How to create a Secure Algorithm List for IT organization? Download this Secure Algorithm List if you are working on IEC, NIST, ISO27001:2013, or other IT and Cyber Security Standards and control objectives.
If your organization has established a need for securing business data through the use of cryptography in data encryption, data hashing, and data masking, this secure algorithm list is a useful standard. These security controls are prescribed in the Data Classification Standard, Data Handling Guidelines, and [Company Name] Security policies and standards. This supporting Secure Algorithm List (“SAL”) Standard has been developed to ensure that the organization’s cryptographic and masking practices are effective and are not prone to evolving security threats, emerging cryptanalysis techniques, and/or cryptographic attacks. The SAL is aligned with organizational objectives, Industry best practice guidelines, and where possible the objectives defined by the Payment Card Industry Data Security (PCI DSS) Standard.
This supporting Standard is applicable to all users and systems that are bound by the organizations' policies and standards
Appropriate data security controls reduce the likelihood (and impact) of data breach incidents during various phases of the data lifecycle. The purpose of this standard is to set out the rules for securing the companies' data during transmission and storage. This document provides best practice recommendations on information security management for use by those responsible for initiating, implementing or maintaining information security management systems (ISMS).
Nowadays, with the digitalization of our society, the need for data protection became more important. The latest IT Security Standards involve the application of technology to broader social and institutional contexts, and thereby contributes to the servitization of companies, and affects how they compete and interact. This document contains security technology solutions to protect data classified as “Highly Sensitive”, “Sensitive”, “Private” or “Public” as per the Data Classification Standard and Data Handling Guidelines. Specifically:
- Cryptography – Encryption and hashing solutions for protecting sensitive data when in transit or storage, and
- Data Masking – Data masking is a technology for obscuring sensitive information in non-production environments. Through data masking [Company Name] protects the content of sensitive data in non-production environments to ensure that:
- Application developers, testers, privileged users and outsourcing vendors do not have unauthorized access to such information.
- The data maintains the referential integrity of the original production data.
Download this Secure Algorithm List now. Besides this document, make sure to have a look at the IT Security Roadmap
for proper implementation and this fit-for-purpose IT Security Kit
here with over 40 useful templates. The document(s) are easy to modify and can be downloaded directly after purchase.