Major Modern Security Management Concepts
Along with fundamental concepts of information security (confidentiality, integrity, availability, authenticity, and non-repudiation) cross all five pillars of information security (Physical, people, data and infrastructure security, and crisis management). Following are few major long term modern security management concepts:
Centralized Enterprise Key Management
Encryption is used to enforce data-access policies across different structured and unstructured storage platforms, including on-premises and public cloud services. This provides a symmetric, centralized software or hardware appliance for multiple encryption solutions by enabling secure key distribution, storage, and administration, and maintaining key life cycle management.
Implementing encryption or tokenization is a critical component of a data security strategy. These mitigate growing data residency and privacy requirements to prevent data breaches due to hacking or malicious or accidental incidents. Enterprise key management provides consistent key life cycle management to help mitigate these risks and reduce the risk of accidental shredding of data in case keys are lost.
Enterprise key management enables cryptography to protect the data/files in storage or to protect data fields stored within files accessed from SQL and NoSQL platforms.
Enterprise-wide key management is expected to support enterprise-wide data security governance (DSG) policies that complement a broader set of product controls, such as database activity monitoring (DAM), data access governance (DAG), data loss prevention (DLP), and data access privileges in on-premises or multi-cloud environments.
Data access governance helps across connections with multiple systems. This includes interoperability of unstructured and semi-structured data. Governance includes assessment, management, and real-time monitoring of systems. These controls include system-level, row-level access, and table- or schema-level access control, along with other security controls at the storage and processing levels. Data classification identifies which class of data needs to have more access controls, audit trails, and permission activities.
Data access governance products help organizations solve data security and privacy regulation issues, specifically where data access tracking is critical, including financial services, banking, health care, federal and pharmaceutical, legal, insurance, and retail. This helps in the protection of data related to intellectual property in multiple industries.