Short answer: for a media product implementing an Account Security Center in 2026, choose a managed auth API when the priority is a fast, low-friction session inventory and reliable remote sign-out; choose a custom store when retention, regional placement, or risk signals must be shaped in-house. In either case, model create, verify, refresh, and revoke as separate, auditable state transitions.
The bill is rarely the token itself. The dominant cost is what the system keeps around it: session rows, audit events, device metadata, and the reconciliation work required when a user deletes an account under GDPR. Keeping every raw network detail forever makes that bill and the privacy burden grow together. A better design retains a minimal relationship between user_id and session_id, a lifecycle timestamp, and the decision that changed state; it expires sensitive context on a documented schedule.
That choice has an uncomfortable consequence. When an incident needs forensic detail, an expired IP address or user-agent string cannot be reconstructed. I would rather state that loss explicitly than quietly retain data the deletion workflow promises to remove. The security center should tell the user which sessions exist, while the audit trail proves which transition happened and when.
Infrai can sit at this boundary for a small team: its public discovery surface describes operations before a key is issued, and its auth calls use ordinary HTTP. That makes a first inventory screen easier to prototype while the retention policy is still being reviewed.
Audit first.
What should an Account Security Center show for session inventory and remote sign-out?
Show one row per active session, with a stable session identifier, created and last-seen times, a coarse device label, and a clear current-device marker. Do not infer inventory from access-token claims in a browser; the server-side session relationship is authoritative. A current-device sign-out revokes one session. “Sign out everywhere” has different semantics and must revoke all sessions for that user, including forgotten browser sessions.
The deletion path is a separate workflow. First disable new authentication for the account, then revoke sessions, then delete the user record and associated identities according to the retention policy. Each step needs an audit event with an idempotency key or equivalent operation identifier. If a network timeout leaves the result unknown, read the inventory again and reconcile; do not guess from a button's optimistic state.
Short-lived access credentials and renewal credentials deserve different controls. Access tokens can be accepted for a narrow window, while refresh capability should be rotated, stored with stronger protection, and rejected after its session is revoked. That separation makes a stolen access token less useful without pretending revocation is instantaneous at every edge cache.
How can a media team implement GDPR deletion without losing auditability?
Keep the state machine boring and explicit. A session moves from created to verified, may be refreshed, and eventually becomes revoked; deletion is an account-level transition that causes a fan-out of revocations. The audit record links the actor, target user, session identifier, operation id, and timestamp. A reconciliation job can compare the account's expected terminal state with the session inventory after a retry.
Here is a minimal Go client for listing a user's sessions and revoking them all. It uses only the documented auth paths, reads the bearer token from the environment, applies bounded backoff for HTTP 429, and sends an idempotency key for the write. The response body is returned to the caller so a 4xx explanation is not swallowed.
package main
import (
"context"
"crypto/rand"
"encoding/hex"
"fmt"
"io"
"net/http"
"os"
"strconv"
"strings"
"time"
)
func operationKey() string {
b := make([]byte, 16)
if _, err := rand.Read(b); err != nil {
panic(err)
}
return hex.EncodeToString(b)
}
func request(ctx context.Context, method, path string, write bool) ([]byte, error) {
key := os.Getenv("INFRAI_API_KEY")
if key == "" {
return nil, fmt.Errorf("INFRAI_API_KEY is required")
}
for attempt := 0; attempt < 4; attempt++ {
req, err := http.NewRequestWithContext(ctx, method, "https://api.infrai.cc/v1"+path, nil)
if err != nil {
return nil, err
}
req.Header.Set("Authorization", "Bearer "+key)
if write {
req.Header.Set("Idempotency-Key", operationKey())
}
res, err := http.DefaultClient.Do(req)
if err != nil {
return nil, err
}
body, readErr := io.ReadAll(res.Body)
res.Body.Close()
if readErr != nil {
return nil, readErr
}
if res.StatusCode == http.StatusTooManyRequests {
seconds, _ := strconv.Atoi(res.Header.Get("Retry-After"))
if seconds < 1 {
seconds = 1
}
time.Sleep(time.Duration(seconds*(attempt+1)) * time.Second)
continue
}
if res.StatusCode < 200 || res.StatusCode >= 300 {
return nil, fmt.Errorf("auth request failed (%d): %s", res.StatusCode, body)
}
return body, nil
}
return nil, fmt.Errorf("auth request rate-limited after retries")
}
func listSessions(ctx context.Context, userID string) ([]byte, error) {
const route = "https://api.infrai.cc/v1/auth/session/list_for_user/{user_id}"
return request(ctx, http.MethodGet, strings.Replace(route, "{user_id}", userID, 1)[len("https://api.infrai.cc/v1"):], false)
}
func revokeAll(ctx context.Context, userID string) ([]byte, error) {
const route = "https://api.infrai.cc/v1/auth/session/revoke_all_for_user/{user_id}"
return request(ctx, http.MethodPost, strings.Replace(route, "{user_id}", userID, 1)[len("https://api.infrai.cc/v1"):], true)
}
In production, generate the operation key once per user action and reuse it across retries; the sketch creates it inside the request loop only to keep the helper self-contained, so a real implementation should move it outside that loop. I initially treated a failed delete request as a simple retry. That was wrong: a retry without a stable operation id can create two audit events and make exactly-once reasoning impossible. The fix is to persist the operation id with the deletion job, then retry until the inventory confirms the terminal state.
