How Artificial Intelligence Is Shaping Security

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Artificial Intelligence (AI) is unique in that the more it is used, the 'smarter' it becomes, so you'll get increasingly better results each time. It's fascinating to see how its changing up the industry.

Guest OpEd by George J. Newton  

As technology advances, we see security changing along with it. Artificial intelligence (AI), is becoming more widespread, meaning that more industries can take advantage of it.

That’s especially true of security, that’s seeing more and more changes thanks to AI.

How is it changing the way security works?

AI vs. Video Analytics

To the untrained eye, they may think that AI is the same as Video Analytics, or VA.

The terms do tend to be used interchangeably. However, they aren’t the same thing at all, and it’s important to understand where the difference lies.

‘VA has been in use for years, long before AI was at a point where it could be used in security’ says tech blogger Leland Briggs, from Write My X and 1 Day 2 Write.

With AI, the more data it has collected (from video feeds, including historical data as well as other sources), the more accurate it can be.
With Artificial Intelligence (AI), the more data it has collected (from video feeds, including historical data as well as other sources), the more accurate it can be.

‘VA is where video from many different vantage points is collected and analyzed by humans, along with imaging software to pick up what humans can’t see.’

There’s no denying this is sophisticated tech, but it still isn’t AI.

Instead, to be considered AI, the software needs to be able to detect patterns from the data it collects. This helps improve regular VA, so human analysts can get better data from the video they collect.

For example, AI will be able to identify how a dog walker moves as opposed to a regular commuter. Because it has that data, it can still pick out a dog walker even if bad weather hinders the visual on-screen.

An AI will need not only data collected from video feeds but historical data from other sources as well.

The more data it has, the more accurate it can be.

(How Do We Analyze Video with AI? Find out here. Courtesy of Matthew Renze and YouTube.)

Using Facial Recognition in Security AI 

Facial recognition is likely something you’ve heard of when it comes to security AI.

This tech allows security teams to monitor people for various things, such as looking for people on watch lists and to verify peoples’ identities.

This is already in use in some security settings, allowing them to keep areas more secure.

Like other types of AI, it is more effective the more information and data that it has.

It’s worth noting that the current pandemic, and the act of wearing a face mask, has hindered AI learning as peoples’ faces haven’t been scannable by AI programs.

Machine Learning And Security

What is machine learning in AI?

When it comes to security, Machine Learning (ML) a highly helpful tool, allowing AI to distinguish between normal and suspicious behaviors.

It’s essentially a way to allow the tech to learn as it takes in data, and alter its algorithms the more it takes in.

When it comes to security, it’s a highly helpful tool, as it allows the AI to distinguish normal and suspicious behaviors.

‘For example, take security feeds in a grocery store’ says AI writer Roseanna Dodd, from Origin Writings and Brit Student.

‘The AI can use machine learning to differentiate between a regular shopper and someone who’s a shoplifting risk.’

Using Deep Learning In AI Security

Deep learning is a subset of machine learning, and also offers a lot of advantages when it comes to security.

Deep learning is where an AI is given exposure to a huge amount of data. As with machine learning, the more it sees the more sophisticated it becomes.

In terms of security, this can be used in several ways. For example, deep learning can show security AI the difference between cars, animals, people, and static objects to help improve AI-driven VA.

Predictive Intelligence

Finally, there’s predictive intelligence. Essentially, it’s used as a means of analyzing patterns and stopping incidents before they occur.

For example, airport security are already analyzing social media feeds of passengers to spot potential risks before they enter the airport.

(Learn how Predictive Intelligence enables you to leverage in-platform machine learning to empower features and capabilities across ServiceNow applications to provide a better work experience. Courtesy of ServiceNow – Now Community and YouTube.)

AI is used in this manner to aid predictive intelligence. It uses other data streams with social media data, to offer a more nuanced analysis.

It also streamlines the process, making it much quicker than human-driven analysis alone.

As you can see, there are all kinds of ways that AI is being used in the security sector right now. The more it’s used, the more useful it becomes.

AI is unique as it learns more the more it is used, so you’ll get better and better results each time. It’s fascinating to see how it’s changing up the industry.

About the Author

George J. Newton
George J. Newton

George J. Newton is a business development manager, working with Write my thesis and Dissertation writing service.

He has been married for 10 years, and in his spare time enjoys holidaying with his family. He’s also a writer for Next Coursework.

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