Not very long ago, the notion of automatically preventing security incidents was considered too risky. The concern was that a legitimate process would be blocked that could negatively impact business operations, or cause an executive to have a bad experience.
Both scenarios would be blamed on the security team, which would threaten their personal job security.
In the end, the user experience was put ahead of risk reduction. There is not necessarily anything wrong with putting user experience first, especially considering that in the early days of prevention solutions, the technology was not mature and unable to deliver seamless security.
Today, technologies exist that are virtually invisible to the end user, and since they operate using various forms of machine learning and AI, they are able to reduce the risk of malware related incidents down to almost zero.
Layer onto these endpoint security solutions strong identity management and encryption, and you have a fantastic proactive, prevention, and data protection system in place.
The industry is filled with many different endpoint security solutions, making it difficult for security professionals to determine which solution is the best for their environment.
Cybrary partners with some of the world’s leading endpoint detection and prevention solutions, making their members aware of their options and providing necessary training to fully understand the technical depth of each solution.
Choosing a technology is a major challenge, but technical superiority is not the only criteria you should be considering. You could have the best solution in the world, but also have an uncertain mission and vision of the company. Perhaps you select a solution that is amazing, and has an amazing company behind it – but it doesn’t work on all of your technology platforms. Maybe it doesn’t offer support on Macs, or on Linux Servers, or older versions (Read more...)
This is a Security Bloggers Network syndicated blog post authored by The Cylance Team. Read the original post at: Cylance Blog