Effectively Use AI to Protect Your Systems
With properly deployed AI, maintaining a predictive security posture is possible, and the key is to focus not just on protection, but on prevention.
With properly deployed AI, maintaining a predictive security posture is possible, and the key is to focus not just on protection, but on prevention.
By adopting DevOps principles and cloud-native application development pipelines, agencies have benefitted from faster development, improved UX and more.
Using cloud computing’s on-demand, decentralized capabilities, the Content Cloud enables agencies to create, govern and share their content digitally.
“The only way to stay ahead of malware-based attacks is to create a predictive capability where you can learn from history to predict the future. And that is precisely what machine learning and artificial intelligence are absolutely fantastic at doing.”
When it comes to cloud-native applications, security can’t be an afterthought. Instead of relying on bolted-on solutions and approaches, security must be integrated.
Here are three ways your agency can prepare for both physical and digital emergencies no matter where you and your coworkers are operating from.
The public expects private-sector businesses to serve them continuously and digitally and, increasingly, they expect the same in the public sector.
Cybercriminals’ goal is to turn panic into profit. Agencies’ and individuals’ responsibility is to stop them.
Inherently a complex process, grant management gets even more complicated in times of crisis. The CARES Act exemplifies this.
When it comes to application security, network administrators need to think differently about web applications.