Artificial intelligence is changing physical security, but simply adding AI to existing systems does not automatically make security operations more intelligent. Convergint has outlined a five-level framework designed to help organisations understand their current capabilities and identify a path towards more connected, automated and intelligent security.
Security teams are dealing with growing volumes of data, alerts and connected technologies. Yet more information does not necessarily translate into better insight.
The opportunity lies in bringing these systems together and using intelligence and automation to turn data into meaningful context. This can help security professionals understand what is happening, make better decisions and respond more effectively.
Convergint’s Path to Intelligent Security framework describes this progression through five levels: Detect, Describe, Explain, Recommend and Act.
Five levels of intelligent security
The framework presents intelligent security as a progression from identifying security events to understanding them, anticipating risks and supporting automated responses.
Level 1 – Detect: Systems identify defined security events in real time using technologies such as cameras and sensors.
Level 2 – Describe: Systems classify and summarise incidents, bringing together information such as key evidence, locations and timelines to provide greater context.
Level 3 – Explain: Data from multiple systems, including video surveillance, access control and intrusion detection, is correlated to help validate incidents and provide a deeper understanding of events.
Level 4 – Recommend: Systems identify risk patterns and potential device degradation while recommending prioritised interventions.
Level 5 – Act: Systems can execute pre-approved response workflows while maintaining audit trails, allowing organisations to move towards more orchestrated security operations.
Together, the five levels illustrate how security can evolve from simply identifying events to understanding, anticipating and responding to them more effectively.
Moving beyond alerts
The framework reflects a wider shift taking place across the security industry.
Security operations are moving from monitoring to detection, alerts to summaries, isolated information to connected context, reactive responses to predictive insights, and manual processes to orchestrated action.
However, progressing towards intelligent security involves more than purchasing new technology.
An organisation’s strategy, data infrastructure, governance, system architecture, compliance requirements and operational readiness all influence how effectively AI and automation can be deployed.
Not every organisation follows the same path
Convergint’s framework recognises that organisations will have different starting points and priorities. Security maturity can also vary between individual use cases and operating environments.
Many organisations remain primarily at the Detect or Describe stages, focusing on improving event detection, speeding up incident triage and creating more consistent documentation.
These capabilities remain an important foundation. However, moving towards the Explain stage can represent a significant development, as information from different security systems begins to be correlated.
By connecting data across systems, security teams can validate events and develop a more complete picture of what is taking place.
More advanced capabilities, including automated recommendations and orchestrated responses, remain an emerging area for many organisations.
The potential value of intelligent security
Greater intelligence in security operations can help organisations reduce false alarms, improve response times, increase operator productivity and potentially reduce the severity of incidents.
The benefits can also extend beyond the security function.
Improved operational efficiency can contribute to cost and risk reduction while supporting business continuity, compliance readiness and broader business objectives.
For organisations investing heavily in security infrastructure, these improvements can also help increase the return on existing technology investments.
People remain central to the process
AI is only one component of intelligent security.
Its value depends on how effectively information, systems and workflows are connected to support the people responsible for security operations.
Rather than replacing security professionals, intelligent systems can help reduce repetitive work, provide better context and support faster, more informed decisions.
The goal is therefore not simply to deploy AI-enabled security technology, but to apply intelligence where it can improve decisions, streamline responses and deliver measurable operational outcomes.
As organisations evaluate the future of their security operations, the key question is becoming less about whether they have AI.
It is about where they are on the path to intelligent security — and what it will take to move to the next level.
