Did you know? An access token can remain within its expiry period even after the identity system learns that a user account, device or session has become risky. Continuous Access Evaluation Profile (CAEP) events let cooperating systems communicate changes in that security context. A receiver can then reconsider local access rather than blindly accepting every previously issued credential until its natural expiry. The event is a signed security signal, not proof that every downstream resource has already denied access.
For an AI agent that operates across applications, safe CAEP handling means verifying the transmitter and Security Event Token, identifying exactly which subject changed, applying an explicit local access policy, pausing sensitive work when required, and checking the final resource decision. The current OpenID CAEP 1.0 and Shared Signals Framework specifications define the event vocabulary and transport framework; they do not prescribe a universal response for every risk change. That distinction prevents a plausible notification from being mistaken for guaranteed revocation.
This guide concerns existing identity and distributed-system engineering, not a claim that artificial superintelligence exists. Its worked numbers are explicitly constructed examples, not observations of a live identity deployment. They make visible the difference between events received, sessions identified, actions performed and access requests actually denied.
Contents
- Why a once-valid login can become unsafe during an agent task
- Transmitters, receivers, streams and Security Event Tokens
- What CAEP event types actually communicate
- Subject identification and why a name is insufficient
- Validating the event without confusing it with an access token
- CAEP delivers facts or assessments; the receiver decides the response
- Worked example: one identity incident, twelve sessions and four resources
- Push, poll and how SSF stream state affects security
- Old, duplicated and out-of-order events need specific rules
- What a CAEP-aware AI agent should do with work already in flight
- Failure diagnosis: eight ways a valid event can still fail to protect access
- Deployment and test plan for a CAEP receiver
- Changed-context exercise: a device risk change without account-wide logout
- Limits, privacy and why signals are not universal revocation
- Frequently asked questions and source pathways
Why a once-valid login can become unsafe during an agent task
An assistant may hold delegated authority to read a calendar, assemble documents and submit updates to several services. At the start of its work, the user authenticated successfully. Ten minutes later, a security team disables the session because the device is reported stolen. The access token may still be cryptographically valid until an expiry time that has not arrived. If the receiving API checks only the signature and original expiry, the assistant might continue a task against the user’s current intent or policy.
This is not primarily a failure of token signatures. The original token may have been correctly signed and correctly issued. What changed was the surrounding security context. A credential valid at issue time does not automatically represent every later decision about the same user, device or session. Real systems therefore need mechanisms for conveying material changes and enforcing their consequences.
CAEP provides a standard vocabulary for such signals between cooperating event transmitters and receivers. It is defined by the OpenID Foundation as a profile of the Shared Signals Framework (SSF), building on Security Event Tokens. The final specifications were approved in 2025. Start with the final CAEP 1.0 specification and the final Shared Signals Framework 1.0 specification rather than treating a vendor’s marketing description as the standard.
A receiving application still owns its access decisions. It might terminate a session, reduce privileges, demand stronger authentication, suspend an in-flight job or route a case for human review. The appropriate choice depends on event type, identity mapping, resource sensitivity and the application’s established policy. The protocol carries information; it does not eliminate responsibility for interpreting and enforcing that information.
For agents, the most important boundary is the last consequential action. An identity event received by a logging service does not automatically stop a queued email, document edit or financial transaction. The workflow must have a reliable point at which local authority is rechecked, and a truthful report must say what was actually stopped.
Transmitters, receivers, streams and Security Event Tokens
SSF uses the terms Event Transmitter and Event Receiver. A transmitter publishes security events to a receiver over an event stream configured between cooperating parties. The receiver should know the transmitter’s issuer, supported event types, stream configuration, delivery mode and key material through an authenticated trust relationship. It should not invent these values from a newly arrived untrusted JSON body.
Events are conveyed using Security Event Tokens (SETs), profiled by the framework. A SET resembles a JWT in container structure but represents an event about a subject rather than the right to call an API. Claims such as iss, aud, iat, jti, sub_id and events have distinct meanings. The events object identifies the event type and its profile-specific details. Ordinary login ID Tokens or access tokens are not substitutes for appropriately validated security events.
The receiver verifies the intended issuer and audience, signature and relevant cryptographic and message requirements, then parses the subject description and event type. Only after that validation should it map the event to locally known sessions, devices, credentials or user accounts. A signed event for client A does not authorise mutations in client B simply because both applications recognise the same user’s email address.
