Zero Trust Identity Context Propagation Code Dataset

#Code verification #Defect detection #Root-cause analysis #Identity context validation #Zero trust access control #Authentication flows #Policy enforcement audits #Security code review

6407
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

This dataset contains source code that passes authentication results, user attributes, device posture, and session context between zero trust access components, accompanied by structured context extraction, transfer traces, integrity checks, and issue annotations. It focuses on failure cases such as lost context, confused fields, stale state, and unverified claims, supporting checks that identity information used in access decisions is complete, trustworthy, and correctly propagated. It is suitable for code verification, security review, defect localization, and root-cause analysis across zero trust access flows.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
source_code	string	The original source code text that records identity context propagation between zero trust components.
code_language	string	The programming language inferred from the source code syntax and file characteristics.
issue_annotations	array	Annotations of defects and risks identified in the source code and its context propagation logic.
context_validation	object	An assessment of whether the identity context required for access decisions is complete, unambiguous, current, and trustworthy.
context_transfer_trace	array	The transfer path of identity context across authentication, policy, and access components.
access_decision_dependency	object	The identity context fields on which access decisions depend and their assessed trustworthiness.
extracted_identity_context	object	Authentication results, user attributes, device posture, and session context parsed from the source code.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: It includes source code that passes authentication results, user attributes, device posture, and session context between zero trust components. Structured information includes extracted identity context, transfer traces, integrity checks, issue annotations, and access decision dependencies.

Which issues does the dataset focus on?: It focuses on failure cases that can affect access decisions, including lost context, confused fields, stale state, and unverified claims. The data can help examine propagation and validation logic across authentication, policy, and access components.

How can I obtain the data, and what is it suitable for?: Refer to the dataset listing or delivery documentation for the available access method. The data is suitable for zero trust access code verification, security review, identity context integrity assessment, and defect root-cause analysis. The exact fields and file organization depend on the delivered version.

What licensing information should I check before use?: Before using or sharing the data, review the license, usage restrictions, and any source code licensing requirements listed on the dataset page. Confirm that you have the necessary rights before using it in a commercial project, redistributing it, or publishing analysis results.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={Zero Trust Identity Context Propagation Code Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/7105110bc7bd3c35c1b573a6fe8f0244},
  urldate={2026-10-27},
  keywords={zero trust code dataset,identity context propagation,zero trust access control,authentication code,access decision validation,code defect detection,context integrity,security code review},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Scene

Domain

Modality

Task