Abstract: This disclosure describes techniques for calculating a vulnerability score for a malicious threat based on Indicator of Compromise (IoC) metadata retrieved from a computing device or underlying network. Further, an Indicator of Compromise (IoC) Calculation (IoC-C) system is described that may monitor a client interaction on a computing device, and further identify IoC metadata that may relate to a malicious threat. The IoC-C system may further generate a vulnerability score that numerically quantifies a risk that the malicious threat poses to the computing device or underlying network. The vulnerability score may account for environmental criteria that mitigate an effect of the malicious threat. The IoC-C system may also generate a reporting data packet that includes an informational message identifying a potential risk posed by a malicious threat, or a response protocol that dynamically prevents, mitigates or quarantines an effect of the malicious threat on a computing device or underlying network.

Abstract: This disclosure describes techniques for calculating a vulnerability score for a malicious threat based on Indicator of Compromise (IoC) metadata retrieved from a computing device or underlying network. Further, an Indicator of Compromise (IoC) Calculation (IoC-C) system is described that may monitor a client interaction on a computing device, and further identify IoC metadata that may relate to a malicious threat. The IoC-C system may further generate a vulnerability score that numerically quantifies a risk that the malicious threat poses to the computing device or underlying network. The vulnerability score may account for environmental criteria that mitigate an effect of the malicious threat. The IoC-C system may also generate a reporting data packet that includes an informational message identifying a potential risk posed by a malicious threat, or a response protocol that dynamically prevents, mitigates or quarantines an effect of the malicious threat on a computing device or underlying network.

Abstract: This disclosure describes techniques for calculating a vulnerability score for a malicious threat based on Indicator of Compromise (IoC) metadata retrieved from a computing device or underlying network. Further, an Indicator of Compromise (IoC) Calculation (IoC-C) system is described that may monitor a client interaction on a computing device, and further identify IoC metadata that may relate to a malicious threat. The IoC-C system may further generate a vulnerability score that numerically quantifies a risk that the malicious threat poses to the computing device or underlying network. The vulnerability score may account for environmental criteria that mitigate an effect of the malicious threat. The IoC-C system may also generate a reporting data packet that includes an informational message identifying a potential risk posed by a malicious threat, or a response protocol that dynamically prevents, mitigates or quarantines an effect of the malicious threat on a computing device or underlying network.

Abstract: The present invention relates to the compound (4,5,5-trimethyl-3-methylenecyclopent-1-en-1-yl)methyl acetate and to an attractant composition for insects of the species Delottococcus aberiae comprising said compound. The present invention also relates to an attractant device for Delottococcus aberiae comprising said compound or said composition, and to a method for the control and/or monitoring of the populations of insects of the species Delottococcus aberiae.

Abstract: The present invention relates to a method for determining the effective flow rate of at least one semiochemical for controlling at least one coccoid insect pest using an artificial semiochemical matrix, and use of the effective flow rate for effectively controlling at least one coccoid insect pest through the diffusion of at least one semiochemical.

Abstract: This disclosure describes techniques for calculating a vulnerability score for a malicious threat based on Indicator of Compromise (IoC) metadata retrieved from a computing device or underlying network. Further, an Indicator of Compromise (IoC) Calculation (IoC-C) system is described that may monitor a client interaction on a computing device, and further identify IoC metadata that may relate to a malicious threat. The IoC-C system may further generate a vulnerability score that numerically quantifies a risk that the malicious threat poses to the computing device or underlying network. The vulnerability score may account for environmental criteria that mitigate an effect of the malicious threat. The IoC-C system may also generate a reporting data packet that includes an informational message identifying a potential risk posed by a malicious threat, or a response protocol that dynamically prevents, mitigates or quarantines an effect of the malicious threat on a computing device or underlying network.

Abstract: Techniques for efficient remediation of enterprise security threats are disclosed that use historical remediation implementations and security vulnerability report cross-references to reduce the resources required to remediate reported vulnerabilities in enterprise software deployments. Multiple security tools are used to identify existence of vulnerabilities and provide a confidence level for a recommended remediation. When there is high confidence that a proposed remediation is correct for an enterprise, the remediation is implemented without further design or development of the remediation. Cross-references among multiple reports are used to reduce redundancies in the threat remediation process.