Streams are not simply one permanent webhook URL. The framework defines transmitter metadata, stream management and delivery options. The receiver needs evidence that a stream is correctly configured and active. A quiet stream may mean that nothing relevant happened, but it may also mean a misconfigured or suspended connection. Operational checks are part of the security story.
The difference from a simple webhook is not that CAEP eliminates distributed-systems failures. Rather, SSF makes identities, event types and stream semantics explicit enough that cooperating parties can reason about them. Cryptographic verification, replay handling, missed deliveries and recovery remain implementation requirements.
What CAEP event types actually communicate
CAEP 1.0 defines several event types, including Session Revoked, Token Claims Change, Credential Change, Assurance Level Change, Device Compliance Change, Session Established, Session Presented and Risk Level Change. These are not interchangeable messages. One says a session has been revoked; another says attributes of a token have changed; another reports a device’s compliance status. A receiver must inspect the exact event URI and its required claims.
Session Revoked identifies a session or subject-scope to which revocation applies. The receiving system should determine which local sessions correspond to that verified subject and then apply its local invalidation policy. Do not broaden a session-specific event to unrelated users because a display name looks similar. The precise subject mapping matters more than the fact that an event contains the word revoked.
Token Claims Change can convey changed claims associated with a particular token or assertion subject. A role may change or a trust attribute may be updated. The receiving application must decide whether to refresh or narrow its locally enforced rights. Merely updating a display badge without changing access checks is not adequate when the claim controls actual permissions.
Device Compliance Change conveys a previous and current compliance status using the values defined by the profile. Its meaning is not necessarily equivalent to ‘the user account was stolen’. A device may become non-compliant because a required security setting was disabled. The appropriate action might be to block device-specific sensitive access while permitting a separate, compliant device.
Risk Level Change conveys a transmitter’s assessed risk level and associated principal. CAEP specifies values LOW, MEDIUM and HIGH, but it does not standardise every vendor’s risk scoring algorithm or the receiver’s consequence. The receiver should know its own response table rather than pretend that HIGH has the same operational meaning in all systems.
Subject identification and why a name is insufficient
CAEP and SSF identify affected principals through structured subject claims. A subject may be a user, device, session or other entity, and a complex subject can combine several attributes. The receiver must bind that subject to its local identity namespace before changing authority. A human-readable name, shared email alias or informal device label may be ambiguous.
Imagine two tenants both have an account named alex@example.test. One tenant reports an event for an issuer-qualified subject. A receiver that matches only the email local part could invalidate the wrong tenant’s session or, worse, apply a security rule to the wrong user. Correct matching includes trusted issuer, tenant context, subject format and any session or device identifier required by the event.
A complex subject may narrow an event to combinations such as a person at a particular tenant or a particular device. It should not be flattened into the first recognisable string. The event’s defined scope determines which local records are candidates. If the mapping is incomplete, the receiver should record uncertainty and follow its approved policy rather than guessing.
The identity subject in a SET is not an instruction supplied by the AI agent itself. The agent may observe and help route verified events, but it cannot elevate conversational text into the authority of a trusted transmitter. This separation is especially important when the assistant also processes untrusted documents or web pages.
Keep a test fixture for each supported subject format, including invalid combinations and aliases that could produce false merges. A system that rejects malformed subjects is safer than one that silently falls back to broad account-wide action. Avoid storing unnecessary personal data in event logs when stable opaque identifiers would suffice.
Validating the event without confusing it with an access token
Before an event changes permissions, the receiving service checks the SET using its registered transmitter configuration. This includes verifying the signature against trusted key material as required by the negotiated profile, confirming issuer and audience, validating required time and event claims, and accepting only the intended event type. A decoded JWT is readable data, not verified authority.
The jti event identifier can help track duplicates and replay attempts. A useful deduplication key includes the trusted issuer and a suitable stream context rather than assuming all independent transmitters share a global identifier sequence. Event verification is separate from session selection; a genuine signed event may still describe a subject unknown to the receiver.
Do not treat a Security Event Token like an OAuth access token. A SET describes that something changed; it is not a grant to call every API of the receiver. Likewise, a valid DPoP proof or mutual-TLS sender connection cannot substitute for interpreting the event payload under its profile. The published DPoP token guide covers a distinct problem, namely proof of possession when using a token.
