Regulatory obligations, historical test data, data mapping rules, and system knowledge — captured, structured, and always current. Knowledge Base is where quality intelligence starts — the memory layer underneath the rest of the T-Sigma Suite, so what your domain experts, business analysts, and engineers know doesn't leave when they do.
Every organization has one or two people who "just know" why a system works the way it does — which regulatory clause drove a validation rule, which legacy field maps to which new one, why a test was written the way it was. That knowledge normally lives in spreadsheets, Slack threads, and memory. It doesn't survive a resignation, a reorg, or eighteen months.
Knowledge Base exists to make that knowledge structural instead of tribal — captured once, connected to the systems and requirements it relates to, and queryable by anyone on the team (and by the rest of the T-Sigma Suite) going forward.
For regulated institutions, "we didn't know that rule changed" is not an acceptable answer to an auditor. Knowledge Base monitors sector-specific regulatory feeds — for credit unions, that includes NCUA and CFPB — and links relevant changes directly to the systems, requirements, and test cases they affect, instead of relying on someone to notice a bulletin.
Core system migrations and platform modernizations live or die on the accuracy of data mapping and transformation rules. Knowledge Base includes a staged validation pipeline purpose-built for this — parsing transformation rules, validating staging databases, and catching mapping errors before they propagate into production data.
Requirements documents and user stories are only useful if someone checks them against what's actually been built and tested. Knowledge Base generates user stories with gap analysis attached — surfacing where a requirement has no corresponding test coverage or where coverage exists but the requirement has since changed.
Knowledge Base isn't a destination you have to remember to visit. It integrates with Azure DevOps, Jira, GitLab, and GitHub, so captured knowledge stays attached to the tickets, stories, and repositories your team already lives in.
Underneath the integrations and feeds sits a purpose-built schema designed specifically for organizational knowledge capture — regulations, requirements, test history, data mappings, and the relationships between them, structured so they can be queried and reasoned over, not just searched by keyword.
A wiki stores documents. It doesn't know how they relate to each other, and it goes stale the moment someone stops updating it.
Knowledge Base structures knowledge into a queryable graph, connected to live regulatory feeds and your actual DevOps tools — so it stays current by design.
Most engagements begin by ingesting existing documentation, tickets, and test history — so Knowledge Base starts useful on day one instead of waiting for a knowledge base to be built from scratch.
NCUA and CFPB feed changes get linked automatically to the systems and requirements they touch — so compliance teams aren't relying on someone spotting a bulletin.
Core system migrations get a staged validation pipeline for transformation rules and staging databases — catching mapping errors before they hit production.
Requirements, regulations, and test history stay connected to the Azure DevOps, Jira, GitLab, or GitHub tickets your team already works in every day.
Start by connecting your existing documentation, tickets, and test history — see what Knowledge Base surfaces in the first week.
See Knowledge Base in ActionKnowledge Base feeds Test Studio's agents the regulatory and system context they need to generate coverage that reflects what actually matters.
Knowledge Base keeps your regulatory context current. Attest independently certifies the AI agents built on top of it — behavior, safety, and regulatory fit.