How Threat Hunters Use Data Analytics to Shut Down Attackers
Here’s some good news: Your security tools generate a lot of data, and you can put that data to use.
Here’s some good news: Your security tools generate a lot of data, and you can put that data to use.
Widespread telework ushered in a new suite of applications and workflows. With it, agencies gained familiarity with cloud solutions, learning on the way.
Adopting a unified platform for data lifecycle management ensures that all data is available, secure, and ready to use.
With AI and ML, agencies are able to review data in bulk to actively monitor for the first signs of an attack and respond quickly.
Randall Knol, an IT specialist at the Census Bureau, explains how the agency is implementing AI to correct data imputations caused by human error.
Bringing data together in open-source platforms provides a comprehensive understanding of the government agency’s network to help detect and thwart cybersecurity attacks.
AI and ML can rapidly detect gaps or abnormalities on agency networks, and respond with a programmed, precautionary or reactionary action immediately.
Enterprise data clouds are especially valuable to organizations as they can analyze an agency’s data regardless of the IT storing that information.
Agency leaders and program management professionals must seek practical, secure, and effective methods to extract the valuable information captured in their data repositories — from legacy systems to real-time data streams.
Is your agency finding it challenging to implement IoT initiatives? Check out these solutions.