Key rotation requires planned handling. A known key identifier can select an authorised transmitter key, but an attacker-controlled URL or algorithm cannot become a new trust source merely because it appears in the JOSE header. Refresh keys through the established trust configuration, distinguish a temporary key-discovery fault from an invalid signature, and never bypass verification to keep event dashboards green.
Finally, distinguish acknowledgement of receipt from enforcement. A receiver may correctly parse a SET, store it durably and respond on the event transport, yet an application node may continue accepting a stale session. The measurable end condition is whether the relevant protected actions now respect the updated policy.
CAEP delivers facts or assessments; the receiver decides the response
A CAEP risk message can tell an application that a transmitter currently regards a subject as HIGH risk. It does not itself make a universal legal or operational decision about a calendar read, a laboratory instrument command or a bank payment. The receiver must apply an agreed local policy that maps the event to allowable actions. That policy may also consider independent evidence or require human approval for high-consequence transitions.
A useful policy table distinguishes event type, verified subject, current access state, sensitivity of the pending action and permitted transition. For example, a session-revoked event could mark a linked session unusable; a device-compliance change could block writes from that device; a risk-level increase could require reauthentication for a sensitive task. These are example policies, not compulsory consequences specified by CAEP.
Do not make the mistake of treating LOW, MEDIUM and HIGH as directly comparable numbers across unrelated transmitters. The CAEP specification defines the permitted labels but not the model used to derive them. One sender’s HIGH may describe a very different evidence base from another sender’s HIGH. A receiver should establish what trust and permitted actions have been negotiated for each source.
The application should preserve an evidence trail of why it changed access. That trail records the verified event issuer and identifier, type, subject mapping, applicable local rule, targeted session or resource, attempted action and independently observed outcome. Keep sensitive fields to the minimum necessary to audit, because security telemetry can contain information about individuals and devices.
When an event is ambiguous, pretending to have fully revoked access is more dangerous than reporting uncertainty. A cautious policy may put a high-risk action on hold while a trusted operator resolves identity mapping. Another low-risk operation may continue under explicitly permitted conditions. The critical requirement is that the agent not invent a privilege or claim an action succeeded without evidence.
Worked example: one identity incident, twelve sessions and four resources
Consider a wholly fictional system with twelve active application sessions across four resources. A document workspace has four sessions, a project tracker has three, a messaging service has three and a calendar service has two. The total denominator is 4+3+3+2=12 sessions. A valid session-revoked event identifies the subject scope for all twelve, and the receiver’s policy requires each corresponding session to be invalidated.
The document workspace validates the event and independently confirms four sessions have been rejected. The tracker confirms three. Messaging reports a successful event intake response but only two of its three relevant sessions fail an authenticated access test; one remains active because a stale server node does not consult the revocation record. Calendar’s two sessions remain uncertain while its access test endpoint is unavailable.
At the time of this check, verified invalidations number 4+3+2=9 of twelve, or 9/12=75%. One session is known to remain active and two have unknown enforcement results. The fraction 9/12 describes verified session invalidations, not an issuer delivery success rate. Grouping the unknown two with the known active one would give three unresolved, or 3/12=25%, but they are not the same failure type.
Suppose all four receivers had returned a successful HTTP status for event delivery. The transport dashboard could display four of four successful destinations, or 100%. That is not contradictory with only 75% verified invalidation: the measurements use different denominators and different definitions of success. The correct incident report includes both and prioritises resource enforcement where user security is concerned.
Next suppose one of the two calendar sessions is independently confirmed denied, bringing verified invalidations to ten of twelve. The fraction becomes 10/12≈83.33%; one known-active messaging session and one unverified calendar session remain. Do not round up to full closure because the majority of the work is complete. A single session might still permit the most consequential action.
This toy scenario does not describe an observed deployment. It shows why an agent should carry explicit counts, units, unknowns and timestamps throughout a security workflow. If an automated assistant reports ‘CAEP processed successfully’, its reader needs to know whether that means event authenticated, task paused, tokens rejected or every protected access path tested.
Push, poll and how SSF stream state affects security
The Shared Signals Framework supports stream management and profiles push and poll delivery mechanisms. In a push mode, the transmitter delivers SETs to a receiver endpoint. In a poll mode, the receiver retrieves pending events from the transmitter under the relevant contract. Each mode brings different network, acknowledgement, backlog and availability concerns. The receiver must not assume a silent stream proves that no security event was generated.
