FUURAA AI Evidence Atlas · Evidence dossier 01
Standards for verifiable identity, delegated authority and selective disclosure are emerging, while research is showing that long-term memory requires temporal, relational and contradiction-aware reasoning. A complete, portable and accountable continuity layer has not yet been demonstrated across organisations and tools.
An agent that remembers, acts and represents a person or organisation needs more than a login. Identity must say who or what is acting; authority must say what it may do; memory must preserve useful context; and all three must remain reviewable, revocable and proportionate.
This dossier examines technical and governance evidence for agent credentials, delegated authority, long-term memory, provenance, consent, revocation and cross-system continuity. It does not claim that FUURAA has completed such an infrastructure.
The direction is visible, but the evidence base, operating history or independent validation remains incomplete.
This evidence dossier synthesises public records. It is not investment, medical, legal or safety certification advice, and it does not claim that FUURAA has completed the systems discussed.Claim-to-evidence map
Primary evidence records
NIST's concept work applies identity standards and authorization practices directly to software and AI agents that access data, tools and applications.
FUURAA interpretationAn agent should be identifiable independently from its user, model provider and runtime so responsibility can be traced precisely.
Agent autonomy creates a difference between authenticating an actor and deciding what that actor may do on another party's behalf.
FUURAA interpretationFuture systems should encode scope, duration, resource limits, revocation and escalation into every delegation.
Credential systems can be designed so a holder proves a relevant attribute without sharing an entire underlying identity record.
FUURAA interpretationAgents may demonstrate authority or eligibility while minimizing personal and enterprise information revealed to counterparties.
SubtleMemory tests whether agents distinguish complementary, nuanced and contradictory memories instead of retrieving isolated similar passages.
FUURAA interpretationMemory stores should represent relationships among records, not only vector proximity.
Persistent assistants accumulate records that may diverge as people, plans and circumstances change.
FUURAA interpretationMemory systems should preserve versions, provenance and unresolved conflicts until a trusted process resolves them.
Central connector registries can determine which agents reach which systems and under what administrative policy.
FUURAA interpretationOrganizations may manage agent connectivity like identity infrastructure: inventoried, approved, monitored and revocable.
Testable questions
Can an independent verifier reconstruct an agent’s authority chain and detect expired or excessive permissions?
Does contradiction-aware memory improve decisions on long-running tasks without materially increasing sensitive-data retention?
Can a person revoke a delegated capability and observe that revocation across every connected tool?
Decision relevance
Research: evaluate memory through downstream decisions, provenance and correction—not recall alone.
Engineering: separate identity, authority, memory and connector policy so each can be inspected and revoked.
Governance: require visible consent, purpose limitation, retention boundaries and incident-ready audit records.
Related FUURAA analysis
W3C’s Verifiable Credentials Data Model 2.0 provides an open framework for cryptographically verifiable claims—an important building block for future trust among people, organisations, devices and AI Agents.
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MELODI explores layered memory compression for long contexts, offering a research path toward systems that preserve useful information over time without retaining every detail at equal cost.
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NIST’s 2026 AI Agent Standards Initiative puts interoperability, open protocols, security and agent identity at the centre of trusted adoption.
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Singapore’s updated governance framework combines risk boundaries, human accountability, technical controls and transparency with practical deployment cases.
↗Revision record
Version 1.0 establishes the initial public synthesis. Future revisions will record changes in evidence position, sources, scope and unresolved questions. Earlier records are not silently erased.
Corrections, missing primary evidence and material counter-evidence can be submitted through the FUURAA contact route. Inclusion is subject to source verification and editorial review.Continue through the Evidence Atlas