Latin America. The response to cybersecurity threats is constantly evolving. You may have been protected against yesterday's threats, but new risks of everyday malware, ransomware, employees inadvertently accessing content on an unmanaged device and exposing the vulnerabilities to their environment emerge.
While it's easy to claim that you're 100% protected against cyberattacks, the reality is that danger lurks every time you connect new devices, computers, and applications to a network or the cloud. Only by taking proactive steps to mitigate risks and establishing policies dedicated to rapid response can you minimize threats to one of your most valuable assets: Your data.
Personalization makes One-Stop-Shop a reality in Security
At Pelco, we serve a variety of partners and end users within a wide range of industries, from airports and train stations to casinos and sports stadiums. The amazing thing about working in different industrial verticals is that no customer is the same; each has a unique set of security needs and interests that ultimately shape your video surveillance approach.
While there are undoubtedly many similar customer requirements, there are a number of individualized modifications that can and should result in a truly unique solution.
Reduce expenses with explosion-proof cameras
Explosion-proof cameras are highly specialized, and the acquisition cost is much higher than a typical outdoor camera. An important consideration is the expense incurred during the life of the explosion-proof camera, which may exceed the original purchase price of the camera. In this article, we review some of the advancements in technology and design that greatly reduce the total cost of ownership.
Where do you think the world of video surveillance is going?
You know the question, do you want the good news or the bad news first? Well, let's start with the good news. Surveillance solutions change rapidly for the better. The technology is becoming more sophisticated due to significant advances in video and imaging capabilities and, above all, in deep learning and predictive analytics.
