Remove tag security-rule
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Newly Proposed SEC Cybersecurity Risk Management and Governance Rules and Amendments for Public Companies

Data Matters

Securities and Exchange Commission (SEC) proposed new cybersecurity rules to enhance and standardize disclosures regarding cybersecurity risk management, strategy, governance, and incident reporting by public companies. The text of the proposed rules is available here. On March 9, 2022, the U.S.

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Why is data governance important?

Collibra

Data governance is important because it brings meaning to an organization’s data. Why is data governance important? Data governance is about managing data and processes so data can be used as a consistent, secure and organized asset that meets policies and standards. What are the benefits of data governance?

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Data management sets the next phase of zero-trust

Collibra

Zero trust, a government wide initiative Zero-trust was originally introduced as a network-based architecture mode, which centralized on identity and multi-factor authentication. This model gained popularity in the industry with many vendors positioning their technology products as zero-trust solutions.

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The importance of data governance

Collibra

Data governance is important because it brings meaning to an organization’s data. Why is data governance important? Data governance is about managing data and processes so data can be used as a consistent, secure and organized asset that meets policies and standards. What are the benefits of data governance?

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SEC Proposes Cybersecurity Rules for Public Companies

Hunton Privacy

On March 9, 2022, the Securities and Exchange Commission (“SEC”) held an open meeting and proposed new cybersecurity disclosure rules for public companies by a 3-1 vote. In proposing the rules, the SEC hopes to improve the consistency and comparability of cybersecurity disclosures among public companies. Key Definitions.

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What is metadata management and why is it important?

Collibra

Business Metadata: Defines everyday business terms, such as table and column definitions, business rules, data sharing rules and data quality rules. Increasing need for data governance, regulatory and compliance requirements and data enablement. Business rules with visibility and the ability to identify exceptions.

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Data privacy examples

IBM Big Data Hub

This example illustrates three core components of common data privacy frameworks: Complying with regulatory requirements : By letting users granularly control how their data is processed, the app complies with consent rules that are imposed by laws like the California Consumer Privacy Act (CCPA). The price tag can add up quickly.