Abstract: Arrangement for hardening cloud security policies of a cloud computing platform includes analyzing a plurality of permission usage maps, one for each cloud entity of a plurality of cloud entities included in the computing platform to discover at least one hardening gap, wherein each hardening gap is at least a difference between permissions granted and permissions used by one of the cloud entities, wherein each of the permission usage maps represents the permissions granted to a respective one of the cloud entities and the permissions used by that respective at least one of the cloud entities; for each discovered hardening gap, computing a risk score designating a potential risk reduction achieved by addressing the hardening gap; generating at least one hardening recommendation for the at least one hardening gap and its respective computed risk score; and applying the at least one hardening recommendation, thereby hardening the cloud computing platform.

Abstract: A method and system for hardening cloud security policies of a cloud computing platform are presented.

Abstract: A method and system for protecting a cloud computing platform against cyber-attacks are provided. The method includes gathering cloud logs from a cloud computing platform; analyzing, by a plurality of detectors, the cloud logs to detect at least one suspicious behavior, wherein each of the at least one suspicious behavior is identified by a suspect indicator; sequencing suspect indicators into attack sequences; scoring each of the attack sequences with an attack score, wherein each attack is scored using a scoring model; and alerting on each attack sequence having a score higher than a predefined threshold.

Abstract: A method and system for predicting subsequent cyber-attacks in attack campaigns are provided. The method includes receiving events data related to cyber-attacks occurring in a network during a predefined time window; extracting at least one sequence from the received events data at least one attack vector; generating a sequence signature for each of the at least one extracted sequence; comparing each sequence signature to a representation of historic sequence signatures to determine at least partially matching sequence signature; and based on the matching sequence, determining at least one subsequent cyber-attack in a respective sequence.

Abstract: A method and system for hardening cloud security policies of a cloud computing platform are presented.

Abstract: A method and system for protecting a cloud computing platform against cyber-attacks are provided. The method includes gathering cloud logs from a cloud computing platform; analyzing, by a plurality of detectors, the cloud logs to detect at least one suspicious behavior, wherein each of the at least one suspicious behavior is identified by a suspect indicator; sequencing suspect indicators into attack sequences; scoring each of the attack sequences with an attack score, wherein each attack is scored using a scoring model; and alerting on each attack sequence having a score higher than a predefined threshold.

Abstract: A method and system for predicting subsequent cyber-attacks in attack campaigns are provided. The method includes receiving events data related to cyber-attacks occurring in a network during a predefined time window; extracting at least one sequence from the received events data at least one attack vector; generating a sequence signature for each of the at least one extracted sequence; comparing each sequence signature to a representation of historic sequence signatures to determine at least partially matching sequence signature; and based on the matching sequence, determining at least one subsequent cyber-attack in a respective sequence.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for providing camera-based hover detection for touch-based mobile devices. One computer-implemented method includes receiving image data from at least one image capture device associated with a particular client device, comparing, by operation of a computer, the received image data to existing image data, wherein the existing image data partially includes extrapolated imaged data, determining that the received image data does not compare with existing image data and transmitting the received image data to a server for post-processing, processing, by operation of a computer, post-processed image data received from the server, wherein the processing includes updating a user configuration with the post-processed image data, and generating a hover event based upon the received image data.

Abstract: The present disclosure describes methods, systems, and computer program products for assisted portal navigation and crowd-based feedback.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for providing camera-based hover detection for touch-based mobile devices. One computer-implemented method includes receiving image data from at least one image capture device associated with a particular client device, comparing, by operation of a computer, the received image data to existing image data, wherein the existing image data partially includes extrapolated imaged data, determining that the received image data does not compare with existing image data and transmitting the received image data to a server for post-processing, processing, by operation of a computer, post-processed image data received from the server, wherein the processing includes updating a user configuration with the post-processed image data, and generating a hover event based upon the received image data.