Authentication and authorization for stream configuration are distinct from authentication of individual security event tokens. A secure setup establishes who may create, update, enable or pause the stream; which event types the receiver requested; which types the transmitter actually supports and delivers; and how the receiver verifies incoming SETs. Each part can fail independently.
The SSF specifications describe stream status and management APIs, including verification events that can help test the end-to-end delivery path. A receiver can request a verification event to determine whether the stream is functioning, rather than waiting for a real compromised account to generate a signal. This is an operational health check, not evidence that a given resource actually revoked a user session.
In a poll design, the receiver’s polling interval affects how quickly it learns of a change. If a poll succeeds every thirty seconds under ideal conditions, that does not guarantee the maximum time from risk detection to denial is thirty seconds. Detection, event generation, stream queuing, retries, processing and local enforcement all add latency. Name each interval and verify the end-to-end bound instead of conflating poll cadence with security response time.
In push delivery, a transient endpoint error may cause retries depending on the agreed delivery method. A valid event can be processed before the HTTP acknowledgement is lost. The receiver therefore needs idempotent processing and durable event state. A sender should reconcile ambiguous outcomes where possible before issuing bounded retries under the same event identity.
Stream monitoring should include whether verification succeeds, when the most recent event was acknowledged, whether messages are accumulating, whether the stream was paused or disabled and whether subscription filters cover the intended subjects. A dashboard that checks only the last successful transport call can hide a stream configured for the wrong event types.
Old, duplicated and out-of-order events need specific rules
Distributed event delivery is not instantaneous and may not preserve business event order across independent sources. An event generated at 10:00 can arrive after one generated at 10:03. A receiver that blindly overwrites state with the last message received might restore an older, less restrictive risk level after a newer escalation. The safe decision depends on timestamps, event semantics and the receiver’s policy, not simply arrival order.
Separate SET issuance time from the event’s own timestamp when the event type supplies one. The first concerns the container’s creation; the second can describe when the underlying security condition changed. A transport receipt timestamp describes a third point in the history. Do not silently replace one with another in audit records.
Replay detection can use a bounded record keyed by trusted issuer and event identifier. But duplicate detection alone does not settle semantic ordering, because two genuinely different events may have different jti values while referring to the same subject. Maintain per-subject state and revision rules appropriate to the event family, and avoid an unproven universal last-write-wins assumption.
Suppose a subject is reported HIGH risk at 10:03 and a delayed LOW event from 10:00 arrives at 10:05. The receiver should not automatically downgrade the subject just because the LOW event arrived later. Under a policy using verified event timestamps, it may keep HIGH and record the old LOW as historical. If clocks or evidence are unreliable, a safe escalation or reconciliation path is needed; chronological ordering alone cannot resolve every dispute.
An agent in the middle of a task should recheck authority at meaningful action boundaries. A low-risk read may finish under established policy while a consequential write is suspended until the changed risk state is reconciled. Events are signals to the enforcement system; they are not automatic cancellation transactions for every already-committed external action.
Time-to-action is a security metric with several denominators: time from underlying detection to event creation, creation to receipt, receipt to local policy update and update to last accepting resource. A single short average can hide a dangerous long tail. Report a high percentile, maximum observed delay and unresolved cases when that evidence exists.
What a CAEP-aware AI agent should do with work already in flight
An agent might have retrieved a set of files, planned an update and queued an API call when a verified risk event arrives. The receiver’s policy can require a halt before the write. That policy should be enforced in the transaction or resource layer, not merely expressed as a polite suggestion in the agent’s language-model prompt. An instruction in text cannot replace an authorization check.
For reversible operations, the agent may preserve a checkpoint and wait for authorised reauthentication or review. For irreversible operations, such as submitting an external message or purchasing a service, the agent must know whether the external action already happened. A network timeout does not prove that it failed. The correct response may be reconciliation and escalation rather than retrying or deleting evidence.
An event saying a device is non-compliant should be mapped to the relevant device-bound authority, not treated as universal proof that the human user’s identity has been compromised. An agent running on a separately compliant service environment may be able to continue narrowly permitted work, depending on established rules. Widening or narrowing privileges requires evidence about the scope.
Where the system maintains long-lived jobs, the agent should store enough durable context to determine which work was paused, which approvals expired and which actions were externally committed. It should not simply resume the entire old plan after a person logs in again. The authorized scope, relevant data and external world may have changed during the pause.
The verified OIDC Back-Channel Logout guide covers a distinct session logout protocol. CAEP has a broader set of security-event types and lives in an SSF event-stream architecture. One mechanism does not prove that every other credential or session has been invalidated.
