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NEWS & INDUSTRY UPDATES
IBM adds two new features to its MaaS360 with Watson unified endpoint management (UEM) product: Business Dashboards for Apps and Policy Recommendation Engine [Read More]
Apple's iOS 12 and macOS Mojave are set to bring several new security improvements when they arrive this fall. [Read More]
Malwarebytes acquires Binisoft, the maker of the Windows Firewall Control tool, to enhance its endpoint protection platform [Read More]
F-Secure announced on Thursday the launch of a new endpoint detection and response (EDR) solution named Rapid Detection & Response [Read More]
The Internet of Things (IoT) botnet known as Hide 'N Seek can now achieve persistence on infected devices and survive reboots, Bitdefender reports. [Read More]
Recently discovered “Lojack” agents containing malicious command and control (C&C) servers point to the Russian cyber-espionage group Sofacy, according to NETSCOUT Arbor. [Read More]
Despite the new technology of artificial intelligence enhanced behavioral detection, defenders are not yet winning the battle against malware attacks. [Read More]
A researcher has developed a tool that helps Mac laptop users detect evil maid attacks by monitoring the state of the device’s lid [Read More]
Microsoft unveils Windows Defender System Guard runtime attestation, a new Windows platform security technology for all editions of Windows [Read More]
AlienVault launches OTX Endpoint Threat Hunter, a free scanning service that allows organizations to identify threats and assess risk [Read More]
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FEATURES, INSIGHTS // Endpoint Security
It is essential to understand exactly what is meant by machine learning so you can quickly differentiate between those solutions that actually provide the technology you need to stay ahead in the cyber war arms race, and those capitalizing on market hype.
With all of our collective focus on machine learning, we simply can’t overlook human learning’s critical role in guarding against attack and protecting the organization.
If a particular product blocks 99% of all threats, that probably means that product fails to detect the most dangerous threat: targeted attacks.
Just as there should be consistency across network, endpoint and cloud security, there should be the same consistency in identification, prevention, policy and enforcement of that policy for IoT security.
Jack Danahy, co-founder and CTO of Barkly, attempts to clarify what is and what is not machine learning in endpoint security
Endpoint protection will never be able to catch up with “known wolves,” but machine learning and artificial perception can change the rules of engagement with models of “known good.”
It seems as though competing vendors spend more of their marketing dollars describing the insufficiency of existing solutions than they do explaining the added value that their new advancements bring.
There’s a difference between “nice-to-have” security products and “must-have” security products. The “must-haves” are critical to protecting organizations from cyber attacks.
It’s hard keeping criminals from infiltrating networks, much less worrying that users will simply open the door to bad guys by letting their guard down.
Behavioral detection models can focus in on what the attacker actually does, instead of relying on a set of signatures or known indicators of compromise that often lag behind attackers.
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