, for that verification.
— Donald Cornett, Director of Global Product Management for Ecosystem Solutions at Motorola Solutions

Motorola Solutions' Comprehensive Ecosystem

"With Motorola Solutions, we're one of the only ones in the industry today that have a full end-to-end solution that we believe from an ecosystem point of view and from an incident point of view."

"And all of that entire ecosystem can be brought to bear to the incident itself, tying that information together with the appropriate human in the middle, as I kind of talked about a little bit."

Video TranscriptExpand ↓

As the AI starts to really evolve or starts to get, you know, grow or the neural net start to learn more and more, taking that information, making it contextual and relevant, driving it into automation, and then leveraging a broader ecosystem of all the components, whether it be sensors, access video, radio, incident management, and actually taking relevant information and driving it to the people that need to know in the timely session. The first session that we did was maximizing, resources And the second session that we ended up doing was taking a an environment from a reactive to a proactive situation in leveraging the AI that's in the field it starts to explode today, taking that input, automating it, and driving it into a a broader ecosystem, where now we are able to share or pluck out either in sensors or video or analytics, share that information with the first responders or your SROs around schools to getting information in near real time for them to react and adjudicate what needs to happen within minutes. And so those were the kind of the key takesaways as the starts to really evolve or starts to get, you know, grow or if the neural net starts to learn more and more, taking that information, making it contextual, and relevant, driving it into automation and then leveraging a broader ecosystem of all the components, whether it be sensors, access control, video, radio incident management and actually taking relevant information and driving it to the people that need to know in the timely fashion. On incident for security today, right? So let's take a couple examples. For like a school, a very popular use case is breach doors that are out there or open door doors that are left open all the time. They may go unnoticed until the security guard itself walks around and sees that door. So we can now take just a very simple AI or the intelligence of that door and feed it into automation. So when that door is left open, it gets to those security, or maybe you have a Bolo, a Beyond lookout. In health care, we have a no protecting the staff where you have the ability to say, somebody may have a restraining order. Right? Well, they'll put that picture or that image within the system or a license plate. It could be either one, and then using cameras or eye at the edge, be able to detect that in the parking lot, giving that information through automation and through the ecosystem, where now you actually give it to the officers or the SROs or the security detail saying, oh, be on the lookout. This is the person that you need to send them the video instead of that person getting in your four walls to the nursing station. Now you're addressing it outside the four walls and actually in the parking lot and trying to be very much proactive than a reactive situation. Where I see some of the failures or the breakdowns of it is you're gonna get some of the faulty where you may actually send resources where you don't need it. Some of the things that like firearm detection. Right? That's a very good one. You just don't wanna automate completely everything, like full school lockdown because somebody may have drawn a umbrella, not a firearm. And so having a human in the middle or having that verification of that human is instrumental in a lot of the AIs. You can allow the AI itself to present that information to the human, and the human themselves can actually adjudicate and change the behavior of once they verify or know that that's there, everything downstream can be automated because they verified that stuff. So that's where we kinda see some of the breakdowns that you can't just let AI do all of it straight through. You're actually having to inject some of the human nature back in there for that adjudicate for that verification. With Motorola Solutions, whether one of the only ones in the industry today that have a full end to end solution that we believe from an ecosystem point of view And from an incident point of view, not only do we have cameras, access control sensors, but we also have incident management software with our rave acquisition with a panic notifications, emergencies on our radios, our wave pieces for interaction within those operating systems. And all of that entire ecosystem can be brought to bear to the incident itself tying that information together with the appropriate human in the middle as I kinda talked about a little bit. But now bringing that entire ecosystem from Motorola. We're the only one in the industry that I know that we have something like that.

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About the author

Donald Cornett
Donald CornettDirector of Ecosystems Solutions Product Management

Donald Cornett is a seasoned professional with a proven ability to effectively merge customer and business needs with tactical execution to enhance long-term gains, performance, and profitability. He boasts a breadth of experience in consistently improving cost management, productivity, and delivery goals year over year. Donald is skilled at consensus building, crisis management, problem-solving, and negotiating. His leadership philosophy prioritizes results and encourages cross-functional participation in creative problem-solving, ultimately contributing to organizational success.

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About the Expert

Donald Cornett
Donald Cornett

Director of Ecosystems Solutions Product Management

Donald Cornett is a seasoned professional with a proven ability to effectively merge customer and business needs with tactical execution to enhance long-term gains, performance, and profitability. He boasts a breadth of experience in consistently improving cost management, productivity, and delivery goals year over year. Donald is skilled at consensus building, crisis management, problem-solving, and negotiating. His leadership philosophy prioritizes results and encourages cross-functional participation in creative problem-solving, ultimately contributing to organizational success.

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