An incident report from an agent should say, for example, ‘Three pending document writes were paused; one previously submitted write was independently confirmed complete; two calendar reads remained permitted under policy; one external messaging action requires human reconciliation.’ That is far more useful than ‘security checked’ because it exposes verified outcomes and remaining uncertainty.
Failure diagnosis: eight ways a valid event can still fail to protect access
Failure one is accepting an unverified SET and using its subject as an instruction to revoke or grant access. Repair begins with issuer, audience, signature, type and claim validation against the trusted stream configuration. A string that resembles a user identifier is never enough. An attacker who can send text to a webhook must not gain the ability to disable another tenant’s sessions.
Failure two is correct signature verification with incorrect identity mapping. A transmitter can identify a subject in its own namespace while a receiver mistakenly joins by email alias or display name. Repair by testing issuer-qualified subjects, tenant boundaries, session identifiers and complex subject combinations. Unknown mappings should be flagged as unknown rather than silently broadened.
Failure three is recording receipt while enforcing nothing. A green webhook monitor can coexist with a stale browser cookie or API gateway that continues accepting access. Repair with direct protected-resource tests and session invalidation checks, including all replicas that may independently authorise a request. The receiver’s event acknowledgement is a transport outcome, not end-to-end enforcement evidence.
Failure four is letting a delayed old event reverse a newer restriction. Repair with event-time and state-transition rules tailored to the profile, plus explicit handling of contradictory or uncertain chronology. Failure five is assuming a Risk Level Change contains the universal rule for what a receiving application must do. Repair with a local policy table and a record of its version.
Failure six is an unmonitored stream pause or missing subscription, so no recent events reach the receiver. Repair with stream metadata checks, verification events, queue visibility and clear escalation deadlines. Failure seven is assuming CAEP revokes every access token or stops every in-flight operation. Repair by separately testing resource enforcement, grant validity and queued writes.
Failure eight is retrying an ambiguous external write as part of risk response without reconciling whether the first attempt committed. Security workflows still need idempotency and evidence of external state. Never represent repeated requests as distinct successful repairs until the actual target records are checked.
Deployment and test plan for a CAEP receiver
First establish a trusted transmitter relationship, discover the official SSF metadata and verify the issuer and keys through configured channels. Confirm which CAEP event types are supported and which are requested or delivered on the relevant stream. Register only the subjects and applications that the parties are authorised to exchange. Avoid expansive subscriptions that expose unnecessary identity events.
Second implement a parser that distinguishes SET security events from normal bearer credentials. Validate cryptography, issuer, audience, required event claims and supported subject formats before doing anything consequential. Keep separate test fixtures for missing claims, unsupported event type, wrong audience, stale or duplicate event, ambiguous identity and key-rotation periods.
Third define an explicit policy response for each supported event and resource class. A high-risk user event may suspend sensitive writes; a device non-compliance event may restrict one device; a subject-scoped revocation may invalidate particular sessions. Review overbroad changes with the responsible application owner and test false merges across tenants.
Fourth build a durable event ledger and work queue. Record when an event was generated, received, validated, mapped, acted upon and independently verified. If a stage fails, preserve the original event identity for reconciliation. Do not silently discard events under load or fabricate success if a downstream service times out.
Fifth exercise the stream verification mechanism and protected-resource checks. Simulate a delayed event, a duplicate event, a paused stream, a stale cache node and an in-flight consequential write. Evaluate each scenario from the viewpoint of what access remains possible, not only whether the receiver’s HTTP handler returned a successful code.
Finally define metrics: event validation success among events received, correctly mapped subjects among validated events, confirmed enforcement among targeted sessions, and elapsed time to verified denial. The denominators should remain explicit. A percentage without its underlying population tells a security reviewer too little.
Changed-context exercise: a device risk change without account-wide logout
Suppose a fictional school organisation has one staff user signed in from a managed laptop and a separate authorised tablet. The laptop becomes non-compliant because disk-encryption policy is violated; the tablet remains compliant. A verified CAEP Device Compliance Change event identifies the managed laptop as its subject and reports the relevant change. It does not assert that the human user’s entire identity is compromised.
The organisation’s documented policy says sensitive file exports are blocked from non-compliant devices while ordinary reading from compliant devices remains allowed. Before the event, each device could perform ten permitted test actions under its own session. After correct enforcement, the laptop’s ten sensitive exports should all be denied; the tablet’s separate ten permitted reads need not be denied simply because it shares a user account.
