Abstract: A dual-ratchet winch attached to a plate, the dual-ratchet winch including: a ratchet mechanism coupled to and configured to rotate with respect to the plate, the ratchet mechanism including a pair of gears; a pawl including a pair of pawl tips and a locking hole, the pair of pawl tips configured to engage or disengage the pair of gears of the ratchet mechanism; a pair of wings to accept a pair of compression springs; and a pin assembly configured to keep the pair of pawl tips disengaged from the ratchet mechanism.

Abstract: Systems and methods include receiving a domain for a determination of a likelihood the domain is a command and control site; analyzing the domain with an ensemble of a plurality of trained machine learning models including a Uniform Resource Locator (URL) model that analyzes lexical features of a hostname of the domain and an artifact model that analyzes content features of a webpage associated with the domain; and combining results of the ensemble to predict the likelihood the domain is a command and control site.

Abstract: Systems and methods for identifying incorrect labels and improving label correction for machine learning for security. The systems and methods including receiving data with labels; training one or more Machine Learning (ML) models to label the received data; identifying disagreements between the labels provided by the one or more ML models and the labels received with the data; and providing one or more groups of the data for review for incorrect labels.

Abstract: A dual-gear winch includes: a winch plate; a gear assembly coupled to the winch plate and configured to rotate with respect to the winch plate; a support bracket assembly coupled to the winch plate, the support bracket assembly including a hook; and a winch pawl including a slot, wherein the winch pawl is positioned to move the slot to accept the hook and to disengage from the gear assembly, or wherein the winch pawl is positioned to move the slot out and away from the hook and to engage the gear assembly.

Abstract: A dual-ratchet winch attached to a plate, the dual-ratchet winch including: a ratchet mechanism coupled to and configured to rotate with respect to the plate, the ratchet mechanism including a pair of gears; a pawl including a pair of pawl tips and a locking hole, the pair of pawl tips configured to engage or disengage the pair of gears of the ratchet mechanism; a pair of wings to accept a pair of compression springs; and a pin assembly configured to keep the pair of pawl tips disengaged from the ratchet mechanism.

Abstract: A platform for a car hauler trailer including: a first frame including a plurality of first insertion paths; a second frame including a plurality of second insertion paths; and a plurality of removable floor blocks, each floor block including a first pin and a second pin, wherein the first pin of each floor block is disposed on a first side and inserts into one of the plurality of first insertion paths in the first frame, wherein the second pin of each floor block is disposed on a second side and inserts into one of the plurality of second insertion paths in the second frame.

Abstract: Systems and methods include obtaining log data for a plurality of users of an enterprise where the log data relates to usage of a plurality of applications by the plurality of users; determining i) app-segments that are groupings of application of the plurality of applications and ii) user-groups that are groupings of users of the plurality of users; and providing access policy of the plurality of applications based on the user-groups and the app-segments. The steps can further include monitoring the access policy over time based on ongoing log data, manual verification of the access policy, and incidents where users are prevented from accessing any application; and adjusting the determined based on the monitoring.

Abstract: Systems and methods for identifying incorrect labels and improving label correction for machine learning for security. The systems and methods including receiving data with labels; training one or more Machine Learning (ML) models to label the received data; identifying disagreements between the labels provided by the one or more ML models and the labels received with the data; and providing one or more groups of the data for review for incorrect labels.

Abstract: Systems and methods include receiving network transaction data for a plurality of users monitored by a cloud-based system; creating a relationship graph based on the plurality of user's recent network transactions for a time period, wherein the relationship graph includes vertices for domains and edges for transactions by users between the domains having some number of transaction in the time period; and analyzing the relationship graph to detect previously undetected suspicious anomalies. The weights on each edge are based on a relationship between two domains where the relationship includes any of malware, Internet Protocol (IP) addresses, Autonomous System Number (ASN), registration, and redirects.

Abstract: Systems and methods include obtaining log data for a plurality of users of an enterprise where the log data relates to usage of a plurality of applications by the plurality of users; determining i) app-segments that are groupings of application of the plurality of applications and ii) user-groups that are groupings of users of the plurality of users; and providing access policy of the plurality of applications based on the user-groups and the app-segments. The steps can further include monitoring the access policy over time based on ongoing log data, manual verification of the access policy, and incidents where users are prevented from accessing any application; and adjusting the determined based on the monitoring.

Abstract: Systems and methods include receiving a domain for a determination of a likelihood the domain is a command and control site; analyzing the domain with an ensemble of a plurality of trained machine learning models including a Uniform Resource Locator (URL) model that analyzes lexical features of a hostname of the domain and an artifact model that analyzes content features of a webpage associated with the domain; and combining results of the ensemble to predict the likelihood the domain is a command and control site.

Abstract: Systems and methods include receiving a domain for a determination of a likelihood the domain is malicious or benign; obtaining data associated with the domain including log data from a cloud-based system that performs monitoring of a plurality of users; analyzing the domain with a plurality of components to assess the likelihood, wherein at least one of the plurality of components is a trained machine learning model; and combining results of the plurality of components to predict the likelihood the domain is malicious or benign.

Abstract: An ink and method of its use for printing on a variety of substrates in a first aspect involves a water-insoluble colorant, water, and a primary solvent such as diacetone alcohol capable of dissolving both the water-insoluble colorant and the water. In a further aspect, the ink composition includes a secondary solvent capable of modifying the properties of the ink, the secondary solvent being selected from the group consisting of alcohols, amines, esters, glycol ethers, ketones, polyols, and keto-pyrroles. In a still further aspect, the ink may have at least two polyols, including a first polyol characterized by being semi-solid at operating temperature and a second polyol characterized by being liquid at operating temperature. In a further aspect, the ink composition includes a surfactant selected from the group consisting of hydrocarbon-based surfactants, silicone-based surfactants, and fluorosurfactants.

Abstract: A fast-drying ink composition comprising water, a fast-drying solvent mixture including a hydrophilic co-solvent having low enthalpy of evaporation, a surface-active humectant, and a colorant. The hydrophilic co-solvent may be selected from the group consisting of propylene glycol n-propyl ether, tripropylene glycol methyl ether, and dipropylene glycol methyl ether. The surface-active humectant may comprise a hydrophobic end having a repeating unit “n” ranging from 1 to 36 and selected from the group consisting of alkane-based (CH2)n, fluoro-based (CF2)n, and silicone-based (SiO)n, and a hygroscopic end having a repeating unit “i” ranging from 2 to 8 and selected from the group consisting of a hydroxyl group, an amine group, a carboxyl group and an ester group.

Abstract: An ink and method of its use for printing on a variety of substrates in a first aspect involves a water-insoluble colorant, water, and a primary solvent such as diacetone alcohol capable of dissolving both the water-insoluble colorant and the water. In a further aspect, the ink composition comprises a secondary solvent capable of modifying the properties of the ink, the secondary solvent being selected from the group consisting of alcohols, amines, esters, glycol ethers, ketones, polyols, and keto-pyrroles. In a still further aspect, the ink may comprise at least two polyols, including a first polyol characterized by being semi-solid at operating temperature and a second polyol characterized by being liquid at operating temperature. In a further aspect, the ink composition comprises a surfactant selected from the group consisting of hydrocarbon-based surfactants, silicone-based surfactants, and fluorosurfactants.