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frameworkId
string | frameworkName
string | description
string | stages
sequence | version
string | totalRisks
int64 | totalControls
int64 | path
string |
|---|---|---|---|---|---|---|---|
cis-2.0-gcp | CIS 2.0 Google Cloud Platform Foundations Benchmark | Configuration guidelines for GCP to help improve the security of their systems. | [
"Identity and Access Management",
"Logging and Monitoring",
"Networking",
"Virtual Machines",
"Storage",
"Cloud SQL Database Services",
"BigQuery"
] | 1.0 | 9 | 84 | ./frameworks/cis-2.0-gcp/framework.json |
cis-2.1-azure | CIS 2.1 Microsoft Azure Foundations Benchmark | Configuration guidelines for Microsoft Azure to help improve the security of their systems. | [
"Identity and Access Management",
"Microsoft Defender",
"Storage Accounts",
"Database Services",
"Logging and Monitoring",
"Networking",
"Virtual Machines",
"Key Vault",
"AppService",
"Miscellaneous"
] | 1.0 | 10 | 149 | ./frameworks/cis-2.1-azure/framework.json |
cis-3.0-aws | CIS 3.0 Amazon Web Services Foundations Benchmark | Configuration guidelines for AWS to help improve the security of their systems. | [
"Identity and Access Management",
"Storage",
"Logging",
"Monitoring",
"Networking"
] | 1.0 | 8 | 62 | ./frameworks/cis-3.0-aws/framework.json |
cis-3.0-gcp | CIS 3.0 Google Cloud Platform Foundations Benchmark | Configuration guidelines for GCP to help improve the security of their systems. | [
"Identity and Access Management",
"Logging and Monitoring",
"Networking",
"Virtual Machines",
"Storage",
"Cloud SQL Database Services",
"BigQuery",
"Dataproc"
] | 1.0 | 10 | 84 | ./frameworks/cis-3.0-gcp/framework.json |
dasf | Databricks AI Security Framework (DASF) | The Databricks AI Security Framework (DASF) is a comprehensive guide developed by the Databricks Security team to help organizations understand and mitigate the evolving security risks associated with the widespread integration of artificial intelligence (AI) systems. Unlike approaches that focus solely on securing models or endpoints, the DASF adopts a holistic strategy to address cyber risks across all components of an AI system. The framework is designed to facilitate collaboration between business, IT, data, AI, and security teams throughout the AI lifecycle. It provides actionable defensive control recommendations that can be updated as new risks emerge and additional controls become available. The DASF walks readers through the 12 foundational components of a generic data-centric AI system, detailing 55 identified technical security risks and dedicated controls to mitigate those risks. It also includes a guide on how to manage and deploy AI models safely and securely using the Databricks Data Intelligence Platform. The framework aims to be a valuable resource for security teams, ML practitioners, and governance officers to gain insights into AI system security, apply security engineering principles to ML, and access a detailed guide for understanding the security and compliance of specific ML systems. | [
"Data Operations",
"Model Opertions",
"Model Deployment and Serving",
"Operations and Platform"
] | 1.0 | 55 | 53 | ./frameworks/dasf/framework.json |
eqty-db-lock | EQTY Life Sciences Database Lock Framework | Database Lock framework for EQTY Life Sciences | [
"Planning",
"Data Management",
"Statistics",
"Admin"
] | 1.0 | 16 | 16 | ./frameworks/eqty-db-lock/framework.json |
eqty-qc-programming | EQTY Life Sciences QC Programming Framework | Quality Control programming framework for EQTY Life Sciences | [
"Programming",
"Validation"
] | 1.0 | 12 | 12 | ./frameworks/eqty-qc-programming/framework.json |
euai | EU AI Act (EUAI) | The European Union's (EU) Artificial Intelligence (AI) Act is a regulation that aims to balance innovation with ethical and responsible use of AI technologies. | [
"Oversight",
"Development",
"Deployment",
"Documentation"
] | 1.0 | 16 | 465 | ./frameworks/euai/framework.json |
haiai | Human-Centered Artificial Intelligence Framework (HAIAI) | Human-Centered Artificial Intelligence (HAI) is a research institute and approach to AI development that prioritizes the needs of human users. HAI aims to create AI systems that are ethical, understandable, and designed to enhance human capabilities rather than replace them. | [
"Fairness",
"Data Governance",
"Transparency and Explainability",
"Reliability",
"Security"
] | 1.0 | 26 | 61 | ./frameworks/haiai/framework.json |
nist | NIST SP 800-53 Rev 5 Framework (NIST) | NIST Special Publication 800-53, Security and Privacy Controls for Information Systems and Organizations, is a cybersecurity standard and compliance framework developed by the National Institute of Standards and Technology (NIST). It's a catalog of security and privacy controls that helps organizations develop secure information systems. The framework is continuously updated to define standards, controls, and assessments based on risk, cost-effectiveness, and capabilities. | [
"AC",
"AT",
"AU",
"CA",
"CM",
"CP",
"IA",
"IR",
"MA",
"MP",
"PE",
"PL",
"PM",
"PS",
"PT",
"RA",
"SA",
"SC",
"SI",
"SR"
] | 1.0 | 20 | 1,007 | ./frameworks/nist/framework.json |
sat | Databricks Security Analysis Tool (SAT) | Security Analysis Tool (SAT) analyzes a Databricks account and workspace security configurations and provides recommendations that help them follow Databrick's security best practices. The SAT framework compares a workspace configurations against the set of security best practices. | [
"Network Security",
"Informational",
"Data Protection",
"Governance",
"Identity & Access"
] | 1.0 | 5 | 76 | ./frameworks/sat/framework.json |