Most enterprise agents do not fail loudly. They drift. AttestDB turns policies, tickets, documents, and prior work into a claim system agents can rely on, with traceability, contradictions, timestamps, and corrections built in.
A policy changes and the agent keeps using the old version. Two sources disagree and it picks one at random. A document turns out to be wrong and downstream answers stay wrong. There is no clean audit trail for why an answer was given.
Retrieval is not the same as correctness. Without explicit time and source handling, stale answers keep surfacing.
Most systems collapse disagreement into one output, hiding exactly the risk you need to inspect before automation.
One wrong or outdated source can feed many answers if dependencies are never tracked.
When a decision matters, you need statement, source, timestamp, and confidence in the data model itself.
AttestDB stores knowledge as claims. Each claim is a statement with a source, timestamp, and confidence. That changes what your agent can do after retrieval.
Answers stay grounded in specific claims and sources instead of a blob of retrieved text with unclear lineage.
Conflicting claims coexist and remain inspectable until evidence resolves the disagreement.
When a source is updated or invalidated, dependent claims and downstream answers can be flagged or corrected.
The system optimizes for correctness over time, not just access to more text.
Instead of copying forward old answers, ingest prior questionnaires and policies, extract claims, and answer from sourced knowledge.
Manual copy and paste from prior responses. Inconsistent answers. Stale policy references. No traceability.
Ingest policies and prior responses. Build a claim-based knowledge system. Answer with citations. Update or flag answers when policy evidence changes.
The product value is not the first answer. It is what happens after the answer when reality changes.
Traditional databases, vector databases, and graph databases can all store facts. They do not make source tracking, contradiction handling, retraction, and time awareness the primitive.
| Capability | Traditional DBs | Vector DBs | AttestDB |
|---|---|---|---|
| Source tracking | No | Partial | Yes |
| Contradictions | No | No | Yes |
| Retraction | No | No | Yes |
| Time awareness | Limited | No | Yes |
| Confidence | No | No | Yes |
AttestDB gives you the storage primitive for sourced, changing, contradictory knowledge. That is what enterprise agents actually need underneath them.