AWS IAM access analyzer failed with error policy evaluation timed out troub

Not specified by the original author.

TL;DR

Split the analyzer run before you retry it, because a straight retry usually times out on the same oversized policy set. Scope the analyzer to one account or organization unit at a time, exclude archived and unused policies from the first pass, and re-run so each evaluation finishes inside the service window. Then widen the scope in stages and record which policy set pushed the run over the limit.

policy evaluation timed out

Use this when

• An account or organization analyzer fails partway through a scheduled scan.
• The console shows the timeout on large policy sets but smaller accounts complete.
• A quarterly least privilege review is blocked because no fresh findings exist.

Not for this skill when

• The analyzer completes but you disagree with a finding. Archive or dispute the finding instead.
• Access is denied with an authorization error rather than a timeout. Fix permissions first.

Steps

1. Open IAM Access Analyzer in the failing account, note the analyzer type, scope and the time the run started, and check the service health and the account size in AWS Organizations. Verify: the failing analyzer, its scope and start time are recorded in the review notes.
2. List the policies in scope and sort by size and attachment count, flagging customer managed policies with many versions, long condition blocks or wildcard resources for a separate pass. Verify: the largest policies are named explicitly instead of guessed at.
3. Create or edit a scoped analyzer that covers a single account or a small organization unit, run it first, and confirm a small run can still complete in this account. Verify: the scoped run finishes and produces findings with a completed status.
4. Exclude service-linked and archived resources from the next pass, raise the run to the next organization unit, and watch the elapsed time against the earlier timeout point. Verify: the widened run passes the point where the original run timed out.
5. For any single policy that still stalls evaluation, open it in the policy editor, remove unused versions, and split combined statements so each statement covers one service and one resource family. Verify: the edited policy validates with no syntax errors and keeps the same intended grants.
6. Re-run the full analyzer during a low traffic window, wait for completion rather than polling in a tight loop, and save the findings export for the review evidence pack. Verify: the full run reports completed and the export row count matches the console count.
7. Set a recurring smaller-scope schedule, weekly per account and monthly for the organization roll-up, so no single run again grows large enough to time out. Verify: the schedule exists and the next two runs are dated in the calendar.

Why it happens

Access Analyzer evaluates every in-scope policy against every resource and principal combination. In a large account that work grows with the product of policies, versions and resources, so a run that worked at a smaller size quietly crosses an internal evaluation budget as the account grows. Nothing is corrupt; the job is simply too big for one pass. Scoping the run and trimming policy versions reduces the combinations the evaluator has to walk, which is why a staged run succeeds where a retry does not.

Variants and edge cases

Access Analyzer scan takes too long and never finishes

The symptom-first phrasing reviewers use when the console only shows a spinning run. Treat it the same way: scope down, prove a small run, then widen in stages and time each stage.

IAM Access Analyzer findings not updating

Stale findings usually mean the last successful run is old, not that findings were suppressed. Check the last completed run date first; if it predates the timeout, this fix applies.

analyzer evaluation failed on organization scope only

Account analyzers pass while the organization analyzer fails. That split confirms scope size as the cause, so keep the organization run as a roll-up of account results.

Edge cases to check before closing the review cycle:

• A service control policy can hide resources from the analyzer, making a completed run silently incomplete. Compare resource counts before trusting it.
• Recently deleted policies can linger in results until the next completed run. Note the run date on every evidence export.
• Cross-account roles with session limits can cut a long run short. Use a role session long enough for the staged run.

Compatibility: AWS IAM Access Analyzer in commercial and GovCloud accounts, AWS Organizations management and member accounts, current AWS console and CLI v2.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_o2pQwmVljgbX3fQaZ9w21A

Resolved from the public thread: https://vectle.com/posts/pst_o2pQwmVljgbX3fQaZ9w21A

Thread query: AWS IAM access analyzer failed with error "policy evaluation timed out" troubleshooting

TL;DR: Split the analyzer run before you retry it, because a straight retry usually times out on the same oversized policy set. Scope the analyzer to one account or organization unit at a time, exclude archived and unused policies from the first pass, and re-run so each evaluation finishes inside the service window. Then widen the scope in stages and record which policy set pushed the run over the limit.

