Wit Jakuczun,

AI for Security: Enhancing Threat Detection and Response

Discover how AI for security enhances physical safety and optimizes security operations with advanced technologies. Elevate your protection strategies and strengthen defenses by leveraging the power of artificial intelligence.

Discover how AI for security enhances physical safety and optimizes security operations with advanced technologies. Elevate your protection strategies and strengthen defenses by leveraging the power of artificial intelligence.

It’s difficult to scan the news these days without seeing yet another report of a corporate security breach. In contrast, though, you may not read as many reports about actual attacks on a company’s physical assets, such as by organized gangs of thieves or shoplifters engaged in crimes of opportunity.

Of course, Physical attacks involving actual penetration of a building are just as bad for a company’s bottom line as online attackers seeking access to sensitive data and intellectual property.

Today, we’re focusing on physical security, namely security guards and the video cameras they rely on to mount strong responses to potential crimes.

AI for Security (Physical)

It’s no wonder that we receive security inquiries from principals at worried companies regularly. Customers who are responsible for the daily operations of major enterprises worry that they aren’t doing enough in terms of shoring up their private security.

They turn to us because as a significant entity in the field of machine learning and artificial intelligence, F33 has years of experience in guiding enterprises through the intricate landscape of software deployment, and this includes all aspects of security.

Whether you run a private security firm or work at a company that needs enhanced security, you should anticipate that AI will play a significant role.

Here is some perspective on using AI for security to give you and your team ideas about deploying customized artificial intelligence for added safety in your enterprise.

AI for Security Company Improvements

AI for Security Company Improvements

Adding artificial intelligence can help security companies improve how they operate. The benefit is not just from essential image recognition to identify who someone is, just based on a scan of their face.

For example, when you use AI to examine video feeds from surveillance cameras, the system isn’t just looking at a database to see if it has eyes locked on a serial shoplifter.

As Security Magazine noted, “the security benefits from smart video surveillance systems come from identifying specific behavior patterns, not faces.” In retail settings, you use AI and machine learning to plow through a huge amount of video footage, looking for common patterns. This helps the system identify suspicious or abnormal behavior.

It cited an example of how ordinarily, a customer will pick a single expensive item from a shelf, not multiple ones, and then proceed to the checkout register walking at a moderate pace.

But gait recognition to see how fast a shopper is walking and keeping track of what items the shopper selected, the machine learning system might point this person out for additional scrutiny by a human security guard in the store.

On the other hand, consider a shopper who is wandering around or making abrupt movements. An AI system, based on stored patterns it analyzes, could determine that the person is not a potential shoplifter, vandal or other criminal. In actuality, signs indicate the system has just spotted a frustrated customer who can’t find an item or a store employee to assist.

Machine learning that studies multiple incidents like this then prompts the system to tell a human security guard that a shopper needs assistance. A lot of time is saved, and the store may see a boost in customer loyalty when they feel looked after like this.

Scheduling Personnel More Efficiently

AI for Security: Enhancing Threat Detection and Response

Keeping track of who is supposed to show up for duty on security guard patrols is a labor-intensive process, especially when using conventional software. Artificial intelligence embedded in scheduling software is a good entry point into AI for security companies since it’s a basic task that sucks time while being easily automated.

With a cloud-computing platform, a security guard company can communicate more readily with its guards and the organizations they protect. As noted by Thinkcurity, artificial intelligence tools examining data, such as from surveillance cameras, help free up human guards so they can spend more time on actual patrolling and helping people.

No longer consumed with paperwork to be filled out about each task during their shift, the security forces enjoy improved morale because they use their skills to their full potential.

Case of the Jewel Changi Airport

The Jewel Changi Airport in Singapore is a massive facility that comprises the airport itself plus an enclosed natural environment (complete with an indoor waterfall), a shopping mall, and a hotel. Costing $1.25 billion, Jewel Changi opened in April 2019. The luxurious facilities call for advanced, robust security measures, which are especially needed, given the large amount of foot traffic it sees daily.

Jewel Changi is entirely covered by a clear glass dome, standing out in the Singapore landscape. It’s so captivating the airport continues drawing curious locals as well as international visitors, to the tune of 50 million people passing through the facility during its first 6 months.

Being such an appealing destination for strangers from all over the globe, security needs to be comprehensive and on full alert. To that end, security firm Certis (a private company that started in 1958 as a unit in the Singapore police force) was tasked to come up with a solution. According to Forbes, Certis devised a system that employs over 5,000 security cameras and sensors, all connected to a central Smart Operations Center to consolidate all incoming data feeds.

It’s here that the system relies on a platform called MOZART, which includes “AI capabilities for analyzing video and other sensor inputs to identify situations requiring operator follow-up.”

Before installing the AI system, Certis security executive Ju Yuong Pang spent a large part of his day doing such routine tasks as figuring out the ideal routes for his security officers to patrol, creating their worksheets and then briefing them before the start of their shifts. But with MOZART’s AI capabilities, Pang now automates the bulk of these tasks.

Security guards now save time, not needing to gather for a meeting just to get their work assignments and briefings. And the fact that an AI-fueled robot named PETER is now on the force too, pulling duty in the parking lot, means human security guards no longer have to endure the fierce heat outside to deal with parking violations.

The entire system works more efficiently thanks to AI handling work that’s easily automated. It leaves higher level security work to the humans on patrol.

Beefing Up Organization’s Security With Artificial Intelligence

When it comes to the safety and security of your organization, intellectual property, employees, customers and other people, you want the most robust security in place.

Accordingly, many organizations are working to shore up their vulnerabilities using artificial intelligence. Whether you are arranging security for your enterprise or run a company offering security services to enterprises, it’s a near certainty that artificial intelligence will play an increasingly larger role, going forward.

If you have limited experience with A.I., you can save time and effort in using it to enhance security by partnering with artificial intelligence experts, like the professionals at F33. Contact us today to have a discussion.

Behind F33
Greg Bigos, CEO

Greg Bigos is the CEO of F33, bringing over decades of experience in delivering ERP solutions for manufacturing, logistics, and retail industries.



Contact Greg
Behind F33
Wit Jakuczun, CTO

Wit Jakuczun is the CTO/Chief Data Science Officer at F33 with a PhD in Applied Mathematics and over 18 years of experience in mathematical modeling, data analysis, and simulations.

Contact Wit

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