Blackberry Corporation

Radware, Ltd.

Seculert Ltd.

Confidela Ltd.

Doron Peri

Ori Saporta

Adi Ruppin

David Potashinsky

Uri Yulevich

Yigal Ben-Natan

Timothy Choi

Gil S Shidlansik

Miron Liram

Amnon Lotem

Aviv Raff

A method for operating at least one log-analytics detection platform for detecting security threats associated with a client network, comprising: obtaining, via a communication network, log files from a client network, each log file comprising a log record associated with a channel and including an outbound communications log; extracting a channel feature set for said channels from said log files, said channel feature set comprises data pertaining to an associated entity, at least one channel feature being behavior of communication over a channel; aggregating said channel associated features for each of the channels into a data repository; generating a risk factor characterized by an entity score for said least one entity associated with entities of said channels; and blocking of communication for said entity when said risk factory is indicative of said entity being a security threat.

System and methods for malware detection using log analytics for channels and super channels

Log based analysis systems and methods for protecting computers and networks from malicious communications and malware attacks by analyzing log data obtained from client networks having network entities representing business units or customers. The system may further comprise a plurality of client asset machines, each operable to execute a security product associated with a security product vendor and log associated information of the network entities into at least one log file. The log files may be uploaded onto a log-analytics detection platform for analysis using learning algorithms operable to generate a risk factor attribute for at least one entity.

A computer implemented method and apparatus comprises detecting a file content update on a first client computer system, the file to be synchronized on a plurality of different types of client computer systems in a plurality of formats. The method further comprises associating a security policy with the file, wherein the security policy includes restrictions to limit one or more actions that can be performed with the file, and synchronizing the file to a second client computing system while applying the security policy to provide controls for enforcement of the restrictions at the second client computer system.

System and method for secure synchronization of data across multiple computing devices

A crowdsourcing log analysis system and methods for protecting computers and networks from malware attacks by analyzing data log information obtained from a plurality of client network. The client networks are associated with a set of network entities representing a plurality of business units or customers. The system may further comprise a plurality of server machines, each operable to execute a security product associated with a security product vendor and log associated information of at the network entities into at least one log file. The log files may be uploaded onto a breach detection platform for analysis based upon crowdsourcing principles and is operable to generate a risk factor attribute for at least one suspect entity.

System and methods for malware detection using log based crowdsourcing analysis

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Tel Aviv, Israel

Doron Peri