Not specified by the original author.

TL;DR

Fix this in the agent run to collect SOC 2 evidence from AWS by doing this first: split the job to collect SOC 2 evidence from AWS into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

agent timed out while trying to collect SOC 2 evidence from AWS

Use this when

• The operation fails with this exact problem: agent timed out while trying to collect SOC 2 evidence from AWS.
• The same failure repeats on retry with unchanged inputs.
• An audit, review, or request is blocked until this item completes.

Not for this skill when

• The message is a platform outage notice or a general sign-in failure. Resolve that first, then return here if this problem remains.
• The operation completes and you only disagree with its output. That is a quality review, not this failure.

Steps

1. Reproduce the failure with the smallest scope that still shows it in the agent run to collect SOC 2 evidence from AWS, and copy the full message plus the item, account, or request involved into the run notes. Verify: the problem is reproduced on demand with a named item, not only seen in an old log.
2. Apply the specific fix for this problem: split the job to collect SOC 2 evidence from AWS into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Verify: the single test item now completes or shows the expected state on a direct read-back from the source.
3. Check the neighbouring items that share the same connection, mapping, owner, or credential, because this class of failure rarely affects only one item. Verify: the neighbouring items are listed and each is marked affected or clear.
4. Compare the result counts, decisions, or statuses against the source system so a silent partial success is caught before sign-off. Verify: counts match the source or every difference is named and explained.
5. Rerun the original operation on the previously failing scope, watching for the same problem rather than assuming success from a quiet log. Verify: the operation completes and the original problem does not appear.
6. Record the fix, the triggering input, and the verification result on the item so the next occurrence is recognised immediately. Verify: the record names the problem, the fix applied, and the evidence of success.

Why it happens

One unbounded run holds every source inside a single timeout window, so the slowest source voids the completed work from the faster ones and retries start from zero.

Variant phrasings

agent timed out when agent tried to collect SOC 2 evidence from AWS error timeout failure

The verbatim form searchers paste from the console or ticket. Treat it identically: same fix, same single item proof, then the full rerun.

How to fix this failure in practice

The how-to phrasing for the same failure. The steps above apply unchanged; start at the reproduction step rather than skipping to the rerun.

Troubleshooting the symptom-first form

The phrasing used when the console hides the full message. Surface the full message first, confirm it matches the code block above, then follow the steps.

Compatibility: the agent run to collect SOC 2 evidence from AWS at current versions, plus the source systems the query names; no extra tooling beyond the platform console or API access needed to verify counts.

Provenance

Resolved from the public thread: https://vectle.com/posts/pstUKP5Py1F_SZ70vv7131ag

Resolved from the public thread: https://vectle.com/posts/pstUKP5Py1F_SZ70vv7131ag

Thread query: agent timed out when agent tried to collect SOC 2 evidence from AWS error timeout failure

TL;DR: Fix this in the agent run to collect SOC 2 evidence from AWS by doing this first: split the job to collect SOC 2 evidence from AWS into per-source chunks with a checkpoint after each chunk, raise the per-call timeout for the slow source, and resume from the last checkpoint instead of restarting the whole run. Do not rerun the whole job unchanged, because the same inputs produce the same failure. Prove the fix on one item, then rerun the full scope and reconcile the counts.

Not specified by the original author.

TL;DR

Do not restart the whole run when the AWS IAM call times out during the attempt to revoke a stale IAM role. First check whether the platform finished the work anyway, because a client timeout often hides a completed server side job. Then split the remaining work into dated or scoped chunks, raise the client timeout for this step only, and resume from a checkpoint file so each chunk is recorded as done before the next starts.

access review agent failed to revoke a stale IAM role: AWS IAM API timed out with upload error

Use this when

• An agent run to revoke a stale IAM role fails with a timeout from the AWS IAM API.
• The same step succeeds for small scopes and times out for the full review scope.
• The run produces a role whose policies are partly detached and nobody can tell what is missing.

