How exactly is AI changing the security industry?
Before AI, many cybersecurity companies relied on manual monitoring and reactive approaches. These methods are very time-consuming and do not ensure the company's safety. AI in cybersecurity is beneficial as it increases accuracy and cost-effectiveness. AI in cybersecurity is highly effective at identifying threats in real-time. The industry of security is changing to focus more on an AI-centred path.
Live Facial Recognition is mainly used by police which depicts people as they pass through an area. Live Facial Recognition scans people's faces and compares them to a watchlist which can result in an alert. By using live facial recognition, people are ensured much more safety. Retrospective Facial Recognition is a facial recognition system that compares a still image of someone's face to identify them. Overall, facial recognition is incredibly important to ensure safety in our everyday lives.
AI-powered firewalls are another way that AI is changing the security industry. AI-powered firewalls use AI to analyze networks and make real-time decisions on what traffic to allow or block.
With AI technology, this allows companies to predict threats by identifying vulnerabilities before they are open to the public. This ensures safety for companies by allowing them to implement precautionary measures.
Even though, AI does heavily influence the security industry positively. There are many limitations such as the risk of overreliance on AI. This means that people should also regularly check on the AI systems to make sure there are no errors. With AI involving the use of private data and information, there are a lot of concerns regarding legal standards. Moreover, with the possibility of an accident, the question of legal liability may emerge.
As AI is currently important in the security industry, many believe that AI will continue to grow in the security industry. “The next decade will be dominated by AI applications in the security industry. AI can be very helpful when it comes to assessing and analyzing massive amounts of data to help monitor critical security threats, such as detecting anomalies captured on digital video cameras.”( Chong). AI will only continue to develop so its ability to predict and identify potential threats will increase.
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Balaban, David. “How AI Is Making Cybersecurity Solutions More Accessible.” Forbes, Forbes Magazine, 27 June 2024, www.forbes.com/sites/davidbalaban/2024/06/27/how-ai-is-making-cybersecurity-solutions-more-accessible/?ss=cybersecurity.
Balaban, David. “How AI Is Making Cybersecurity Solutions More Accessible.” Forbes, Forbes Magazine, 27 June 2024, www.forbes.com/sites/davidbalaban/2024/06/27/how-ai-is-making-cybersecurity-solutions-more-accessible/?ss=cybersecurity.
Facial Recognition Technology, www.south-wales.police.uk/police-forces/south-wales-police/areas/about-us/about-us/facial-recognition-technology. Accessed 28 June 2024.
James Segil, Motorola Solutions. “How Ai Can Transform Integrated Security.” Security Industry Association, 23 Apr. 2024, www.securityindustry.org/2024/03/19/how-ai-can-transform-integrated-security/#:~:text=AI%2DPowered%20Firewalls&text=This%20dynamic%20approach%20enhances%20security,services%20to%20enhance%20firewall%20capabilities.
Botte, Antoine. “How AI Is Revolutionising Malware Detection, plus Its Challenges and Limitations.” OVHcloud Blog, 7 Mar. 2024, blog.ovhcloud.com/ai-revolutionising-malware-detection/#:~:text=With%20AI%20technology%2C%20it%20is,before%20threats%20can%20cause%20damage.
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