caseontology.org

What It Is

CASE (Cyber-investigation Analysis Standard Expression) is a community-developed and continuously evolving standard for representing digital evidence and cyber-investigation information. It is not a direct protection product like a firewall, EDR, or SIEM, but an ontology-based common language for describing data commonly encountered during investigations, tool outputs, analysis results, and relationships between objects. Its goal is to help different tools, systems, and organizations exchange and interpret investigation information.

Core Capabilities and Deployment Integration

In terms of security category, CASE is closer to a cybersecurity forensics and investigation data standard. Its core value lies in normalizing multi-source information into structured graph data that can be correlated and verified, supporting investigation questions such as who, when, for how long, and where. It uses RDF, with JSON-LD as the default format in examples and tools, while noting support for other serializations. Deployment is mainly through integration into existing tools or platforms: developers map their own data models to CASE, then convert data through import/export functions. The documentation also mentions that CASE can work with digital evidence storage containers such as AFF4, but it does not replace disk images or evidence containers.

Management, Provenance, and Compliance

CASE’s standout capability is provenance tracking: recording who performed which investigative action, when and where, using which tool, against which data source, and what results were produced. This is critical for digital chain of custody and forensic use in legal contexts. It also supports data marking, including classification markings and object-level granular markings. However, the documentation does not provide any compliance certifications, audit certifications, or enterprise compliance endorsements, nor does it include operational features such as alerting, response orchestration, or a permission-management console.

Pricing, Pros and Cons, and Target Users

The documentation does not include commercial pricing information. The website provides documentation, examples, an FAQ, GitHub repositories, libraries, and downloads, presenting CASE overall as an open community standard. Its strengths include strong semantic expressiveness, solid cross-system exchange capabilities, robust provenance design for chain of custody, and the ability to handle complex objects through Facets and duck typing. Its drawbacks are a relatively high implementation threshold, requiring an understanding of RDF/JSON-LD and ontology modeling. It is also not an out-of-the-box product and cannot directly provide detection, protection, or alerting.

Access from China and Alternatives

Access from China is not discussed in the documentation, so the availability of the website, GitHub resources, and mailing lists would need to be tested directly. Payment information is also unavailable. If the goal is threat intelligence exchange, STIX/TAXII may be worth considering. For describing digital forensics data, UCO, DFXML, or the data formats of specific forensics platforms can be compared. CASE is better suited to forensics tool vendors, laboratories, law-enforcement and judicial technical teams, and organizations that need to share investigation data across institutions.