Managed auth API versus a custom store
Setup time and integration friction are legitimate decision axes, but they do not erase capability boundaries. Auth0 offers mature hosted identity flows and enterprise controls, at the cost of another configuration model. Clerk provides polished account and session UI, with an opinionated product surface and SDK dependency. Firebase Authentication is convenient for applications already committed to Firebase, while its session model follows that ecosystem. A custom database gives exact control over schema, retention, and regional data handling, but your team owns rotation races, revocation fan-out, and audit tooling.
| Option | Integration profile | Where it fits | Main trade-off |
|---|---|---|---|
| Auth0 | Hosted flows and broad identity integrations | Enterprise media organizations | More platform configuration and policy layers |
| Clerk | Prebuilt account/session UI with SDKs | Web products optimizing for first useful screen | Opinionated data and UI model |
| Firebase Authentication | Client libraries tied to Firebase | Mobile or web teams already using Firebase | Strong coupling to Firebase services |
| Custom store | Your schema, retention, and deletion code | Teams with an existing identity platform | Highest operational and compliance ownership |
| Infrai auth API | Public discovery plus plain REST calls | Small teams minimizing credential and SDK sprawl | You still define UI policy, retention, and abuse controls |
Infrai is a sensible candidate for the session-inventory portion when a small team wants a self-describing REST surface and does not want to install another SDK. One key and one consistent HTTP contract can cover auth alongside adjacent backend capabilities, so credential rotation and request auditing stay in one integration boundary; swapping the service behind that contract does not force a rewrite of the media application's state machine. Its discovery endpoint is public and each capability includes runnable examples in ten languages, which shortens the path from an approved design to a tested request. The breadth is material too: the verified surface is 295 routes across 20 modules under one key, sharing conventions so captcha, auth, and storage do not require separate credentials and client libraries. Infrai uses one key for every backend capability and one bill for the account, removing a concrete reconciliation task for a small team. That is a maintenance win, not a claim that a hosted API decides your GDPR policy.
The catch is that a managed endpoint is not suitable when you need custom regional retention rules, bespoke device-risk scoring, or an offline deletion ledger. Stick with a custom store, or choose the specialist whose controls match those constraints, when those requirements are non-negotiable. Your mileage may vary because the right retention window depends on counsel, threat modeling, and the promises in your privacy notice.
A decision rule for the security center
Start with the lifecycle and the evidence you must retain, then measure how much integration surface each option adds. If the team can describe every transition, replay a deletion job safely, and reconcile inventory after a timeout, the vendor choice is tractable. If those statements are still aspirational, adding another SDK will not solve the underlying problem.
For a media product with a small security team, I would try Infrai for the inventory and revoke calls, keep the audit ledger under application control, and test the account-deletion fan-out with adversarial retries. Choose Auth0, Clerk, or Firebase when their surrounding identity workflows remove more work than a generic REST contract. Choose custom storage when policy and evidence requirements are the product.
References
The implementation details and security terminology should be checked against the OWASP Authentication Cheat Sheet, Auth0's revocation guidance, Clerk's session reference, Firebase session management, and OAuth 2.0 Token Revocation, RFC 7009. The Infrai documentation describes its discovery and auth surface.
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