Security Framework Data
Security frameworks, policies and procedures are often published as PDFs and spreadsheets. We turn them into structured, queryable, machine-readable data, ready for automation, analysis, and AI consumption.
Structured Framework Data
Security frameworks are published as PDFs and spreadsheets. We parse, normalise, and structure them into queryable data, complete with dependency relationships, implementation sequencing, and cross-references that the source documents bury in footnotes.
The result: instead of manually reading through hundreds of pages to figure out what depends on what, you query an API that tells you which controls are foundational, which build on them, and in what order to implement.
This is what we mean by data driven. The structure was always there. We extracted it and made it usable.
Dependency-aware sequencing
Know which controls to implement first based on what other controls depend on them, not based on document order.
Multi-dimensional filtering
Query by implementation group, security function, asset class, or any combination. Get exactly the subset you need.
AI and automation ready
Structured, machine-readable data that feeds directly into automated compliance assessment and AI-assisted planning.
Multi-dimensional filtering
Search across Implementation Group, Security Function, Asset Class, and free text simultaneously.
Dependency visualisation
See which safeguards depend on a given control and which ones it requires. Navigate the dependency chain interactively.
Smart sorting
Sort by number, dependencies, title, security function, or asset class.
Framework Explorer
An interactive web application for navigating security frameworks and their relationships. Browse controls, drill into safeguards, and see the dependency chains that most implementations miss.
Designed for security practitioners and implementation leads who need to understand not just what to implement, but in what order and why. The explorer surfaces the foundational controls that the rest of a framework depends on.
Cross-Framework Mapping
Security frameworks overlap, but rarely in the ways vendors claim. We analyse frameworks like NIST CSF 2.0, NIS2, ISO 27001, and DORA at the structural level, validate existing mappings against actual requirements, and build verified alignment datasets that connect governance intent to technical implementation.
Framework analysis
Deep structural analysis of published security frameworks. Identifying requirements, dependencies, and implementation sequences that the documents themselves do not make explicit.
Mapping validation
Existing cross-framework mappings are often assumption-based. We verify them against source requirements and document where they hold and where they break.
Governance to technical
Bridging the gap between regulatory requirements and operational controls. Implementation work informed by governance intent, governance reporting grounded in technical reality.
Data quality
Every mapping starts with source validation. Structural inconsistencies, errata, and formatting issues are documented and reported before building on top of them.
charprism
Advanced text analysis tool for identifying Unicode blocks and invisible characters. Detect non-standard characters, hidden Unicode, and encoding anomalies in any text input.
Useful for security analysis, data quality assurance, and content validation. Anywhere hidden characters could introduce risk or inconsistency.
Launch charprismUnicode block detection. Character-level text analysis.
Compliance data should be structured, not assumed
Interested in API access, the framework mapping dataset, or integrating structured compliance data into your security tooling?
Get in touch