აბსტრაქტი. The cyberattack's problem is receiving growing attention. The loss or theft of digital data are consequences of this type of problem, which when they occur in practical domains can affect the finances of organizations. Some cybersecurity strategies for handling these problems are based on the employment of encryption methods. In this regard, there exists several safe alternatives based on standard encryption algorithms such as AES (Advanced Encryption Standard), RSA (Rivest-Shamir-Adleman), ECC (Elliptic Curve Cryptography), to mention a few. However, it is known that the AES and RSA algorithms have been threatened by quantum computing advent. In this paper, several aspects related to this subject are studied although quantum computing is not used in this work, other measures have been proposed. We focus on cybersecurity strategies based on reduced and random encryption methodologies, with the purpose of suggesting the noisy injection and camouflaging text, over of the encryption ciphertext that it has been obtained by standard encryption algorithms. This situation may confuse to the cybercriminals. In the same way, we have considered some inadequate algorithms that they have been vulnerable to the birthday attack, FMS (Fluhrer, Mantin & Shamir), and brute-force attacks such as DES (Data Encryption Standard), 3DES (Triple Data Encryption Standard), WEP (Wired Equivalent Privacy), RC (Rivest Cipher) and Blowfish. We suggest camouflaging ciphertext with reduced random proposal and safeguard the information by becoming them in secure schemes. Novel definitions of Random Noisy and Reduced Noisy methodologies based on noisy injection and camouflaging text strategies with Artificial Intelligence (AI) and comparison of results with standard algorithms are also introduced. In case of AES, RSA, RC and ECC algorithms, the AES-256, RSA-2048, RC4 and ECIES-SEC (Elliptic Curve Integrated Encryption Scheme of Standards for Efficient Cryptography) P-256-R1 versions, respectively have been employed.