Safety engineering

CAISAR

Evidence strength: Moderate 0 cited · 1 literature · 1 analyst How this is scored

CEA List open-source platform (CAISAR 6.0, June 2026) for characterizing AI safety and robustness. WhyML specifications discharged by PyRAT, Marabou, nnenum, alpha-beta-CROWN and others. Examples include functional properties of ACAS Xu.

Certification evidence

0 cited mappings · 1 cited-literature paper · 1 analyst assessment across 2 frameworks. Counts are public. Requirement labels and quotes stay on Pro.

Cited literature: 1 DO-178C / related aerospace guidance requirement — see which with Pro

Analyst assessment: 1 NIST AI RMF function or subcategory — see which with Pro

Certification relevance. peer-reviewed or agency literature maps it to DO-178C / related aerospace guidance (1 requirement).

Cited literature: The CAISAR Platform: Extending the Reach of Machine Learning Specification and Verification (iFM 2025, 2025) — a named DO-178C / related aerospace guidance requirement.

Paper or report · The quoted wording is Pro.

Listing detail and source evidence (Pro)

Included on Pro, Team and Enterprise. Public summaries, tags and official links on this page stay free.

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Cited literature and analyst assessments (Pro)

Included on Pro, Team and Enterprise. Public summaries, tags and official links on this page stay free.

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Procurement evidence pack (Pro) — print cited mappings and analyst notes. The print view is not on this page.

Vendor / publisher
CEA List
Type
Open source
Official site
https://caisar-platform.com/
Industries
Frameworks named on cited source
None tagged. The cited pages do not name a framework we cover.
Last verified

Listing is not an endorsement, certification or recommendation. Capabilities, availability and framework support can change. Confirm with the vendor and the relevant authority. See the disclaimer.