The installation and operation of monitored video surveillance have become an integral part of modern security systems. With the rise of IP hardware and advanced AI technology, proactive networks can be intelligently designed and easily implemented in commercial and private residential properties, as well as see deployments in public infrastructure to protect our roads, streets, and transport facilities. In some sense, this convergence of physical and cyber security principles comes as a direct result of an increasingly interconnected world, with of US companies currently using or planning to implement hybrid work models and an estimated of organizations now utilizing cloud-based technology the need for teams to develop effective remote-access security tools continues to grow. 74% 90% All of this innovation in the security sector is bound to disrupt the norms of the tech industry, especially as AI developments look to produce smarter, simpler, and more integrated automatic systems, but what observable trends are expected to make the greatest impact in the near future? Increased cyber security via zero-trust networks As more companies make the switch to remote, flexible or hybrid models, it becomes harder for security teams to ensure that cybersecurity best practices are followed by employees. Sure, leaders can invest in training programs intended to teach staff how dangerous connecting to unverified public internet networks can be, but with global data breaches up a more reliable solution is required. 70% By implementing a covering every device and application used within a particular system, security staff can be assured that the unique security profile of each component is thoroughly evaluated every time it connects to the network, thereby protecting sensitive data stored elsewhere. zero-trust policy This has a positive impact on video surveillance systems as not only can security admins access camera feeds remotely without worrying about compromising wider data storage devices, but cybercriminals will find it much harder to access interconnected security systems using staff-operated devices as an easier route into the network. Mobile access and wireless surveillance systems With the advent of 5G technology comes much faster and more reliable cell network coverage, opening the doors to more accessible and effective remote-access video surveillance systems for businesses of all sizes. Remote-access CCTV not only allows security teams to monitor and review footage from almost anywhere on a 24/7 basis but also allows for much larger CCTV camera arrays. No longer do large sites need to rely on bulky, outdated, and difficult-to-install analog camera systems, limited by cable lengths and simple functionality, now wireless arrays can be easily installed wherever necessary and integrated seamlessly alongside additional IP-ready devices. IP camera Modern IP cameras are not only easier to install and capable of providing more advanced operational functions, but they also produce much higher-quality video data. The image resolution in an IP camera can be from than an analog camera, enabling wider viewing areas and much more detail when zooming in, with teams able to control, adjust and view all active devices remotely. 6 to 20 times higher Developing advanced AI integrations Advanced AI tools and consumer-level bots have quickly become one of the most talked about tech topics in recent years, though beyond the interesting and practical uses of , smart AI-based analytics software has completely transformed video surveillance systems. AI functions text and image-based From integrations with commercial access control through the use of biometric to license plate reading programs able to automatically assist security teams in parking management and the monitoring of suspicious vehicles, AI-informed CCTV is already proving incredibly beneficial to security staff. facial recognition software By streamlining security policies using integrated AI software and IP surveillance cameras, IT and security teams can develop automated alerts and hardware functions to increase incident response times and inform wider security systems whilst monitoring video feeds remotely for 24/7 protection. Authenticating footage with digital signatures As video manipulation software becomes more accessible to hackers, security staff are faced with a new problem in validating the authenticity of recorded surveillance footage. In order to protect businesses reliably, admins must devise a method of differentiating between real images and . deep fakes In a similar sense to the implementation of zero-trust networks, the answer lies in adding a digital signature to recorded surveillance footage at the point of capture across each and every frame. By applying these unique signifiers, staff can be assured that recorded footage has not been manipulated. IT teams must work with security staff to implement software solutions able to perform this task, with great care taken to design a standardized approach compatible with all existing CCTV systems and capable of being updated and applied to future installations and expanding video surveillance systems. Final Word As video surveillance systems and digital technology continue to become more advanced and intertwined, security staff and IT teams must understand the importance of developing converged physical and cyber security protocols to make the most effective use of modern technologies. Both commercial and residential installations rely heavily on proactive, intelligent, and advanced monitored CCTV systems to ensure the safety of people and property, so as more integrations and remote-access tools are developed, a deeper focus must be applied to securing and protecting data. Observable video surveillance trends act to illustrate these needs, with great attention applied to authenticating footage and securing interconnected systems from increasing cyber threats, with AI tools and IP technology providing countless benefits if implemented with care and operated responsibly.

The Video Surveillance Trends Disrupting The Tech Industry

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