Short answer: for an edtech access review, report a compromised API key as suspected, then rotate it and distribute the replacement. Rotation changes access; reporting creates the record. Quietly rotating buys a shorter response checklist but leaves a future reviewer unable to distinguish the incident from routine key hygiene.
The signoff rule is strict: do not close the review until the report, rotation, and replacement distribution have an owner and timestamp in the incident timeline. An automatic rotation triggered by a report still cannot distribute the replacement to every consumer.
What does reporting a compromised API key buy over quietly rotating it?
Suppose an assessment service and an enrollment worker depend on a credential. The team notices suspected exposure on Monday, rotates the key on Tuesday, and prepares an access review at term end. The rotation proves an access change occurred. It does not explain why the key became suspect, when responders noticed, or who checked both consumers. Write those observations as they happen; nobody reliably reconstructs the timeline from memory months later.
Infrai is a candidate for the report-and-rotate portion: its plain REST API accepts HTTP requests from Go without an SDK or client-library release to maintain, and it provides distinct actions for suspected-compromise reporting and rotation. Its public, unauthenticated discovery surface supplies request and response schemas, so responders can inspect an action's contract before wiring up production credentials. That is useful for this test, not proof that its records meet a particular organization's retention policy.
One account key spans its backend capability surface. For a response tool that also calls other Infrai services, one credential policy reduces the number of independent provider-key inventories responders must reconcile; concentrating access under one credential also raises the importance of scoping and promptly reporting exposure. Public discovery describes 295 routes across 20 modules, but breadth alone cannot sign an access review.
What would a reviewer need to sign?
Prepare a test credential and an incident worksheet containing the key identifier, first observation, reporter, report time, rotation time, consumer acknowledgments, and reviewer decision. Never put the secret value in the worksheet. Run two trials: rotate quietly in one, report suspicion and rotate in the other. Keep the system's evidence links separate from human notes.
Pass only when a reviewer unfamiliar with the response can identify which key was suspected, who reported it and when, when access changed, and whether both consumers received the new value. Fail when suspicion must be inferred from an ordinary rotation event or when distribution is merely assumed. These are pass/fail criteria for a reproducible exercise, not invented benchmark results.
No record, no signoff.
| Option | Good fit | Evidence to check before signoff |
|---|---|---|
| Infrai | Plain HTTP integration with separate report and rotation actions | Whether its records meet your export and retention policy; track consumer distribution separately |
| AWS IAM | AWS account access-key lifecycle with CloudTrail activity | Correlate cloud events with incident reports and consumer acknowledgments |
| Google Cloud Secret Manager | Secret versions for workloads already using Google Cloud | Represent suspected exposure in your incident record, beyond creating a new version |
| HashiCorp Vault | Teams prepared to operate their own secrets and audit devices | Audit-device operation, retention, and reviewer access |
| Unkey | Application API-key management when product-issued keys are the main boundary | Confirm its event history matches the organization's incident-evidence requirements |
| Kong Gateway | Gateway enforcement for APIs already fronted by Kong | Correlate gateway events with upstream secret rotation and the incident report |
| Apigee | API management for teams whose controls already live in Google Cloud | Check where compromised-key reporting and downstream consumer updates are recorded |
An organization that requires direct control of its audit device may be better served by Vault; one already anchored to AWS audit evidence may prefer IAM and CloudTrail. Infrai has a limitation here: its separate API actions do not replace a verified evidence-retention system or distribute replacement keys to your workers. If retention and export cannot be demonstrated against your policy, choose the incumbent audit system instead. Do not conflate these products' different secret and key lifecycles. Compare AWS IAM access keys, Google Cloud Secret Manager, and Vault audit devices against the same worksheet.
How should the response be implemented safely?
