Menu

EDGE FEATURE NEWS

IoT Data Security: SAS Integrates with McAfee Security Innovation Alliance

By Ken Briodagh October 19, 2017

According to a recent announcement, SAS has achieved technical integration of its SAS Cybersecurity analytics solution with the McAfee Data Exchange Layer (DXL), which extends to McAfee ePolicy Orchestrator (McAfee ePO) database and McAfee's partner ecosystem.

Through the McAfee DXL, SAS Cybersecurity delivers continuously updated risk scores for every network-connected asset. The solution derives risk from extensive composite scoring against multiple behavioral measures and the behavior of an asset's peer group.

“Given seemingly exponential increases in IoT devices, virtual machines and cloud services inside most enterprise networks, security organizations often lack the network knowledge and context necessary to prioritize risks and jump-start investigations,” said Stu Bradley, VP, Cybersecurity Solutions, SAS. “This integration not only provides much-needed network behavior context at scale; it also automates the triangulation of risk across end point, identity and threats using DXL data. The result is significant efficiency gains, enhancing detection while eliminating the need for extensive manual data manipulation.”

As an input to risk scoring, SAS Cybersecurity is designed to enrich data to enhance behavioral records across data dimensions. Customers with McAfee DXL-compatible solutions can opt to have the composite risk scores, enriched records and underlying contextual data published to their systems.

“The SAS Cybersecurity-McAfee DXL integration empowers security teams with an analytics-based view of their security risks, enabling them to efficiently prioritize efforts and resources, and accelerate incident investigation,” said DJ Long, head of the McAfee Security Innovation Alliance. “Organizations will benefit from the rich context the solution provides to help them improve their network defenses.”

This integration is a first step in SAS and McAfee's collaboration to deliver an enhanced, analytically driven approach to security operations that enables customers to move beyond indicators of compromise  to predictively identify and address indicators of attack.


Ken Briodagh is a writer and editor with more than a decade of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh

Editorial Director

SHARE THIS ARTICLE
Related Articles

MultiTech Introduces mPower Edge Intelligence Software

By: Ken Briodagh    5/20/2019

Multi-Tech Systems has introduced its mPower Edge Intelligence, a new embedded software offering that builds on its existing application enablement pl…

Read More

Samsung SDS and Telensa Partner on Smart City Solutions

By: Ken Briodagh    5/7/2019

Smart street lighting, IoT sensors and data trust platform will help cities deploy smart city projects and retain control of their urban data assets

Read More

When it Comes to Washing, Edge is the new AI

By: Special Guest    5/7/2019

Unveiling the misconceptions of edge computing and IoT

Read More

Alefedge And New Continuum Data Centers Announce Edge Applications And Services In Chicago

By: Ken Briodagh    4/26/2019

AlefEdge and New Continuum Data Centers have teamed up on a way for greater Chicago regional network operators and application providers to deliver wi…

Read More

IntelliView Offers IIOT Analytic Vision Platform Software for Event Detection Performance and Offsite Validation

By: Ken Briodagh    4/26/2019

IntelliView Technologies reportedly has rolled out the latest software update for its IIOT monitoring platform, the IntelliView Vision System (IVS) 5.…

Read More