API Behavior Profiling

    Detect response drift
    before users do.

    Behavior profiling runs authenticated checks against your REST API every day, compares responses to baseline, and alerts you when payloads, status codes, latency, or exposed data drift.

    BaselineTracked daily

    Endpoint

    GET /orders

    200 status, 1.2 KB response, 180ms latency

    Thursday scan

    Drift detected

    Response size 1.2 KB → 8.4 KB

    Alert

    Debug object introduced in payload

    Drift Timeline7 days
    Mon
    Tue
    Wed
    drift
    Thu
    Fri
    Sat
    Sun

    Thursday and Friday exceed baseline due to a response drift event with field-level changes captured for review.

    Daily authenticated checks activeBaseline • Scan • Diff • Alert

    01 / What Counts as Drift

    Five ways responses change.
    Only some of them are safe.

    Drift TypeWhat ChangedWhy It Matters

    JSON body

    Field added, removed, renamed, or type-changed

    Breaking change for downstream integrations

    Status code

    200 becomes 401, 403, or 500

    Auth regression or unhandled error path

    Response size

    Payload grows from 1.2 KB to 8.4 KB

    Debug data or unintended object serialization in production

    Response time

    Latency increases from 180ms to 2,400ms

    Backend degradation before users notice

    Sensitive data

    PII, API keys, or tokens appear in response body

    Data exposure requiring immediate remediation

    02 / Workflow

    How drift detection works.
    Every 24 hours.

    01

    Import your OpenAPI spec

    ApyGuard reads endpoint definitions, parameter schemas, and expected response structures to establish what normal looks like.

    02

    Configure credentials

    Provide API keys or auth tokens for authenticated coverage so daily checks validate real production-facing flows.

    03

    Run daily scans

    ApyGuard replays authenticated requests against covered endpoints and records body, status code, size, and latency.

    04

    Detect and review drift

    Every response is compared to baseline. Deviations become alerts with response diffs your team can inspect immediately.

    05

    Approve intended changes

    Expected updates can be acknowledged to establish a new baseline while accidental drift stays in the remediation queue.

    03 / Sensitive Data Detection

    Detect response changes
    that expose data.

    Behavior profiling looks beyond schema drift and watches for newly exposed data patterns such as PII, secrets, or financial fields appearing in responses unexpectedly.

    PII

    Email addresses, phone numbers, full names, dates of birth

    Financial data

    Credit card numbers, bank account numbers

    Auth credentials

    API keys, session tokens, JWT secrets, plaintext passwords

    Identity data

    National ID numbers, passport numbers

    Use behavior profiling with the API traffic analyzer to combine live usage visibility with daily authenticated response validation.

    FAQ

    Before you put drift detection
    on a schedule.

    How does the baseline get established?

    The first scan establishes the response baseline for each endpoint. Every later run compares against that saved state.

    What do I do when I intentionally update an endpoint?

    Dismiss the expected drift alert and confirm the baseline update so future scans compare against the new intended response.

    Does ApyGuard store my API credentials?

    Credentials are encrypted at rest and used only to execute the authenticated validation requests.

    Does it work with GraphQL or gRPC?

    No. Behavior profiling currently supports REST APIs with OpenAPI specifications.

    API Behavior Profiling

    Know when responses change
    before integrations break.

    Baseline your authenticated endpoints, then let ApyGuard alert you the moment production behavior drifts.