In turn, this can help identify indicators of compromise in order to create protections and alert the organization. Once collected, automation can be used to correlate the data. This data can be gathered from the network, the cloud, and endpoints. Threat intelligence: Companies can collect threat data to enable prevention automatically. ![]() ![]() End users should be able to use mobile and/or cloud-based technologies without worrying about known or unknown cyber threats and without fear of compromising their systems. No interruption on user productivity: An endpoint security solution should not negatively impact user productivity in any way.To achieve this, organizations can incorporate either local or cloud-based threat analysis to identify as well as prevent unknown and evasive threats. With the number of security breaches rapidly increasing, it is helpful to not only detect and respond to incidents after they’ve occurred but to prevent them from happening in the first place. Prevention: One of the main key requirements for securing endpoints is to pre-emptively block both known and unknown threats.
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