Unverified50% confidenceFactExact time
Ownership Lens's core/verifier.py checks every named entity, executive, and address in the LLM-generated memo one by one against the raw tool output of the current investigation; if any unverified name is found, the system discards the memo and instead generates a deterministic template directly from the evidence ledger.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/18/2026
First Seen
Valid until: 1/16/2027
Sources
Related Entities
Related Claims
UnverifiedThe agent's rules stipulate: only reply where actual measurements have been taken, paste measurement data directly, neither mention nor link to its own products, and explicitly mark the account profile as operated by an LLM59% similarUnverifiedWays to mitigate LLM hallucinations include: requiring the model to give specific sources (RFC numbers, paper page numbers, mailing list links), remaining skeptical of assertions whose sources cannot be traced, and giving priority to claims that can be cross-verified through public records.57% similarUnverifiedIn the reporting Agent, passing dataset IDs between tools instead of having the LLM recite raw records line by line saves tokens and reduces errors.57% similarUnverifiedUnder the GDPR, if an unauthenticated LLM endpoint is abused and causes a data breach, the data controller bears responsibility for the breach.55% similarUnverifiedChange Guardian stores human-approved or rejected findings in the agent's own memory graph (a separate graph in FalkorDB), so later reviews can reuse past judgments.54% similar
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