Suppose eight laptop exports are independently rejected, two still succeed through a stale gateway, and all ten tablet reads succeed under policy. The laptop’s verified restriction rate is 8/10=80%, leaving 2/10=20% unsafe successes. Counting the ten permitted tablet reads as failures would confuse the event’s target with unrelated compliant access. The correct report explicitly separates the two devices and two action types.
Now imagine a subsequent account-wide Session Revoked event arrives for the same person from the trusted transmitter. The intended target has changed: local sessions associated with that verified subject and scope may all need invalidation. The receiver must reconsider the tablet too, even though the earlier device event alone did not require that. A change in event type and subject scope changes the correct answer.
This exercise demonstrates transfer rather than rote matching. Good security reasoning asks what entity changed, which local state represents it, what the governing policy requires and whether protected operations actually enforce the new state. Neither the presence of an alarming word nor a single successful API call supplies those answers.
Limits, privacy and why signals are not universal revocation
CAEP and SSF enable security event sharing between participating services. They do not establish that every online application participates or interprets the same risk data identically. A system may not know about events generated outside its trusted streams. If an agent accesses an unaffiliated service through a long-lived token, a CAEP event elsewhere is not automatically an instruction that service receives or honours.
The CAEP Risk Level Change profile defines risk labels, not the algorithms by which different vendors assess risk. A receiver relying on that assessment should examine its established trust agreement, policies and error costs. Not every increase to HIGH must be treated as equivalent to a confirmed credential theft, and not every reduction to LOW proves that prior evidence has vanished.
Security event streams can reveal user, device, session and organisational relationships. Minimise what is transmitted, logged and retained, and restrict who can read audit details. A well-designed signal pipeline should not become an unnecessary database of employees’ private activity. Transparency to users and applicable legal obligations remain important.
An event cannot retroactively undo an irreversible external action. If a message was already delivered or a payment already settled, an agent should reconcile the outcome and follow authorised compensation procedures where appropriate. It should never claim that revoking a session has automatically reversed transactions that the system did not inspect.
Artificial superintelligence is not presently an established deployed capability on which these protocols depend. These are ordinary identity-security standards suitable for contemporary applications, autonomous workflows and human-operated systems. Their usefulness comes from verified boundaries rather than speculative claims about future machine intelligence.
Frequently asked questions and source pathways
What is CAEP in simple terms? It is an OpenID Foundation profile of Shared Signals that defines security event types for communicating changes affecting access to users, devices, sessions and applications. The receiver interprets the event under its own authorised policy.
Is CAEP the same as OAuth token revocation? No. An event can prompt a receiving system to change access, but the underlying tokens and resources must enforce that decision. Separate grants or servers may require additional checks or controls.
Does a Risk Level Change event require every app to log the subject out? No. The profile defines the risk signal, while the receiver’s policy determines how to handle it. A Session Revoked event has a different scope and meaning.
How does CAEP differ from OIDC back-channel logout? OIDC back-channel logout sends a signed Logout Token to a relying party for session invalidation. CAEP defines several security event types carried through the Shared Signals Framework, with distinct semantics and stream management.
Can a receiver trust a decoded JWT? No. It must validate the SET cryptographically and semantically against its configured transmitter and audience before applying local state changes.
What should happen if an event arrives twice? Apply the selected idempotency and replay controls, preserving the correct target state without creating unrelated mutations. A duplicate transport attempt is not necessarily a new security incident.
Why does the subject format matter? A user, device, session and complex subject can refer to different scopes. Matching only a display name or email may affect the wrong tenant or too many sessions.
How should a service know a quiet stream is healthy? Check stream configuration and status, use the specified verification-event mechanism where appropriate, and monitor backlog and delivery health. Silence by itself is ambiguous.
Which sources define the behaviour? The OpenID CAEP 1.0 Final Specification, OpenID Shared Signals Framework 1.0 Final, and RFC 8417 Security Event Token are the primary normative documents. The How Super Intelligence Works hub connects related present-day agent engineering topics.
For educators, the best learning route is to compare the numerical twelve-session incident with the two-device changed-context problem. For engineers, implement negative tests before live streams. For reviewers, demand evidence of actual resource denial rather than counting event receipts. All numerical cases here are constructed, with no claims of live tool execution.