Page 53 - the SyI Quarterly 14 Booklet Format

Chartered Security Professionals

Securing the Future: providing early warning of any potential threats such as intrusion and cyber-attacks, configuring their

Harnessing the Power of AI defences to mitigate the threat and allowing security teams to respond quickly and effectively. This
analytical capability can also apply to the production of actionable intelligence, where AI algorithms
can be used to analyse data from various sources, such as social media and the dark web, alerting
in Security security practitioners of emerging risks. Similarly, predictive analysis can be used to analyse large
volumes of historical data, identifying previous trends and patterns which might reoccur. This
capability is a scalable solution for human resources departments to bridge the talent gap in areas
- By Hayley Elvins CSyP MSyI where trained cybersecurity experts are in short supply.

AI can be used to improve the efficiency of incident and crisis management. In the event of an
emergency, AI algorithms can be used to analyse real-time data from various sources, such as
satellite imagery, heat mapping, security cameras, environmental sensors, and social media, to
With easily accessible programs such as Midjourney, which provide a more complete understanding of the situation. This allows response teams to respond
generates high-quality art, and ChatGPT, a chatbot, which more effectively to emergencies, prioritising tasks accordingly.
can instantly produce essays, poems, scripts and convincible
phishing emails. Artificial Intelligence (AI) has become an AI products can assist security professionals to combat the threat of deep fakes. Typically, deep fakes
integral part of modern society. It has also been one of the involve manipulating audio or video to spread misinformation, or as part of a cyber-attack or scam
most significant contributors to security advancement in to trick executives or employees within an organisation. AI-based deep learning products claim to be
recent years. able to detect deep fake videos through methods such as analysing pixels representing a person’s
blood flow within an image.
The fundamental aspects of AI, is its ability to learn from
previous activity, constantly improve, analyse large volumes
of data and accurately solve complex problems at speed.
In this article, we will discuss the positive and negative
impacts of AI and how its application is assisting security
professionals to transform their approach to many aspects
of physical and cyber security.

AI has been making significant contributions to physical
security in the form of surveillance and threat detection.
For instance, AI-powered cameras can be used for real-time
monitoring of the environment, and advanced algorithms
can detect suspicious behaviour and trigger alerts, reducing
the workload for security personnel. AI has also been utilised
to enhance access control systems. AI algorithms can work
alongside automation and be used in the process of granting
or denying access based on certain parameters, such as
biometrics, the time of day, the global location, or a person’s
clearance level. This not only improves security but also
reduces the risk of human error, as manual processes can
often be prone to mistakes.

AI algorithms are capable of analysing large amounts of data
and detecting potential threats, breaches and anomalies
to patterns and trends that may go unnoticed by human
operators. For instance, algorithms can be used to monitor
and analyse the behaviour of critical infrastructure systems,

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