Artificial intelligence is becoming an increasingly important part of modern security operations. From intelligent CCTV analytics to automated alerts and facial recognition, technologies that once seemed futuristic are becoming more accessible to security providers and their clients.
These developments offer opportunities to improve efficiency, strengthen monitoring capabilities and help security personnel identify potential problems more quickly.
But they also raise an important question: as technology becomes more sophisticated, how should the role of security professionals evolve?
Technology is changing what security systems can do
Traditional electronic security systems have generally relied on people to observe, interpret and respond to information.
AI-enabled systems can increasingly assist with some of those functions.
Modern video analytics, for example, can be configured to identify particular movements, detect activity in restricted areas or recognise patterns that may warrant attention.
Other technologies can assist monitoring personnel by prioritising alerts or highlighting unusual activity across multiple camera feeds.
These capabilities can be particularly valuable in environments where operators must manage substantial volumes of information.
Rather than requiring personnel to examine every camera feed continuously, intelligent systems can help direct their attention towards events that may require investigation.
However, identifying an unusual event is not necessarily the same as identifying a security threat.
That distinction remains important.
Facial recognition provides a contemporary example
Recent developments in Western Australia illustrate the increasing capabilities of intelligent surveillance technology.
In October 2026, Western Australia Police released updated information about its trial of overt live facial recognition technology.
According to the announcement, the first three months of the trial involved more than 900,000 facial scans across metropolitan and regional locations.
The technology generated alerts that assisted police in identifying individuals of interest. The results also included a small number of incorrect alerts.
Although the trial operates within a law enforcement environment, rather than private security, it demonstrates both the potential capabilities of advanced surveillance systems and the importance of understanding their limitations.
Facial recognition technology also raises particular privacy considerations.
The Office of the Australian Information Commissioner has published guidance addressing the privacy risks associated with facial recognition in commercial and retail environments.
For private security providers, these developments reinforce the importance of evaluating not only what a technology can do, but also whether its proposed use is appropriate, lawful and operationally justified.
Technology can assist judgement, but should not replace it
One of the most important distinctions in modern security operations is the difference between detecting an event and determining its significance.
An automated system may identify movement in a restricted area, but it may not understand the circumstances surrounding that movement.
An unusual pattern of activity may warrant investigation without necessarily indicating suspicious behaviour.
Similarly, an automated alert may be technically accurate while still requiring further assessment before any action is appropriate.
This is where experienced security personnel remain essential.
Security professionals bring contextual understanding, communication skills and practical judgement to situations that automated systems may not fully comprehend.
They can assess circumstances, seek additional information, exercise discretion and determine an appropriate response.
The objective should therefore be to use technology to support better decisions, rather than assuming that automation can make every decision independently.
The operational implications for security providers
As AI-enabled security technologies become more common, providers will need to consider how these systems fit within their existing operations.
Several questions deserve attention.
Are personnel adequately trained? Operators need to understand what a system is designed to detect, how alerts should be interpreted and where its limitations lie.
Are responsibilities clearly defined? When an automated system identifies a potential problem, there should be clear procedures governing who assesses the alert, who decides what action is necessary and how the response is recorded.
Are clients’ expectations realistic? Advanced technology can improve security capabilities, but it does not eliminate every risk. Providers should ensure that clients understand both the benefits and limitations of the systems being deployed.
Are privacy and information management properly considered? Some intelligent surveillance systems collect, analyse or retain information about identifiable individuals. Depending on the technology and circumstances, privacy, surveillance and data protection obligations may apply.
Is the technology being reviewed? Performance should be assessed over time, including false alerts, missed events, operational usefulness and the continuing suitability of the system.
These are not necessarily new management principles. They are familiar elements of responsible security operations applied to increasingly sophisticated technologies.
A changing role for security professionals
The continuing development of intelligent security technologies does not necessarily diminish the importance of the people working within the industry.
In many circumstances, it may increase the value of particular professional skills.
As automated systems undertake more routine detection and monitoring functions, security personnel may increasingly be required to interpret information, manage exceptions, communicate effectively and exercise judgement.
This creates opportunities for providers to improve both operational effectiveness and workforce capability.
However, those benefits are unlikely to be realised through technology investment alone.
Training, supervision, appropriate procedures and realistic client expectations will remain essential.
Looking ahead
Artificial intelligence will continue to influence the development of security technology.
The challenge for providers is not simply deciding whether to adopt new systems, but determining how those systems can deliver meaningful improvements in security outcomes.
That requires an understanding of the technology, careful consideration of operational requirements and an appreciation of the continuing importance of professional judgement.
For Australia’s private security industry, the most effective approach is likely to be one that combines technological innovation with experienced, well-supported security personnel.
Smarter technology can improve security operations. But its greatest value will come from helping people make better decisions.
Sources and further reading
The following sources support the article and can be included as references on SPAAL’s website.
Western Australia Police
Overt Live Facial Recognition Trial – October 2026 Update
Office of the Australian Information Commissioner
Facial Recognition Technology: Assessing Privacy Risks
Australian Signals Directorate
Frontier AI Models and Their Impact on Cyber Security – September 2026
Safe Work Australia
Artificial Intelligence and Digital Technologies – Managing Risks
SPAAL – Previous Related Article
Australia’s National AI Plan: What It Means for the Security Industry