Cylance® Axiom Alliances Program Extends AI Based Security Approach Across Endpoints To Network and Cloud

Technology providers simplify and accelerate incident detection and response with Cylance APIs

IRVINE, CALIFORNIA, April 12, 2018 – Cylance Inc., the company that revolutionized the antivirus and endpoint protection industry with true AI powered prevention that blocks advanced cyberattacks, including fileless attacks, malware, advanced persistent threats, and zero-day attacks, today announced the Cylance Axiom Alliances Program. The program launch consists of more than 12 technology providers, each leveraging Cylance’s threat identification, management, and prevention APIs directly within their solutions to save time spent detecting and responding to security incidents for their customers. As a combined next-generation reference architecture, the response time is reduced to a fraction of a second and the customer gains insight across the entire architecture.

At a time when organizations face a shortage of cybersecurity talent, a growing volume of attacks, and a seemingly infinite quantity of signals to monitor, it is more difficult than ever to prioritize and take action on cyber threats. Members of the Cylance Axiom Alliances Program — Bitglass, Centrify, Demisto, Digital Shadows, Duo Security, JASK, LogRhythm, Lookout, Netskope, ProtectWise, Splunk, Twistlock, and Zimperium — can now leverage Cylance APIs to uncover emerging threats in real time, from within their existing systems.

Leveraging APIs, the Cylance Axiom Alliances Program creates a 360-degree threat view for customers and expands Cylance’s prevention capabilities to IoT, cloud, and on-premises environments.

By integrating Cylance into their systems through the API, customers get a single source of truth — an axiom — and clear response prioritization for the endpoint threats they face, all surfaced through Cylance’s predictive algorithms. The dramatic increase in accuracy and reduction in the number of incidents to query enables already overburdened cybersecurity personnel to free up time and resources in favor of higher-level tasks. This is of particular value to MSSPs, whose ability to respond swiftly to attacks across multiple customers simultaneously is predicated upon their ability to offer integrated and fully functional systems and high value services.

“Detecting anomalous behaviors and actively preventing attacks are now operating realities that require accurate, real-time detection,” said Didi Dayton, Vice President of Worldwide Channels and Alliances at Cylance. “At Cylance, we operate like every day is day zero. Our best-in-class partners can now integrate CylancePROTECT directly into their platforms to enable their customers to understand what is happening inside their systems quickly and seamlessly, for immediate action and containment.”

The launch of the Cylance Axiom Alliances Program also marks a significant expansion of Cylance’s channel network, which now includes more than 4,000 partner and distributor sellers worldwide, as Cylance serves more than 3,800 enterprise customers.

“Cylance is synonymous with artificial intelligence based cybersecurity on traditional endpoints. As the leader in machine learning based detection of mobile device threats, Zimperium is excited to work with Cylance and other Axiom Alliances members to deploy enterprise security solutions that are backed by unparalleled security research, scalable and easy to manage,” said Michael Callahan, Chief Marketing Officer, Zimperium.

Cylance Axiom Alliance partners can integrate CylancePROTECT® today, with the CylanceOPTICS™ integration planned for later this summer. Demos will be available at the Cylance booth (North Hall, booth #3911) at the 2018 RSA Conference in San Francisco, April 16-20. For more information about Cylance’s RSA presence, please visit: https://pages.cylance.com/rsa-2018.

For more information about the Cylance Axiom Alliances Program, or to apply to become a partner, please visit: https://www.cylance.com/en_us/partners/our-products/axiom-program.html.

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