A system for detecting data anomalies in a received data object, the system comprising: a processing unit; and a non-transitory media readable by the processing unit, the non-transitory media storing instructions that when executed by the processing unit, cause the processing unit to: determine a security posture of the received data object based on a digital signature and a file type of the received data object; generate a type-security-platform (TSP) lookup table based on the security posture and features of the received data object associated with the security posture, and generate an obfuscation value and a forensic value for the received data object based on the TSP lookup table; generate disassembled values or interpreted values for the received data object compute a result value for each block of the received data object, whereby the result value for each of the respective blocks of the received data object are generated based on the disassembled or interpreted values, the obfuscation value and the forensic value associated with the block of the received data object; create a data model based on all the result values of the received data object; and process the data model using an artificial intelligence (AI) algorithm to determine if the received data object contains data anomalies. a processing unit; and a non-transitory media readable by the processing unit, the non-transitory media storing instructions that when executed by the processing unit, cause the processing unit to: determine a security posture of the received data object based on a digital signature and a file type of the received data object; generate a type-security-platform (TSP) lookup table based on the security posture and features of the received data object associated with the security posture, and generate an obfuscation value and a forensic value for the received data object based on the TSP lookup table; generate disassembled values or interpreted values for the received data object compute a result value for each block of the received data object, whereby the result value for each of the respective blocks of the received data object are generated based on the disassembled or interpreted values, the obfuscation value and the forensic value associated with the block of the received data object; create a data model based on all the result values of the received data object; and process the data model using an artificial intelligence (AI) algorithm to determine if the received data object contains data anomalies. determine a security posture of the received data object based on a digital signature and a file type of the received data object; generate a type-security-platform (TSP) lookup table based on the security posture and features of the received data object associated with the security posture, and generate an obfuscation value and a forensic value for the received data object based on the TSP lookup table; generate disassembled values or interpreted values for the received data object compute a result value for each block of the received data object, whereby the result value for each of the respective blocks of the received data object are generated based on the disassembled or interpreted values, the obfuscation value and the forensic value associated with the block of the received data object; create a data model based on all the result values of the received data object; and process the data model using an artificial intelligence (AI) algorithm to determine if the received data object contains data anomalies. <EOS>