Summary
- Agentic process automation enables AI to detect threats, make real-time decisions, and take autonomous action.
- Unlike generative AI (which focuses on producing text, images, or audio) agentic AI actively interacts with its environment to enhance security and operational efficiency.
- By adopting AI agent skills, businesses can future-proof their security strategies and improve risk management.
Artificial intelligence is transforming industries at an unprecedented pace, but not all AI systems function the same way. Two of the most talked-about advancements in AI are agentic AI and generative AI—both powerful in their own right, yet fundamentally different in how they operate.
While generative AI focuses on creating content like text, images, and audio, agentic AI goes beyond creation, taking independent actions, making decisions, and actively automating processes. This distinction is particularly relevant in physical security, where agentic process automation is reshaping how threats are not only detected and resolved, but also proactively predicted and prevented.
When Would I Use Generative AI?
As mentioned earlier, generative AI refers to artificial intelligence models designed to create content. These systems, powered by large language models (LLMs) and neural networks, generate text, images, music, and even synthetic video. Popular examples include ChatGPT, DALL·E, and MidJourney, which can craft human-like responses, produce digital art, or even compose music based on a given prompt.
How Generative AI Works
Generative AI functions by analyzing huge amounts of training data and learning patterns to predict and create new content. For instance, a language model generates text based on previous words in a conversation, while an image-generation model creates visuals by blending elements learned from millions of images.
While generative AI is excellent for content production and creative tasks, it does NOT inherently observe, assess, or take independent action—this is where agentic AI comes in.
Here's an overview from Steve Lindsey, CTO of LVT:
When Would I Use Agentic AI?
Agentic AI is a more advanced form of artificial intelligence that doesn’t just generate information—it actively interacts with its environment, makes decisions, and performs automated tasks without the need of constant human oversight. This capability is what makes agentic process automation so revolutionary in security operations.
Steve Lindsey, Chief Technology Officer of LiveView Technologies, explains, “What’s exciting about agentic AI and the role of AI in automation is it takes a lot of the customized software development that was previously required out of the equation. It basically allows you to create these agents that have a specific job to do. Because they can access the data needed to do the job, they can figure it out on their own.”
How Agentic AI Works
Agentic AI relies on sensor data, machine learning, and real-time feedback loops to take action in an intelligent way. Rather than just generating information, it actively observes its environment through cameras, sensors, or data feeds. The information is then analyzed to determine if a response is required. If a response is needed (e.g., issuing a warning, alerting authorities, etc.), agenic AI takes action automatically.
This humanlike ability to evaluate and respond effectively is what makes agentic AI ideal for security where real-time responses can mean the difference between life or death. Agentic automation ensures that these AI systems continuously learn from new threats so they stay one step ahead of bad actors.
Agentic Process Automation and Physical Security
Traditional security relies on reactionary measures—waiting for an incident to occur before responding. Agentic AI shifts this dynamic by proactively detecting threats, validating them, and deploying deterrence strategies automatically. These systems reduce security risks while lowering operational costs by minimizing the need for human intervention.
“But the human is still part of the puzzle,” said Lindsey. “The security guard isn’t being completely displaced by AI. What the human is really good at is dealing with the exceptions to what the AI has been trained to deal with. The idea is to automate deterrence and then escalate to a human. So security guards are really only needing to take that last level of deterrence, that 10%. So for every 10 incidents they normally would be dealing with, they're only dealing with one now.”
Why Agentic AI Matters for Business and Security
Agentic automation is more than just a technological upgrade—it’s a necessary evolution. Businesses require security solutions that not only detect threats but also read patterns and proactively react to stop incidents before they occur.
By developing AI agent skills and leveraging agentic process automation, companies can ensure their security solutions are future-proofed, scalable, and effective.
Hear Steve Lindsey's take on it:
Choosing the Right AI for You
To get the most benefit from AI, businesses need to know the difference between generative AI and agentic AI. Generative AI is great for creating content and analyzing data, but agentic AI takes it a step further, handling real-time decisions and automating critical tasks—especially in security operations.
As agentic process automation advances, it’s changing the way companies think about security, risk management, and efficiency. Organizations that develop AI agent skills and train their teams on the skill for using AI agent technology will be better prepared to tackle new threats and take full advantage of AI-powered automation.
Want to see how agentic automation can enhance safety, reduce costs, and dramatically improve operational efficiency for your organization? Contact LVT today for a free demo.
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