Artificial intelligence (AI) is becoming more common than you might imagine. Many of the leading technologies in society are driven by AI technology, as their automated functions streamline processes and help people do more with less time.

Now AI is integrated into commercial security systems and began to revolutionize technology. Modern security systems with AI technology can help security teams better detect threats and provide faster responses to protect your business more effectively.

Businesses can use artificial intelligence to allow security operators to analyze data more efficiently and streamline operations, allowing teams to adjust their focus to more critical issues and better detect anomalies when they occur.

Overall, AI enables your security teams to provide better and faster response to threats, strengthening your security systems for your company’s security.

Use data to adopt and automate learned behaviors

One case of using AI is to use its training capabilities to automate responses. AI can be used to evaluate data models over time and to learn from it. By formulating automated responses, AI streamlines the necessary processes, allowing security teams to focus on the most critical issues.

In many cases, AI enables users to perform the required tasks more efficiently while maintaining the data security and organizational standards needed for optimal operations.

In converging physical and cybersecurity systems, AI technology is useful for analyzing combined data streams.

Learned behaviors can make managing the millions of data points coming from an enterprise network of systems more streamlined by helping security teams identify areas of concern with automated alerts, as well as facilitating effective audits of security trends over time. .

For example, if your security team repeatedly rejects a specific signal about theirs video security system, over time, a model will be formed that AI technology will recognize. It can trigger an automatic response to reject this signal, reducing the number of unnecessary signals.

AI interprets data and uses it to inform your answers, effectively streamlining your system. However, it is important that your system maintains a record of all signals and activities so that the system can be audited regularly to ensure optimal functionality.

Increased productivity and accuracy

AI’s automated responses and workflows can significantly affect the performance and accuracy of your converged security system.

As the workforce adopts more hybrid schedules, security teams need to be more flexible and accessible. AI can help cyber and physical security teams be more flexible and efficient, even when more data and information is coming.

This reduces unnecessary burdens for your converged security team by allowing them to shift their focus to more critical issues and get the job done productively.

See how Openpath Video Intercom Reader Pro uses AI to make it easier for visitors to access.

When a visitor, delivery courier or salesperson initiates a call using the reader’s bell, the intelligent voice system directs the call to the right person based on the guest’s answers.

The system can even be programmed to route calls to secondary teams or a voicemail service based on tenant availability and door schedules.

With access control, video security and cybersecurity systems, AI can be used to help security operators identify which areas need immediate focus, provide real-time alerts, and help security teams increase their productivity. to ensure that your business stays safe and works to the best of its ability.

Ability to detect anomalies

A good example of using AI to strengthen commercial security systems is the detection of security network and behavior anomalies.

Especially in large enterprises, it can be difficult for security personnel to monitor each instance on the network, so data-driven AI learns to recognize specific changes or patterns.

These anomalies can come in the form of user behavior, data packets sent over the network, or hacking attempts on cybersecurity systems.

AI can detect abnormal network behavior using a baseline for what is common and what is not. For example, Ava Aware uses AI in its video security software to alert security personnel to detect unusual movement or behavior.

If the AI ​​detects an anomaly, an automated response alerts security personnel to the threat, allowing them to assess and take appropriate action. Remote access and real-time notifications help keep your on-premises and cloud-based security systems safe even when your security team is away from the office.

Although AI is useful in detecting anomalies in common patterns and attacks, it is not evidence of stupidity. Sophisticated attacks can hide your signature and trick AI systems into ignoring the threat.

Human monitoring and intervention is still needed and you should never rely solely on AI to protect your security systems.

Overall, AI can help your team detect threats and anomalies in your security system on a large scale and allow security teams to act proactively and productively to protect your business.

Want to learn more about AI and big data from industry leaders? Take a look AI & Big Data Expo takes place in Amsterdam, California and London.

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Tags: AI enterprise, AI security, security

What leveraging AI in hybrid security systems means for enterprises

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