Imagine two cars are racing. The first is a Ferrari, while the second is a 1999 Ford Taurus. The comparison seems unfair, yet this is one way to view the relationship between today’s government IT environment and IT expectations. The Ferrari represents government employee and citizen expectations for security and reliable data access. The Ford Taurus represents aging government networks that cannot keep pace with a wide variety of emerging security threats. In the current vehicles, it’s an impossible race to win.
However, this scenario doesn’t need to be the case. Machine learning in the network can help detect and negate attacks. Similar to the idea of automatically upgrading the engine in the Ford Taurus, weaving real-time intelligence via machine learning into the network infrastructure can help keep pace with emerging threats. In a world where attacks can occur at any time, the network needs agile defensive and offensive capabilities. With machine learning built into the network, a heightened level of awareness is integrated in to your environment to address zero-day threats as well as other service disruptive anomalies.
While many machine-learning capabilities are still being developed, this is the time for agencies to prepare. Government should take three steps to leverage machine learning for your network within the next few years.
byselina.lo09-26-201610:41 AM - edited 09-26-201601:16 PM
I recently had the privilege of speaking at a White House organized event that highlighted the importance of government next-generation wireless access. In partnership with U.S. Ignite and the National Science Foundation (NSF), the federal government is investing $400 million in what they call the Advanced Wireless Research Initiative, meant to advance research in the journey to 5G and next-generation wireless technology.
Innately affordable and offering speeds of up to a gigabit per second, Wi-Fi is both accessible and efficient. Ruckus Wireless, recently acquired by Brocade, delivers on the need for dependability, even in radio frequency (RF) challenged environments, through adaptive antenna technology.
One of the most revolutionary applications of next-generation wireless infrastructure is within smart cities. High performance Wi-Fi access and analytics allow municipalities to improve everything from guest Internet access to foot and commuter traffic patterns to first responder efficiency. For example, cities can leverage Wi-Fi infrastructure to collect footfall analytics, which can predict commuter wait times, feed them to a train-scheduling algorithm and improve city traffic and efficiency. First responders, on the other hand, can leverage Wi-Fi for speedy analytics to receive information about an accident before they reach the scene.
byAnthony Robbins01-18-201608:52 AM - edited 01-18-201609:18 AM
On December 9, 2015 industry leaders from Brocade, AT&T, General Motors and Facebook joined senior officials from the federal government, including U.S. CIO Tony Scott, to discuss one of the most pressing issues facing our nation, the Future of U.S. Digital Infrastructure.
Last month at the Federal Forum in Washington, D.C., I joined Brocade’s industry partners and the government’s leading IT decision makers to discuss how new, exciting technologies are changing the way our government serves the American citizenry, enables warfighters and meets the demands of a growing list of stakeholders.