Collect PingOne Advanced Identity Cloud logs

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This document explains how to ingest PingOne Advanced Identity Cloud logs to Google Security Operations using Amazon S3.

Before you begin

  • Google SecOps instance
  • Privileged access to PingOne Advanced Identity Cloud tenant
  • Privileged access to AWS (S3, IAM, Lambda, EventBridge)

Get PingOne API key and tenant FQDN

  1. Sign in to the Advanced Identity Cloud admin console.
  2. Click the user icon and then click Tenant Settings.
  3. On the Global Settings tab, click Log API Keys.
  4. Click New Log API Key, provide a name for the key.
  5. Click Create Key.
  6. Copy and save the api_key_id and api_key_secret values in a secure location. The api_key_secret value is not displayed again.
  7. Click Done
  8. Go to Tenant Settings > Details, and find your tenant FQDN (for example, example.tomcat.pingone.com).

Configure AWS S3 bucket and IAM for Google SecOps

  1. Create Amazon S3 bucket following this user guide: Creating a bucket
  2. Save bucket Name and Region for future reference (for example, pingone-aic-logs).
  3. Create a user following this user guide: Creating an IAM user.
  4. Select the created User.
  5. Select the Security credentials tab.
  6. Click Create Access Key in the Access Keys section.
  7. Select Third-party service as the Use case.
  8. Click Next.
  9. Optional: add a description tag.
  10. Click Create access key.
  11. Click Download CSV file to save the Access Key and Secret Access Key for later use.
  12. Click Done.
  13. Select the Permissions tab.
  14. Click Add permissions in the Permissions policies section.
  15. Select Add permissions.
  16. Select Attach policies directly
  17. Search for and select the AmazonS3FullAccess policy.
  18. Click Next.
  19. Click Add permissions.

Configure the IAM policy and role for S3 uploads

  1. In the AWS console, go to IAM > Policies > Create policy > JSON tab.

  2. Enter the following policy.

    {
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "AllowPutPingOneAICObjects",
      "Effect": "Allow",
      "Action": "s3:PutObject",
      "Resource": "arn:aws:s3:::pingone-aic-logs/*"
    },
    {
      "Sid": "AllowGetStateObject",
      "Effect": "Allow",
      "Action": ["s3:GetObject"],
      "Resource": "arn:aws:s3:::pingone-aic-logs/pingone-aic/logs/state.json"
    }
  ]
}
    • Replace pingone-aic-logs if you entered a different bucket name.

  3. Click Next > Create policy.

  4. Go to IAM > Roles > Create role > AWS service > Lambda.

  5. Attach the newly created policy.

  6. Name the role WritePingOneAICToS3Role and click Create role.

Create the Lambda function

  1. In the AWS Console, go to Lambda > Functions > Create function.
  2. Click Author from scratch.

  3. Provide the following configuration details:

    Setting Value
    Name pingone_aic_to_s3
    Runtime Python 3.13
    Architecture x86_64
    Execution role WritePingOneAICToS3Role

  4. After the function is created, open the Code tab, delete the stub and enter the following code (pingone_aic_to_s3.py):

    #!/usr/bin/env python3

import os, json, time, urllib.parse
from urllib.request import Request, urlopen
from urllib.error import HTTPError, URLError
import boto3

FQDN = os.environ["AIC_TENANT_FQDN"].strip("/")
API_KEY_ID = os.environ["AIC_API_KEY_ID"]
API_KEY_SECRET = os.environ["AIC_API_SECRET"]
S3_BUCKET = os.environ["S3_BUCKET"]
S3_PREFIX = os.environ.get("S3_PREFIX", "pingone-aic/logs/").strip("/")
SOURCES = [s.strip() for s in os.environ.get("SOURCES", "am-everything,idm-everything").split(",") if s.strip()]
PAGE_SIZE = min(int(os.environ.get("PAGE_SIZE", "500")), 1000)  # hard cap per docs
MAX_PAGES = int(os.environ.get("MAX_PAGES", "20"))
STATE_KEY = os.environ.get("STATE_KEY", "pingone-aic/logs/state.json")
LOOKBACK_SECONDS = int(os.environ.get("LOOKBACK_SECONDS", "3600"))

