Abstract: Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. Efforts for spying, attacks from spyware, phishing, and vishing, among other threats, are used by bad actors to attack devices and data. The security systems and methods protect devices and/or data, and any associated devices and/or data, such as by anonymizing client devices and data through deconstruction and scattering data, assigning the data to one or more qubits and distributing the qubits over a blockchain. In some examples, algorithms are scanned to identify whether inputs are intended to or inadvertently targeting specific races or genders. These inputs may be used to draw particular conclusions about the individual's race, economic status, the area's economic state, etc. As such, an algorithm scanning engine protects against algorithmic biases with respect to race, gender, economic status, etc.

Abstract: Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. Efforts for spying, attacks from spyware, phishing, and vishing, among other threats, are used by bad actors to attack devices and data. The security systems and methods protect devices and/or data, and any associated devices and/or data, such as by anonymizing client devices and data through deconstruction and scattering data, assigning the data to one or more qubits and distributing the qubits over a blockchain. In some examples, algorithms are scanned to identify whether inputs are intended to or inadvertently targeting specific races or genders. These inputs may be used to draw particular conclusions about the individual's race, economic status, the area's economic state, etc. As such, an algorithm scanning engine protects against algorithmic biases with respect to race, gender, economic status, etc.

Abstract: Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. This disclosure relates generally to security systems for computing environments.

Abstract: Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. This disclosure relates generally to security systems for computing environments.

Abstract: Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. Efforts for spying, attacks from spyware, phishing, and vishing, among other threats, are used by bad actors to attack devices and data. The security systems and methods protect devices and/or data, and any associated devices and/or data, such as by anonymizing client devices and data through deconstruction and scattering data, assigning the data to one or more qubits and distributing the qubits over a blockchain. In some examples, algorithms are scanned to identify whether inputs are intended to or inadvertently targeting specific races or genders. These inputs may be used to draw particular conclusions about the individual's race, economic status, the area's economic state, etc. As such, an algorithm scanning engine protects against algorithmic biases with respect to race, gender, economic status, etc.

Abstract: Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. Efforts for spying, attacks from spyware, phishing, and vishing, among other threats, are used by bad actors to attack devices and data. The security systems and methods protect devices and/or data, and any associated devices and/or data, such as by anonymizing client devices and data through deconstruction and scattering data, assigning the data to one or more qubits and distributing the qubits over a blockchain. In some examples, algorithms are scanned to identify whether inputs are intended to or inadvertently targeting specific races or genders. These inputs may be used to draw particular conclusions about the individual's race, economic status, the area's economic state, etc. As such, an algorithm scanning engine protects against algorithmic biases with respect to race, gender, economic status, etc.

Abstract: Security systems and methods continuously monitor for known threats and proactively pursue information on emerging or unknown threats on devices and data. Efforts for spying, attacks from spyware, phishing, and vishing, among other threats, are used by bad actors to attack devices and data. The security systems and methods protect devices and/or data, and any associated devices and/or data, such as by anonymizing client devices and data through deconstruction and scattering data, assigning the data to one or more qubits and distributing the qubits over a blockchain. In some examples, algorithms are scanned to identify whether inputs are intended to or inadvertently targeting specific races or genders. These inputs may be used to draw particular conclusions about the individual's race, economic status, the area's economic state, etc. As such, an algorithm scanning engine protects against algorithmic biases with respect to race, gender, economic status, etc.