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Home Uncategorized

Revolutionizing the Federal Government’s Cybersecurity Arsenal Using Artificial Intelligence

by Peter Jacobs
June 14, 2018
in Uncategorized
Reading Time: 2 mins read
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cybersecurity arsenal
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Federal government agencies continue to face an unrelenting barrage of cyber attacks and the tools they currently have in their cybersecurity arsenal may not be up to the task of identifying – and stopping –them before they can corrupt data, disable systems and threaten national security. Existing technologies are usually based on rules, so they depend on knowing what the threat looks like before it can be prevented. But threats are constantly evolving and new malware is designed to skirt those rules and evade detection.

Artificial intelligence (AI) and machine learning technologies can make the difference. The adaptive nature of AI identifies malicious code faster and more accurately than any legacy anti-virus or endpoint security system. That speed and precision is essential to preventing an attack before it corrupts your data or paralyzes your network.

Register Now

On Thursday, June 21st 2018, Cylance is hosting a  morning seminar Washington, DC, to explore this leading-edge approach and share best practices. Use AI to Protect & Prevent Cyber Attacks examined the unique capabilities that AI and machine learning bring to security. This ground-breaking AI approach is over 99 percent effective against zero-day malware, ransomware, and other advanced threats.

 

Protecting the Frontier

While most agencies reap business benefits from mobile devices, including smartphones, tablets and laptops, anything that can carry code from an unprotected source into a network brings with it tremendous risks.

As Malcolm Harkins, Chief Security and Trust Officer for Cylance, explains, the endpoint is one of the most vulnerable entryways to the enterprise, so it’s critical to identify and block malicious code before it can go any further. “AI and machine learning can make this goal more attainable, and with a level of precision that can’t be matched by older technologies,” Harkins said, explaining that taking a proactive approach to endpoint security can use the same sort of AI technology that guards the infrastructure, but designed for the needs of a mobile workforce.

Ready to register? You can do that now!

Tags: AI and machine learningAI SecurityArtificial IntelligenceCyber attack costsCylanceendpoint securityMalcolm HarkinsMalware ProtectionMobile Device Securitymobile securityPreventing Fileless AttacksRansomware ProtectionZero Day Malware

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