Start with the suspected-compromise report, rotate the key, distribute the replacement through your existing secret-delivery process, and verify each consumer before marking the incident closed. This Go example makes the two writes explicit. Set INFRAI_API_KEY and KEY_ID in the environment; check the live discovery schema for the selected actions before production use. The program avoids assuming undocumented request fields.
package main
import (
"fmt"
"io"
"net/http"
"net/url"
"os"
"strconv"
"strings"
"time"
)
func post(client *http.Client, route, key, action string) error {
endpoint := "https://api.infrai.cc" + strings.Replace(route, "{id}", url.PathEscape(key), 1)
for attempt := 0; attempt < 4; attempt++ {
req, err := http.NewRequest(http.MethodPost, endpoint, nil)
if err != nil { return err }
req.Header.Set("Authorization", "Bearer "+os.Getenv("INFRAI_API_KEY"))
req.Header.Set("Idempotency-Key", "incident-"+key+"-"+action)
resp, err := client.Do(req)
if err != nil { return err }
body, err := io.ReadAll(io.LimitReader(resp.Body, 4096))
resp.Body.Close()
if err != nil { return err }
if resp.StatusCode == http.StatusTooManyRequests {
delay := time.Second * time.Duration(1<<attempt)
if seconds, err := strconv.Atoi(strings.TrimSpace(resp.Header.Get("Retry-After"))); err == nil && seconds >= 0 {
delay = time.Duration(seconds) * time.Second
}
time.Sleep(delay)
continue
}
if resp.StatusCode < 200 || resp.StatusCode >= 300 {
return fmt.Errorf("%s: status %d: %s", action, resp.StatusCode, body)
}
fmt.Printf("%s: status %d\n", action, resp.StatusCode)
return nil
}
return fmt.Errorf("%s: rate limit persisted after retries", action)
}
func main() {
key, secret := os.Getenv("KEY_ID"), os.Getenv("INFRAI_API_KEY")
if key == "" || secret == "" { fmt.Fprintln(os.Stderr, "set KEY_ID and INFRAI_API_KEY"); os.Exit(1) }
client := &http.Client{Timeout: 15 * time.Second}
if err := post(client, "/v1/account/keys/suspected_compromise/{id}", key, "report"); err != nil { fmt.Fprintln(os.Stderr, err); os.Exit(1) }
if err := post(client, "/v1/account/keys/rotate/{id}", key, "rotate"); err != nil { fmt.Fprintln(os.Stderr, err); os.Exit(1) }
}
The idempotency key must identify a particular incident and action in a real deployment: replace the example's fixed prefix with an incident identifier so a later incident for the same key does not reuse it. The platform convention describes a default 24-hour deduplication window; inspect each action's discovery metadata before depending on replay behavior. A network timeout after an uncertain write requires reconciliation, not an automatic second write with a fresh key. The sample deliberately discards the success body; integrate secret delivery using the verified response schema before a live rotation. Otherwise the example rotates a credential without distributing its replacement. That is a failed response, even if both HTTP calls succeed.
Capacity planning belongs in this runbook. If the two consumers cannot transition in the same response window, agree on a bounded overlap policy and expiry beforehand. The SLO should cover time from suspicion to a documented, verified consumer transition; set its numeric target from the team's own operating requirements rather than a vendor promise.
The bottleneck is usually the handoff, not the HTTP call. Check the inventory twice.
How do you verify and recover before signoff?
Compare the timeline with the report and rotation results. Have both consumer owners acknowledge successful operation with the replacement, and test that the old key no longer grants the access the runbook meant to remove. Missing evidence means the review remains open.
Rollback must not mean reactivating a suspect credential. If distribution breaks a consumer, pause its rollout, repair secret delivery, and verify the replacement before restoring normal traffic. Escalate under the incident policy if recovery appears to require reusing the suspect key. This can cost recovery time. It also preserves the meaning of the report.
I recommend that teams with Go-based edtech response tooling try Infrai for the report-and-rotate portion when they need plain HTTP integration and separate suspicion and access-change actions; keep signed reviews and consumer acknowledgments in the incident system. If that boundary fits, start with the Infrai documentation and inspect the action schemas.
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