Authorization is continuous, not a login-time event

Transfer, termination, project removal, and classification changes can invalidate access during a long conversation. Disabling a member record is insufficient when tools and derived results retain the previous scope.

Re-evaluate access on read, follow-up, export, and share, and define a propagation objective and failure policy rather than waiting for tokens to expire.

Map the dependency graph

Include identity provider, organization role, project policy, database credential, row and column rules, agent, conversation, job, cache, report, share, and export. Record ownership and revocation mechanism at every node.

Derived copies are common gaps. Files that cannot be recalled need minimization, encryption, expiry, approval, and an explicit residual-risk statement.

Version identity and policy events

A change event needs actor, subject, organization, project, old and new policy, effective time, and immutable identity. Requests retain the policy version used for the decision.

Consumers must handle duplicate and out-of-order events idempotently. Failed critical revocation enters an alert and compensation queue rather than leaving stale access indefinitely.

Combine token controls with server-side policy

Short tokens reduce exposure but do not provide immediate revocation. High-risk termination or compromise needs session and refresh-token invalidation plus server-side authorization state.

A token carrying a role snapshot can be compared with current policy version. Choose availability behavior by data risk, not one global setting.

Cancel or re-authorize in-flight work

Queued and running queries can return after revocation. Locate jobs by actor and scope, cancel high-risk work, or re-authorize before result persistence.

Asynchronous retrieval must also check current access. Store result owner, scope, policy version, classification, and expiry instead of relying on an irrevocable URL.

Sanitize conversations and retrieval memory

Retain non-sensitive question structure where permitted, but hide or remove values, charts, and samples outside the new scope. A follow-up must query under current authorization rather than repeat old context.

Summaries and vector indexes may contain derived facts. Track classification and lineage so deleting a visible message is not mistaken for full revocation.

Scope caches by policy and data version

A secure key includes normalized request, organization, project, scope, policy version, semantic version, and watermark. Sensitive results may disable shared caching.

Invalidate by subject or policy, or make old entries unreachable through version mismatch. Current authorization is still checked on cache hit.

Control shares and exports independently

Bind shares to authenticated recipients, scope, and expiry, and re-authorize on open. Exports need classification, watermark, download audit, and approval where appropriate.

A downloaded file may be technically irretrievable. State that boundary and minimize before export instead of promising universal recall.

Exercise failure and measure propagation

Test termination, transfer, private-project removal, narrower columns, and service-account compromise across new requests, old follow-ups, jobs, caches, shares, and downloads.

Inject identity outage, event delay, and invalidation failure. Measure P95 revocation, stale-policy requests, cancellation, cache isolation, and unowned artifacts.

Implementation boundary for AskTable.ai

Identity, project, platform, and security owners need explicit responsibilities and escalation. A main-page 403 alone is not acceptance.

AskTable.ai organization, project, and data scope can be evaluated as a starting point, while session revocation, cancellation, cache, share, and export behavior require current-version verification.

Public references

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