The Future of AI in Physical Security: From Reactive to Proactive

In recent years, artificial intelligence (AI) has revolutionized many industries, including physical security. Yet, while AI offers incredible potential, it also comes with challenges. The shift from reactive to proactive security is reshaping how we protect homes and businesses. But here's the big question: are humans still needed in the equation?

Let's explore the opportunities, challenges, and context-driven solutions AI brings to physical security.

The Challenge of False Alarms

Fake alarms are a repeated problem in the traditional security industry

If you've ever owned or managed a security system—whether a traditional one like Jablotron or ADT, or a DIY setup with cameras—you've likely dealt with false alarms. And you're not alone.

Did you know 95% of alarms in traditional systems are false?

These systems rely heavily on cameras or PIR (passive infrared) sensors that react to any unexpected movement. The result? Countless alerts triggered by harmless activities like a neighbor entering their home, a pet crossing a restricted area, or a car driving by.

This highlights two core issues:

Highly Imbalanced Data: Most captured events are non-threatening, making it difficult for systems to identify genuine threats like break-ins or dangerous behavior.
False Positive Overload: The sheer volume of irrelevant alerts overwhelms users, reducing their ability to respond effectively to real threats.

A great analogy is a metal detector: it beeps for a harmless belt buckle just as loudly as it would for a concealed weapon.

The Need for Speed

Security isn't just about detecting threats—it's about detecting them quickly. Most home invasions and robberies occur within a 5-10 minute window, leaving little time to act.

Consider this scenario:

You're arriving home late at night, and an unknown car tailgates you into your property.
An effective system should ask: Is this car recognized? Is it within a critical perimeter?

Or imagine spotting someone jumping a fence or lingering near your home. The ability to detect these actions proactively and alert you before a break-in occurs is critical.

The Importance of Context

Even with advanced AI, detecting objects like masks, hoods, or guns isn't enough. Context is everything.

For example:

A gun in a police station is normal, but during a robbery, it's a clear threat.
Someone wearing a hoodie could be jogging—or trespassing.
A mask might signal a Halloween costume or an attempt to conceal identity during a crime.

Without understanding the full scene, AI risks generating unnecessary alerts or missing critical threats.

Solutions: Leveraging AI for Context-Aware Security

To address these challenges, AI systems must analyze more than isolated objects. They need to understand the bigger picture :

Who is present?
What actions are they taking?
How does this behavior fit the broader context?

Technologies like Large Vision Models (LVMs) —relatives of popular large language models (LLMs) like ChatGPT—are gaining traction in this space. These systems can process visual data with greater nuance, enabling more reliable threat detection.

The AI is changing the whole approach to security and prevention

Privacy-First Facial Recognition

Facial recognition often gets a bad rap due to its use in government surveillance. However, in small business or private security settings, it can be a game-changer:

Imagine a small business owner dealing with repeat vandalism. With facial recognition, the system can detect and alert them when the perpetrator is nearby—without violating privacy laws.
Anonymization technologies, like storing only data embeddings instead of images, comply with data protection regulations in ensure regions like the EU and Mexico.

AI as a Tool for Humans

Ultimately, AI isn't here to replace humans—it's a tool to enhance situational awareness and communication with first responders.

In critical scenarios like school shootings, AI can:

Locate threats faster.
Guide to responding to victims.
Track attackers in real time.

By enabling active mitigation , AI shifts the focus from mere prevention to immediate, effective action.

The Path Forward

The future of physical security lies in intelligent, context-aware systems that work alongside humans to protect what matters most. AI has the power to not only prevent threats but also respond to them dynamically, saving lives and property.

At Cuid, we believe in harnessing this potential to create smarter, safer environments for everyone.

Ready to explore the future of proactive security? Let's build it together.