Published By: Cylance
Published Date: Mar 12, 2019
Today’s advanced cyber threats target every computer and
mobile device, including enterprise endpoints, especially
those that make up critical infrastructure like industrial
control systems and embedded devices that control much
of our physical world. The modern computing landscape
consists of a complex array of physical, mobile, cloud, and
virtual computing, creating a vast attack surface. Meanwhile,
the cybersecurity industry is prolific with defense-in-depth
security technologies, despite a threat landscape that remains
highly dynamic, sophisticated, and automated.
Cylance, however, takes a unique and innovative approach
of using real-time, mathematical, and machine learning
threat analysis to solve this problem at the endpoint for
organizations, governments, and end-users worldwide.
Security risks have grown roughly in proportion to the meteoric growth in employee-owned mobile devices within the workplace. Meanwhile cyber-attacks are growing in sophistication and severity. According to data from a new IDG Research survey, these dynamics have IT decision makers scrambling to tighten and revise BYOD policies while addressing the holistic issue of endpoint security. Download this two-page paper detailing the IDG Research results and for expert advice on securing your organization’s data in an increasingly mobile world.
Threats are becoming increasingly dynamic, forcing organizations to defend against both traditional malware and new advanced attacks. As a result, more and more organizations are making the switch to next-gen endpoint protection from Sophos to get the proven, innovative defense they need.
Read this solution brief to learn how Sophos Next-Gen Endpoint Protection delivers the protection, usability and support required to stay ahead of the constantly evolving threat landscape.
Published By: MobileIron
Published Date: Aug 20, 2018
In the PC era, employees operated from within a well defined enterprise IT perimeter and passwords were sufficient to establish user trust. However, in today’s mobile-cloud environment, the enterprise perimeter has dissolved and business information is available to users on a variety of endpoints, apps, services, networks, locations. In this dynamic access environment, organizations need a different approach to security that is able to:
• Establish user trust using multiple factor authentication
• Correlate user trust with other factors such as endpoint, app, network, and more
• Apply adaptive, risk-based policies that match the user’s environment
Published By: Symantec
Published Date: Dec 13, 2017
By 2021, cyber attacks are expected to cause $6 trillion in damages worldwide. To combat, spending is predicted to hit $1 trillion between 2017 and 2021. Attackers benefit from an infinite amount of time and tactics at their disposal, as they work to get around the typical static network and endpoint defenses organizations put in place. Deception can complement endpoint and network defenses, adding dynamic security mechanisms that can be customized for every environment to take the attacker’s advantage away.
While endpoint and network security protects you from being compromised, deception mitigates the effects of a compromise by detecting it early and identifying the attacker intent which helps coordinate a faster and better response.
Read this white paper to find out more.
NSS Labs performed rigorous testing of McAfee Endpoint Security v10.5 across a multitude of attack threat vectors targeting a very dynamic enterprise class endpoint attack surface. In addition, McAfee Endpoint Security v10.5 was evaluated for it's resistance against several evasion categories and false positive testing. This test was conducted free of charge and NSS did not receive any compensation in return for McAfee's participation. Download a complimentary copy ($750 value) of this NSS Labs individual test report that provides detailed information not available elsewhere.
Overwhelmed by the volume of security intelligence and alerts, human analysts need machine learning to augment and accelerate efforts. Machine learning moves security analytics from diagnostic and descriptive to prescriptive and proactive, leading to faster and more accurate detection.
Today’s threat landscape has forced us, once again, to evolve how we think about and deliver effective security to protect endpoints (PCs, Macs, Linux, mobile devices, etc). Malware today is either on an endpoint or it’s headed there. Advanced malware is dynamic, can compromise environments from an array of attack vectors, take endless form factors, launch attacks over time, and can quickly exfiltrate data from endpoints. Such malware, including polymorphic and environmentally aware malware, is very good at masking itself and evading traditional security tools, which can lead to a breach. As a result, it’s no longer a question of “if” malware can penetrate defenses and get onto endpoints, it’s a question of “when”.