Advisory and a working reference platform for data governance, AI governance, and trusted-data measurement — built for a world where agents query your data as often as people do.
Hours lost every week re-explaining, reconciling, and re-typing data that should have meant the same thing the first time it was recorded.
The people best qualified to vouch for a dataset are also the busiest — so validation waits in a queue, or never happens at all.
Contracts, ownership, and a shared glossary — the rules of the road for every dataset you run.
Learn more →Decide what your agents can see, query, and act on — before they decide it for themselves.
Learn more →A six-pillar score that turns “our data's fine” into a number you can defend to the board.
Learn more →Score the estate against six trust pillars before anything is proposed.
Data contracts, glossary, ownership, and entry-gate rules.
On your stack, or on FiduLock as the reference platform.
Recurring scorecards so trust stays a monitored metric.
FiduLock defines what trusted data means field by field, gates every access request in real time for people and agents alike, and keeps a tamper-evident record of every decision. Available to license.
Request a FiduLock demo“35 years in enterprise data, analytics, and governance — including two decades leading large-scale data transformation inside a global financial institution. Nuchter by principle: pragmatic, no-nonsense, work smart, not hard.”
A Trusted Data Assessment scores your data estate against six measurable pillars — no assumptions, no adjectives.
Book a Trusted Data Assessment