Summary
- Agentic AI enhances physical security by enabling systems to detect threats, assess risks, and take action in real time with minimal human intervention.
- Agentic process automation reduces security costs by streamlining deterrence, automating evidence collection, and improving response efficiency.
- By focusing on behaviors rather than identities, agentic AI minimizes bias, ensures privacy compliance, and integrates seamlessly with existing security systems for scalable protection.
It’s no secret that artificial intelligence has taken the world by storm. AI can now easily perform tasks that used to require human intelligence—things like problem solving, decision making, even creativity! And it continues to get more and more impressive.
Unlike traditional AI, which follows rigid programming, agentic AI doesn’t need a script—it observes, thinks, and takes action on its own. Instead of waiting for someone to tell it what to do, it learns from its environment and reacts in real time.
Agentic automation goes a step further by handling tasks automatically, like spotting threats, warning intruders, and gathering evidence—without needing a human to monitor every step.
Since its recent introduction into mainstream culture, AI has completely reshaped entire industries, and security is no different. Because agentic AI allows systems to independently observe, assess, and act, it automates processes with a level of adaptability that closely mirrors human decision-making.
For physical security, this means streamlined threat detection, optimized response strategies, and reduced reliance on intervention by people. The result? Faster, smarter security that adapts on the fly and makes life easier (and safer) for everyone.
Reliable Threat Detection
Traditional security systems – relying on static parameters like motion sensors – often struggle with false alarms. One of the most significant advantages of agentic AI is its ability to detect and validate threats in real time.
Agentic AI leverages pattern recognition, contextual awareness, and predictive analytics to uncover threats before they escalate. Developing a skill for using AI agent technology ensures that security teams can configure and optimize these systems to discover even the most sophisticated threats. This multi-layered validation process reduces false positives, ensuring security teams focus on actual threats rather than wasting time investigating benign anomalies.
Lower Security Costs
Security has traditionally been reactionary, with human intervention required at multiple points in the process. Agentic automation transforms this model by allowing AI to proactively deter criminal behavior through verbal warnings, lighting, and other coordinated surveillance tactics.
For example, instead of relying on a passive surveillance camera to deter suspicious characters, an agentic AI system might issue a real-time, personalized audio deterrence message like: You in the red hat, stop what you are doing. This area is under surveillance.
Automated deterrence is highly effective. Steve Lindsey, Chief Technology Officer at LiveView Technologies, explained, “Statistically what we have seen is 70% of the time when you do a deterrence automatically, the bad actor will leave. When you get a human in and they talk down, we see about 25% of the time they will leave."
Confronting intruders with AI-driven deterrence reduces the need for security personnel to intervene, keeping employees out of harm’s way and saving human lives.
Better Evidence Collection
The post-incident phase of a breach is often expensive and time-consuming, requiring security teams to sift through hours of video footage and compile evidence manually. Agentic AI streamlines this process by tagging, organizing, and correlating data as events unfold.
“If it's just video evidence, now I've got a human going through hours and hours of video recordings from every possible camera,” said Lindsey. “But what's interesting is there's other evidence that should be gathered from other machines. The best time to gather evidence is while it’s happening.”
By integrating AI agents with generative AI, organizations can create real-time case files containing data like video timestamps of suspicious activity, access logs, and suspect movement patterns for analysis.
This not only reduces the cost of criminal prosecution for taxpayers, but also improves conviction rates by building airtight cases from verified, high-quality data.
Reduced Bias
A major concern with AI-driven security systems is the risk of bias and privacy violations. Agentic AI addresses this by focusing on behaviors rather than personal identity. Instead of tracking individuals, AI analyzes movement patterns, anomalies, and potential threats in a way that remains neutral and privacy-compliant.
Lindsey explains, “The data is anonymized—you’re not passing personal information. You’re passing evidence and facts about what happened.”
By eliminating the need for facial recognition or personally identifiable information, agentic process automation ensures that security remains ethical, unbiased, and compliant with privacy laws.
Scalable Security
Unlike traditional AI models that require extensive reprogramming, agentic AI is inherently scalable and adaptive. With the right AI agent skills, security teams can train and deploy AI-driven systems that continuously learn from their environment, adapting to new threats without requiring manual updates.
This adaptability leads to long-term cost savings because future-proofed security solutions evolve alongside emerging threats. Security remains agile, countering criminals’ countermeasures in real time.
Integrating Agentic AI with Open Security Ecosystems
A key advantage of agentic AI is its ability to seamlessly integrate into existing security systems. LVT ensures that AI agents can work across various security platforms without vendor lock-in.
This open architecture ensures that organizations are not trapped in proprietary systems and can continually enhance their security frameworks with the latest AI advancements.
Tomorrow’s Security, Today
The future of physical security is here. Agentic AI and agentic automation mark the shift from reactionary models to proactive, intelligent defense.
As AI continues to evolve, agentic automation will become the standard for security operations, enabling organizations to enhance safety while reducing costs. Mastering the skill for using AI agent technology will be crucial for businesses looking to stay ahead of security challenges in an increasingly automated world.
LVT’s approach to agentic AI demonstrates that the future of security isn’t just about technology—it’s about strategic intelligence that empowers both security teams and the communities they protect.
Curious how agentic AI can better protect your community? Contact LVT for a free demo today and see how AI can transform your security operations for less.
