Optimizing Security Operations with AI-Driven Solutions

Summary

• AI can significantly enhance physical security measures, including through real-time video analytics and customized response features.
• Agentic security enhances threat detection, improves response times, and optimizes resource allocation.
• To get the most out of implementing AI-driven solutions, consider your current security setup, the AI tools that would have the biggest impact for your company, and continuously monitor and evaluate performance.

“Today’s AI is the worst it will ever be.”

This twisted-but-true phrase doesn’t mean that AI isn’t any good—far from it—but instead highlights the fact that artificial intelligence will only continue to improve. Even at this early stage in the game, AI is making processes across the board more efficient and effective, and the security industry is no exception.

AI is the next big jump up in the evolution of security, and its leap will be unparalleled.  AI options can make your security faster, smarter, and safer, and we’ve only just scratched the surface of this revolution. 

Read on to learn more about your options for AI in physical security, how it can optimize your security strategies, and how to go about integrating it into your security operations.

AI in Physical Security

While it might be easy to assume that AI applications in security are mostly in the cyber realm, it’s far from the truth. AI (agentic AI, in particular) is quickly becoming a necessary component of cybersecurity, but the application potential in physical security is just as strong.

Application uses for AI in physical security include—but are certainly not limited to—the following:

• Real-time video analysis: Humans can only watch a fraction of security feeds at once (and can’t keep that up forever). AI can watch 100% of your security feeds indefinitely, performing real-time analysis to identify threats and alert the appropriate parties.
• Custom loudspeaker messages: Agentic AI can generate loudspeaker messages to speak directly to intruders. While preprogrammed loudspeaker messages have been around for a while, agentic security takes this to an entirely new level with situation-specific messages that sound like they came from a person. (Example: “You in the blue shirt: [That specific activity] is not allowed here. Leave immediately.”)
• Smart spotlights: Taken a step further than motion-triggered floodlights, smart spotlights specifically light up just the area the intruder is in, scaring them off as it lets them know that their wrongdoing is being actively watched. 
• Forensic search features: Collecting relevant video footage after an incident is a job that traditionally took hours of manually combing through camera feeds. With AI-enabled search features, what once took hours now takes only minutes. It just takes a few keywords (like “red hat” or “person wearing gray sweatshirt”) to pull up relevant video clips in no time.
• Advanced access control measures: AI has the potential to significantly level up access control measures through tools like facial recognition surveillance in restricted areas.
• Strategic planning: AI-powered analysis could allow you to examine big-picture trends and security risks. One of AI’s biggest strengths is its ability to recognize and track patterns over large spans of time, giving you a more complete picture of risks and regular behaviors. This more complete understanding allows you to form insightful strategies to combat potential risks before they become real-life problems.

While many forms of AI can be used in security measures, agentic AI is of particular value in the security field. Agentic AI security can find security threats (sometimes before they’ve even occurred), come up with situation-specific responses, and put those responses into motion. (The implementation step is what really sets agentic security apart.)

How AI can Optimize Security Operations

AI can help you and your team optimize your security strategies in a number of ways, with benefits of these autonomous systems ranging anywhere from dramatically improving response times to eliminating mundane, time-consuming tasks. 

Enhanced Threat Detection and Predictive Analytics

One of AI’s biggest strengths is in pattern recognition; it can study activity and identify normal behaviors and abnormal behaviors. It also identifies what wrongdoers do in the time leading up to a crime (including behaviors like loitering), so it can flag these behaviors going forward.

Because it uses vast quantities of data to learn from, AI can use historical data to predict the outcomes of different scenarios. These predictive capabilities shift monitoring from reactive to proactive, as they let security personnel intercept problem situations before they escalate.

AI-powered threat detection is a step up from even advanced detection systems because it is constantly learning and evaluating. 

Improved Response Times and Reduced Alert Fatigue

Agentic AI, which combines several AI technologies, not only detects threats but also automatically implements situation-specific responses. This automatic response dramatically improves reaction times, mitigating and deterring crimes in record time.

While human security personnel receive alerts for potential problems, AI’s advanced capabilities significantly reduce the number of false alarms that make it through. This smart filter reduces alert fatigue, decreasing the chances of alerts going ignored because of the sheer volume of them.

Optimized Resource Allocation

AI-powered analysis can help you understand where potential weak points are in your security setup, allowing you to directly address them before they become issues. It also has the potential to identify big-picture trends and patterns so you know where to focus your efforts or what could be adjusted to change the status quo.

In addition, AI can take over mundane, time-consuming tasks. Things like forensic search features for video save hours and hours of monotonous work, allowing the human side of the team to work that much more efficiently and effectively. 

AI doesn’t—and won’t—fully replace the human element of the team. Yes, there are definitely capabilities AI has that humans will never have (such as never-ending focus and processing on all data at all times), but the same is true in reverse: humans will always need to be part of the equation. By working together, people and AI can create security that is stronger than ever before.

Implementing AI-Driven Solutions

1. Assess your current security tools and needs.

It’s hard to know how to most effectively strengthen your security if you don’t know exactly what you’re working with in the first place. Take careful stock of your current security tools and systems; then consider where you might be falling short and where you could improve. 

2. Think about your goals with AI implementation.

AI has so many possibilities and applications, but not every one of those will be a perfect fit for every business. After you’ve assessed your current security situation, think through your goals with AI implementation. Where could the technology help you most? What weak points could it strengthen? Where could it save you the most time and energy?

3. Consider your options.

When thinking through your options with agentic security and other AI-driven tools, remember that you need to consider more than just the features themselves. Consider how compatible tools will be with your current security setup and how easy integration will (or will not) be. 

If you have the time, money, and talent available for it, you could consider creating your own custom AI (though this is a costly and time-intensive process). If you’d rather not start from the ground up, you could bring in AI from an outside source to add to your current setup. You could also bring in security tools with the AI already built in to the system. LVT’s mobile security units, for example, have no infrastructure requirements, are often easy to integrate with existing systems, and come with AI options already available.

One more major consideration with AI is the potential issues with bias and privacy. Regardless of whether you build your AI or source it from another company, it’s important to ensure the data the AI is trained on isn’t biased against certain people and carefully protects individual privacy. One way LVT® has solved this potential problem is by having the agentic security focus on actions instead of identities.

4. Start with AI tools that will have an immediate positive impact.

Not all AI-driven tools are created equally. Invest in those that will have the biggest positive impact in your situation so you can see immediate benefits. 

5. Train your team.

AI tools are significantly stronger when paired with people who know how to use and maintain them. Get the most out of your investment by investing the time in ensuring relevant personnel are up to speed on all new capabilities.

6. Continuously monitor and evaluate.

While agentic AI can implement responses on its own, it’s not set-it-and-forget-it tech. Instead, it’s better to treat it more like an employee who needs regular check-ins and guidance to make sure it’s making the right calls and performing optimally. 

‍Interested in an easy-to-implement agentic security solution? LiveView Technologies® is now offering AI capabilities in conjunction with the LVT mobile security unit. New features include AI audio talkdown, smart spotlights, and forensic search. Contact the LVT team for more information today.