Abstract: Techniques described herein can perform obfuscation detection on command lines used at computing devices in a network. In response to detecting obfuscation in a command line, the disclosed techniques can output a notification for use in connection with network security analysis. The command line obfuscation detection techniques include pre-processing command line input data and converting command lines into token groups. The token groups are then provided as an input to a natural language processor or other machine learned model, which is trained to identify obfuscation probabilities associated with token groups can corresponding command lines. A notification is generated to trigger further analysis in response to an obfuscation probability exceeding a threshold obfuscation probability.

Abstract: Techniques and architecture are described for automated threat response and remediation of incidents generated by single or multiple security products. The techniques and architecture provide a framework for automated threat response and remediation of incidents generated by single or multiple security products, especially for extended detection and response (XDR) systems. In particular, the techniques and architecture provide for an automated threat response that is handled by an auto-analyst engine emulating security analysts' steps during incident response and remediation. The automated threat response automatically confirms or disapproves of detection verdicts thereby reducing false positives that analysts usually have to deal with. If any actions are needed from a security analyst, a concise report of actions taken, gathered information and recommended next steps are provided by the automated threat response, significantly reducing the time and resources needed to resolve an incident.

Abstract: Techniques for identifying malicious threats for investigation using network telemetry data. The techniques include the use weak learner models to analyze data from multiple event sources. The techniques further include aggregating data signals from the weak learner models to generate a high-fidelity data signal of threat sources. The aggregated data signal can be sent to a Security Operation Center to provide a list of nodes with a high likelihood of malicious threats along with convicting evidence to aid in investigating the identified nodes.

Abstract: Various embodiments include integrated approaches to detecting attempts to breach system-level or chip-level security using photo-generated currents induced by lasers or other radiation sources. Various embodiments integrate photo-detection circuits with a secure processor or other circuit in such a manner that the response to a security attack is fast enough to prevent loss of secure or private information are described. Various embodiments include circuits capable of providing a permanent record of photocurrent detection.

Abstract: A method includes receiving a dataset that includes a plurality of input texts. Each input text from the plurality of texts is associated with a content category from a plurality of content categories based on a comparison between that input text and an intended meaning that is common for each comparison. For each model in a plurality of models, and for each content category from the plurality of content categories, that model is executed on each input text from the plurality of input texts to generate an average similarity/dissimilarity score for that content category. At least one model from the plurality of models is selected, based on the average similarity score for each content category from the plurality of content categories for each model in the plurality of models, to determine whether an input text is similar/dissimilar to the intended meaning.

Abstract: Various embodiments include integrated approaches to detecting attempts to breach system-level or chip-level security using photo-generated currents induced by lasers or other radiation sources. Various embodiments integrate photo-detection circuits with a secure processor or other circuit in such a manner that the response to a security attack is fast enough to prevent loss of secure or private information are described. Various embodiments include circuits capable of providing a permanent record of photocurrent detection.

Abstract: Various embodiments include integrated approaches to detecting attempts to breach system-level or chip-level security using photo-generated currents induced by lasers or other radiation sources. Various embodiments integrate photo-detection circuits with a secure processor or other circuit in such a manner that the response to a security attack is fast enough to prevent loss of secure or private information are described. Various embodiments include circuits capable of providing a permanent record of photocurrent detection.

Abstract: Various embodiments include integrated approaches to detecting attempts to breach system-level or chip-level security using photo-generated currents induced by lasers or other radiation sources. Various embodiments integrate photo-detection circuits with a secure processor or other circuit in such a manner that the response to a security attack is fast enough to prevent loss of secure or private information are described. Various embodiments include circuits capable of providing a permanent record of photocurrent detection.

Abstract: Systems and methods are described for synchronizing media data. A method of synchronizing media data includes receiving a reference acoustic fingerprint for a first media data, generating at least one acoustic fingerprint fragment from a portion of the first media data, comparing the at least one acoustic fingerprint fragment against the reference acoustic fingerprint and identifying a match, and synchronizing a second media data with the first media data based on the match.

Abstract: Systems and methods are described for synchronizing media data. A method of synchronizing media data includes receiving a reference acoustic fingerprint for a first media data, generating at least one acoustic fingerprint fragment from a portion of the first media data, comparing the at least one acoustic fingerprint fragment against the reference acoustic fingerprint and identifying a match, and synchronizing a second media data with the first media data based on the match.

Abstract: The embodiments of the invention are directed to a method and apparatus to generate pulsing lights where parameters such as frequency, degree of brightness, and the number of pulses vary depending on the duration of the brake pedal application, the time interval between consecutive brake applications, and the deceleration rate of the vehicle, as well as optionally its distance from other vehicles. The brake light control system incorporates a microprocessor having multiple inputs, including a brake pedal sensor, and its output connected via an amplifying circuit to the lights. Other inputs of the microprocessor include a deceleration sensor, a distance sensor, and an optional manual pushbutton or switch located within the driver's reach. The lights controlled by the system may include brake lights, emergency lights, or additional lights shaped into a warning triangle.

Abstract: The embodiments of the invention are directed to a method and apparatus to generate pulsing lights where parameters such as frequency, degree of brightness, and the number of pulses vary depending on the duration of the brake pedal application, the time interval between consecutive brake applications, and the deceleration rate of the vehicle, as well as optionally its distance from other vehicles. The brake light control system incorporates a microprocessor having multiple inputs, including a brake pedal sensor, and its output connected via an amplifying circuit to the lights. Other inputs of the microprocessor include a deceleration sensor, a distance sensor, and an optional manual pushbutton or switch located within the driver's reach. The lights controlled by the system may include brake lights, emergency lights, or additional lights shaped into a warning triangle.