There needs to be national level leadership on the issue. Governments need to pursue this issue to the extent of appointing a Minister for Cybersecurity, who would be responsible for establishing metrics, driving programs and reporting on national progress.
A more thorough partnership between public and private enterprise where national governments adopt a more focused effort on working with the cybersecurity technology community.
An integrated industry effort between cybersecurity leaders to ensure that organizations adopt technology tools that work to resolve this issue rather than amplify it.
An automated, zero-time prevention platform can reduce the range of tasks normally carried out by a cyber security team. As a result, software can predict, prevent, and analyze threats autonomously while minimizing the dependency on humans to monitor and remediate events.
The deep learning prediction model can produce
a far lower level of false positives. Standard solutions typically provide a
false positive rate of 1%, which equates to thousands of alerts that each need
to be investigated, inevitably overloading CISOs and wearing them down.
Deep learning is designed to automatically
identify the relevant features of a malicious file or vector without
engineering from a cybersecurity expert. For solution providers, it means that
they are not competing for the same talent pool as other industry players.