AI Means Proactive Surveillance

The evolution from passive recording to proactive, intelligent surveillance is no longer theoretical — it is happening now. SMART Security Solutions asked DeepAlert’s Head of Sales, Mark Smuts, for an honest assessment of where AI stands today and where it is heading.

According to Smuts, AI has transformed 
surveillance by enabling real-time analysis at scale.

False positives have dropped dramatically, and operators can focus their attention on genuine threats rather than managing alert fatigue. DeepAlert’s platform already operates across on-premises, cloud, edge, and hybrid architectures — giving customers flexibility based on their infrastructure and privacy requirements.

Looking at the next 12 to 24 months, DeepAlert anticipates a shift from rule-based detection to autonomous, agentic AI capable of multi-camera contextualisation and dynamic scene understanding. Behavioural analytics — already making an impact in retail loss prevention — will become more accessible as the technology matures, enabling security operations to pre-empt incidents rather than simply respond to them.

The direction of travel is clear: smarter systems, lighter operator workloads, and 
faster response times. DeepAlert is building toward that future today.

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