Reliable Context

Sanctions screening splits into name matching, identity and ownership aggregation. A worked example of the OFAC 50 Percent Rule and the EU approach.

RDF, property graph or relational tables for an enterprise knowledge graph, compared on statement provenance, merging, standards and query.

NIST AI RMF 1.0 read as an evidence plan: the four functions, the trustworthiness characteristics, where provenance appears, and the records each needs.

NIST AI 600-1 lists 12 generative AI risks. How its confabulation, information integrity and value chain actions map to records you can show.

SR 26-2 replaced SR 11-7 in April 2026 and excludes generative AI; OSFI E-23 covers AI/ML from May 2027. What that means for LLM and RAG systems in banks.

MCP's hosts, clients, servers, tools, resources and prompts under the stateless 2026-07-28 revision, with a JSON-RPC example and its gaps on provenance.

How the OpenLineage spec models runs, jobs, datasets and facets, with a sample RunEvent, the run cycle, PROV mapping and the limits of job-level lineage.

How PCAOB AS 1105 and AS 2201 treat information produced by the company: accuracy, completeness, precision, report logic and the controls behind them.

MCP security against spec 2026-07-28: confused deputy, token passthrough, SSRF, state handles, tool poisoning, trust boundaries, review checklist.

How GLEIF Level 2 records direct and ultimate accounting-consolidating parents, what reporting exceptions mean, and how to relate entities without merging.

A minimum event model for AI agent logs: context items, tool calls, results and human actions, referenced by ID and version, mapped to OpenTelemetry GenAI.

What master data management is, how hubs match and merge records, and why a golden record rarely shows which source said what, when, and who disagreed.

What ISO/IEC 42001 requires of an AI management system: clause structure, impact assessment, documented information, certification, and audit evidence.

How ICH E6(R3) section 4 treats data governance: the data life cycle, audit trails, source records, certified copies and computerised systems in trials.

What the Mata v. Avianca sanctions opinion and two empirical studies show about fake case citations, and three controls that keep them out of a filing.

What Delta Lake and Apache Iceberg time travel reproduce, how VACUUM and snapshot expiry bound it, and what to add for actor, reason, source, valid time.

How FDA's February 2026 CSA guidance, GAMP 5 and EU Annex 11 scale validation to risk, what evidence data systems need, and where teams over-document.

How GDPR Article 5(1)(d) applies to hallucinated personal data: the EDPB ChatGPT Taskforce, the noyb complaints, ICO guidance, and the controls that help.

A worked Fellegi-Sunter example: m and u probabilities, agreement and disagreement weights, prior, match probability, thresholds and clerical review.

FDA's AI credibility framework, context of use and model risk, the EMA reflection paper and the joint 2026 principles, read for data traceability.

Entity resolution in five stages (standardize, block, compare, classify, cluster): what fails at each, with a worked Fellegi-Sunter scoring example.