Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely identifies and maps sensitive information from computers across the enterprise. Secure and sensitive information may be internally encrypted and analyzed for indicators of compromise, threatening behavior, and known vulnerabilities. The remote, agent-less collection, analysis, and identification process can be repeated periodically to detect and map additional sensitive information over time, and may delete itself after completion to avoid detection.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely identifies and maps sensitive information from computers across the enterprise. Secure and sensitive information may be internally encrypted and analyzed for indicators of compromise, threatening behavior, and known vulnerabilities. The remote, agent-less collection, analysis, and identification process can be repeated periodically to detect and map additional sensitive information over time, and may delete itself after completion to avoid detection.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely identifies and maps sensitive information from computers across the enterprise. Secure and sensitive information may be internally encrypted and analyzed for indicators of compromise, threatening behavior, and known vulnerabilities. The remote, agent-less collection, analysis, and identification process can be repeated periodically to detect and map additional sensitive information over time, and may delete itself after completion to avoid detection.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely collects system information from computers across the enterprise, internally encrypts and analyzes the collected information for indicators of compromise, threatening behavior, and known vulnerabilities, and generates alerts regarding known and potential threats for further analysis and remediation. If potential threats are identified, the system may deploy a memory analysis module that takes a deeper analysis of the potentially compromised computer to obtain more information about the potential threat.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely identifies and maps sensitive information from computers across the enterprise. Secure and sensitive information may be internally encrypted and analyzed for indicators of compromise, threatening behavior, and known vulnerabilities. The remote, agent-less collection, analysis, and identification process can be repeated periodically to detect and map additional sensitive information over time, and may delete itself after completion to avoid detection.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely collects system information from computers across the enterprise, internally encrypts and analyzes the collected information for indicators of compromise, threatening behavior, and known vulnerabilities, and generates alerts regarding known and potential threats for further analysis and remediation. If potential threats are identified, the system may deploy a memory analysis module that takes a deeper analysis of the potentially compromised computer to obtain more information about the potential threat.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely identifies and maps sensitive information from computers across the enterprise. Secure and sensitive information may be internally encrypted and analyzed for indicators of compromise, threatening behavior, and known vulnerabilities. The remote, agent-less collection, analysis, and identification process can be repeated periodically to detect and map additional sensitive information over time, and may delete itself after completion to avoid detection.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely collects system information from computers across the enterprise, internally encrypts and analyzes the collected information for indicators of compromise, threatening behavior, and known vulnerabilities, and generates alerts regarding known and potential threats for further analysis and remediation. If potential threats are identified, the system may deploy a memory analysis module that takes a deeper analysis of the potentially compromised computer to obtain more information about the potential threat.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely identifies and maps sensitive information from computers across the enterprise. Secure and sensitive information may be internally encrypted and analyzed for indicators of compromise, threatening behavior, and known vulnerabilities. The remote, agent-less collection, analysis, and identification process can be repeated periodically to detect and map additional sensitive information over time, and may delete itself after completion to avoid detection.

Abstract: Embodiments of the present invention provide techniques, systems, and methods for remote, agent-less enterprise computer threat data collection, malicious threat analysis, and identification and reporting of potential and real threats present on an enterprise computer system. Specifically, embodiments are directed to a system that securely collects system information from computers across the enterprise, internally encrypts and analyzes the collected information for indicators of compromise, threatening behavior, and known vulnerabilities, and generates alerts regarding known and potential threats for further analysis and remediation. If potential threats are identified, the system may deploy a memory analysis module that takes a deeper analysis of the potentially compromised computer to obtain more information about the potential threat.