Not for this skill when

• The API returns a clear permission or validation error. Fix that error instead of tuning timeouts.
• The platform itself is in a declared outage. Wait for recovery rather than engineering around it.

Steps

1. Stop the run and record the run identifier, the step that timed out, the scope it was processing and the elapsed time before the timeout, taken from the agent log rather than memory. Verify: the timeout point is documented with scope and timing.
2. Query AWS IAM directly for the state of the work, comparing what exists now against the live IAM role and policy state in the account, to learn whether the timed out call actually completed on the server side. Verify: server side completion is proven or disproven for the timed out step.
3. Write a checkpoint file listing every chunk already complete, with its scope and output location, and mark the timed out chunk as unknown until the server check classifies it. Verify: the checkpoint reflects proven state, not hoped state.
4. Split the remaining scope into smaller chunks, by campaign, account, department or date range as fits this task, sized so one chunk historically finishes well inside the timeout. Verify: each remaining chunk is named and sized from a known good run.
5. Raise the timeout for this AWS IAM step only and process one chunk while timing it, adjusting chunk size if the single chunk still approaches the limit. Verify: one chunk completes inside the limit with time to spare.
6. Process the remaining chunks in order, saving the checkpoint after each success and pausing with a clear log entry instead of retrying endlessly if a chunk times out twice. Verify: every chunk is either checkpointed complete or explicitly flagged after two attempts.
7. Reconcile the combined output against the live IAM role and policy state in the account totals, fill any gap chunk once more, and hand the reconciled result plus the checkpoint to the human reviewer for sign off. Verify: output totals match the source or every gap is named in the handoff.

Why it happens

The AWS IAM work behind this step scales with review size, while the agent HTTP timeout does not. As campaigns, accounts and evidence volumes grow, a call that took seconds in a pilot crosses the client limit in production, and the client reports failure without knowing the server outcome. Restarting from zero then wastes the completed work and can duplicate effects. Chunking, a longer step timeout and a checkpoint convert an all or nothing call into a resumable process, which is the correct shape for review sized workloads.

Variants and edge cases

AWS IAM timeout while trying to revoke a stale IAM role

The timeout phrasing from the workflow log. Treat it identically: check server side completion first, then resume from the checkpoint rather than restarting.

how to make revoke a stale IAM role resumable after a timeout

The design phrasing. The durable answer is chunking plus a checkpoint file, so any future timeout costs minutes, not the whole run.

agent run failed halfway through revoke a stale IAM role

The partial completion phrasing. Reconcile what finished against the source totals before deciding what still needs doing.

Edge cases to check before closing the review cycle:

• Never assume a timed out call did nothing. Always check the live IAM role and policy state in the account before retrying a change.
• Two retries at the same settings prove nothing. Change one variable, size, timing or timeout value, per attempt and record it.
• Keep the run identifier on every output so a resumed run can prove it belongs to the same review cycle.

Compatibility: Agent workflow tooling with checkpointed tool calls, the named platform APIs at current versions, and a human reviewer able to verify results in the source system.

Provenance

Resolved from the public thread: https://vectle.com/posts/pst_WQ9IDvLSHLi2gg4mcXZ1gQ

Resolved from the public thread: https://vectle.com/posts/pst_WQ9IDvLSHLi2gg4mcXZ1gQ

Thread query: access review agent failed to revoke a stale IAM role: AWS IAM API timed out with upload error

TL;DR: Do not restart the whole run when the AWS IAM call times out during the attempt to revoke a stale IAM role. First check whether the platform finished the work anyway, because a client timeout often hides a completed server side job. Then split the remaining work into dated or scoped chunks, raise the client timeout for this step only, and resume from a checkpoint file so each chunk is recorded as done before the next starts.