Artificial Intelligence minimizing security response times and reducing potential threats
In the realm of security technology, Artificial Intelligence (AI) is making a significant impact. Curtis Wright, the Director of Electronic Security and Monitoring Services at ASM, the technology subsidiary of ICTS UK & Ireland, attests to this transformation.
AI is being utilised more frequently in the security sector, aiding in creating early alerts for hostile situations, thereby enhancing overall security. The technology assists in automating the detection of objects such as vehicles and humans, and even monitoring loitering, behavior, people counting, heat mapping, and data-gathering uses.
One of the top areas of AI that is commonly explored and discussed includes Machine Learning, Deep Learning, Natural Language Processing, and Robotics. AI-based analytics can help address issues with large amounts of video footage from CCTV systems, such as missed security incidents and inefficient review processes.
Deep learning-based analytics provide more accurate results and eliminate the need for continuous video footage monitoring. AI software is installed on existing hardware without the need to replace hardware in many scenarios, making it a cost-effective solution.
AI-enhanced CCTV provides a valuable example of how technology can make environments more secure and security operations more efficient. These systems move beyond traditional video monitoring by automatically identifying unusual behaviors—such as repeated unauthorized access or suspicious movement—and sending instant alerts to security personnel. This capability helps reduce security incidents by approximately 30% in business environments.
In terms of the post- and pre-incident review processes, AI changes the landscape. Pre-incident, predictive analytics analyze historical crime patterns, environmental data, and local events to forecast potential threats before they occur. This allows for proactive deployment of security resources and adjustment of system sensitivities.
Post-incident, AI improves video data management by automating evidence tagging and retrieval, enhancing digital forensics and ensuring secure, compliant storage. This streamlines investigations and supports higher integrity and admissibility of evidence in court.
Behavioral recognition technology is evolving to learn typical patterns (like family routines or employee movements) and flag anomalies in real time, enabling faster and more targeted responses to security threats.
Overall, AI integration in CCTV security shifts the focus from reactive monitoring of footage to proactive detection and prediction, with automated alerts and smarter data handling, enhancing situational awareness, operational efficiency, and security outcomes. It's a transformative role in enhancing security through advanced video surveillance technology.
Despite the rapid advancements in AI, it's important to remember that human intervention will always be a part of the equation. AI will never replace the need for human judgement and decision-making in security operations.
There is a misconception that introducing new technology comes with a large investment. However, there are examples of a rapid return on investment (ROI). As AI continues to evolve and become increasingly intelligent, it's clear that its role in enhancing security will only become more significant.
[1] Source: KPMG, "The Future of AI in the UK: A Guide to Artificial Intelligence" [2] Source: IBM, "AI for Security: The Power of Cognitive Computing" [3] Source: PwC, "Artificial Intelligence: The European Opportunity" [4] Source: Gartner, "Predicts 2019: AI Will Drive the Next Wave of Video Surveillance Innovation" [5] Source: Forbes, "The Future Of CCTV: AI And Deep Learning In Video Surveillance"
AI is making a significant impact in the data-and-cloud-computing sector, particularly in cybersecurity, through the utilisation of Machine Learning, Deep Learning, Natural Language Processing, and Robotics for more accurate results and cost-effective solutions.
Furthermore, AI-enhanced video surveillance technology, such as CCTV systems, is transforming security operations by shifting the focus from reactive monitoring to proactive detection and prediction, thereby reducing security incidents and enhancing overall security outcomes. This integration of AI in cybersecurity and video surveillance technology is a rapidly evolving and increasingly significant role in the realm of security technology.
