Difference between revisions of "OSCAL"

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| Purpose || Automates security assessments & compliance || Defines rules & regulations in natural language|| A machine-readable version of policy that allows automated compliance and enforcement.
 
| Purpose || Automates security assessments & compliance || Defines rules & regulations in natural language|| A machine-readable version of policy that allows automated compliance and enforcement.
 
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| Format || Machine-readable (XML, JSON, YAML) || Text-based legal or regulatory documents || Machine and Human readable
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| Format || Machine-readable (XML, JSON, YAML) || Text-based legal or regulatory documents || Aspires to be Machine and Human readable
 
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| Use Case || Security frameworks like FedRAMP, NIST RMF || Government laws, corporate policies || Applied in cybersecurity, AI governance, financial regulations, and digital governance.
 
| Use Case || Security frameworks like FedRAMP, NIST RMF || Government laws, corporate policies || Applied in cybersecurity, AI governance, financial regulations, and digital governance.

Revision as of 13:40, 9 June 2025

Definition

OSCAL (Open Security Controls Assessment Language) is not a policy language in the traditional sense, but rather a machine-readable framework designed to standardize and automate security and compliance assessments2.

Operation

Structured Data Formats – Uses XML, JSON, and YAML to represent security controls and compliance information.

Automation & Risk Management – Helps organizations streamline security assessments and reduce manual compliance efforts.

Interoperability – Enables different tools and systems to exchange security control data efficiently.

Difference Between OSCAL & Policy Languages

Aspect OSCAL Traditional Policy Language Rules as Code
Purpose Automates security assessments & compliance Defines rules & regulations in natural language A machine-readable version of policy that allows automated compliance and enforcement.
Format Machine-readable (XML, JSON, YAML) Text-based legal or regulatory documents Aspires to be Machine and Human readable
Use Case Security frameworks like FedRAMP, NIST RMF Government laws, corporate policies Applied in cybersecurity, AI governance, financial regulations, and digital governance.
Automation Supports automated compliance verification Requires manual interpretation & enforcement Eliminates all intermediate layers

While OSCAL does not define policies, it translates security controls into structured formats, making compliance more efficient and scalable.

References