Security teams today face a difficult question: what’s the most effective way to protect facilities - security guards or AI-powered security technology? On one hand, guards provide physical presence, deterrence, and immediate response. On the other, modern AI systems can continuously analyze video feeds and detect suspicious activity across multiple locations at once.

With rising security costs and increasing pressure to reduce false alarms, many organizations are evaluating how these two approaches compare. The reality is that the most effective security strategy isn’t choosing one over the other, it’s combining both. AI-powered intrusion detection can monitor environments continuously, while security personnel focus on responding to real incidents.

But first, it helps to understand one of the biggest problems modern security teams face: false alarms.

Why False Alarms Are a Major Problem in Traditional Security Systems

One of the most common challenges in physical security is the high volume of false alarms generated by traditional systems. Legacy alarm infrastructure typically relies on simple motion sensors or line triggers that activate whenever movement is detected. Unfortunately, these triggers are often caused by environmental factors such as:

• Shadows
• Headlights
• Animals
• Weather conditions
• Routine activity
  

According to the Electronic Security Association, 90–99% of alarm calls received by law enforcement are false alarms. For organizations managing multiple locations, these alerts create several problems:

• Security teams waste time reviewing non-critical events
• Repeated false dispatches may result in fines in some jurisdictions
• Alarm fatigue makes it harder to quickly identify real threats

Reducing false alarms has therefore become a major priority for security leaders.

👉 Read how Dragonfruit AI reduced false alarm costs for a multi-location retailer

What Role Do Security Guards Play Today?

Security guards remain a critical component of site protection. Their presence provides visible deterrence and allows organizations to respond quickly when incidents occur. Guards also support several operational tasks, including:

• Access control
• Visitor verification
• Incident response
• Safety assistance for employees and customers
  

However, even experienced security teams face limitations when monitoring large facilities or multiple sites. A guard cannot watch every camera feed simultaneously, and security teams responsible for dozens of video streams may struggle to identify incidents the moment they happen. This is where AI-powered intrusion alarms and burglary detection solutions can provide valuable support.

How AI-Driven Alarms Detect Real Security Threats

AI video monitoring and intrusion detection uses computer vision technology to analyze live camera feeds and detect unusual activity automatically. Instead of simply recording footage, AI systems continuously scan video streams to identify events such as:

• After-hours entry
• Loitering in restricted zones
• Perimeter breaches
• Unauthorized vehicle activity
  

👉 Learn how AI computer vision helps reduce false burglar alarms

When suspicious activity is detected, the system generates an alert so security teams can investigate immediately. This allows security personnel to focus on responding to verified events rather than manually watching multiple screens. For organizations operating across several locations, AI monitoring also enables centralized visibility across sites, making it easier to detect potential threats early.

How Dragonfruit AI Reduces False Alarms

Dragonfruit AI’s Intrusion Alarms solution analyzes video feeds from existing cameras to detect intrusions, perimeter breaches, burglary, and suspicious activity in real time. By understanding human behavior and environmental context, the system filters out triggers like shadows, animals, or headlights, helping organizations reduce false alarms by up to 99.9%.

When an incident is detected, Dragonfruit sends video-verified alerts, allowing security teams to assess the situation quickly and respond. When an alert is triggered, the system includes a short video clip or visual evidence showing what caused the detection. Security teams can quickly confirm whether the event represents a real threat and decide how to respond.

This approach dramatically improves situational awareness and reduces the burden of investigating false alarms.

Beyond detection, the platform also enables additional security responses such as Duress alarms for emergency situations, Live audio deterrence (talkdown) to warn intruders in real time, 911 or emergency dispatch integrations, and centralized 24/7 video monitoring across distributed locations.

This allows security teams to move from reactive alarm monitoring to proactive incident response.

👉 Explore the Dragonfruit AI Intrusion Detection product

👉 Download the Intrusion Alarm one-pager

How AI and Security Teams Work Together

Security teams shouldn’t have to choose between strong protection and operational efficiency. Modern AI-powered monitoring makes it possible to achieve both. Most organizations are adopting a hybrid security model that combines AI monitoring with human security teams.

In this approach:

1. Cameras continuously monitor environments using AI
2. The system detects suspicious behavior automatically
3. Security personnel receive alerts and respond when needed

This approach allows guards to focus on high-value tasks such as responding to incidents and assisting employees, while AI handles continuous monitoring. The result is a more efficient security operation that improves detection without increasing workload.

Watch a 2-minute overview of AI intrusion detection

👉 Request a demo to see how AI intrusion detection works with your existing cameras