s3 = boto3.client("s3")

def _headers():
    return {"x-api-key": API_KEY_ID, "x-api-secret": API_KEY_SECRET}

def _iso(ts: float) -> str:
    return time.strftime("%Y-%m-%dT%H:%M:%SZ", time.gmtime(ts))

def _http_get(url: str, timeout: int = 60, max_retries: int = 5) -> dict:
    attempt, backoff = 0, 1.0
    while True:
        req = Request(url, method="GET", headers=_headers())
        try:
            with urlopen(req, timeout=timeout) as r:
                data = r.read()
                return json.loads(data.decode("utf-8"))
        except HTTPError as e:
            # 429: respect X-RateLimit-Reset (epoch seconds) if present
            if e.code == 429 and attempt < max_retries:
                reset = e.headers.get("X-RateLimit-Reset")
                now = int(time.time())
                delay = max(1, int(reset) - now) if (reset and reset.isdigit()) else int(backoff)
                time.sleep(delay); attempt += 1; backoff *= 2; continue
            if 500 <= e.code <= 599 and attempt < max_retries:
                time.sleep(backoff); attempt += 1; backoff *= 2; continue
            raise
        except URLError:
            if attempt < max_retries:
                time.sleep(backoff); attempt += 1; backoff *= 2; continue
            raise

def _load_state() -> dict:
    try:
        obj = s3.get_object(Bucket=S3_BUCKET, Key=STATE_KEY)
        return json.loads(obj["Body"].read())
    except Exception:
        return {"sources": {}}

def _save_state(state: dict):
    s3.put_object(Bucket=S3_BUCKET, Key=STATE_KEY,
                  Body=json.dumps(state, separators=(",", ":")).encode("utf-8"),
                  ContentType="application/json")

def _write_page(payload: dict, source: str) -> str:
    ts = time.gmtime()
    key = f"{S3_PREFIX}/{time.strftime('%Y/%m/%d/%H%M%S', ts)}-pingone-aic-{source}.json"
    s3.put_object(Bucket=S3_BUCKET, Key=key,
                  Body=json.dumps(payload, separators=(",", ":")).encode("utf-8"),
                  ContentType="application/json")
    return key

def _bounded_begin_time(last_ts: str | None, now: float) -> str:
    # beginTime must be <= 24h before endTime (now if endTime omitted)
    # if last_ts older than 24h → cap to now-24h; else use last_ts; else lookback
    twenty_four_h_ago = now - 24*3600
    if last_ts:
        try:
            t_struct = time.strptime(last_ts[:19] + "Z", "%Y-%m-%dT%H:%M:%SZ")
            t_epoch = int(time.mktime(t_struct))
        except Exception:
            t_epoch = int(now - LOOKBACK_SECONDS)
        begin_epoch = max(t_epoch, int(twenty_four_h_ago))
    else:
        begin_epoch = max(int(now - LOOKBACK_SECONDS), int(twenty_four_h_ago))
    return _iso(begin_epoch)

def fetch_source(source: str, last_ts: str | None):
    base = f"https://{FQDN}/monitoring/logs"
    now = time.time()
    params = {
        "source": source,
        "_pageSize": str(PAGE_SIZE),
        "_sortKeys": "timestamp",
        "beginTime": _bounded_begin_time(last_ts, now)
    }

    pages = 0
    written = 0
    newest_ts = last_ts
    cookie = None

    while pages < MAX_PAGES:
        if cookie:
            params["_pagedResultsCookie"] = cookie
        qs = urllib.parse.urlencode(params, quote_via=urllib.parse.quote)
        data = _http_get(f"{base}?{qs}")
        _write_page(data, source)

        results = data.get("result") or data.get("results") or []
        for item in results:
            t = item.get("timestamp") or item.get("payload", {}).get("timestamp")
            if t and (newest_ts is None or t > newest_ts):
                newest_ts = t

        written += len(results)
        cookie = data.get("pagedResultsCookie")
        pages += 1
        if not cookie:
            break

    return {"source": source, "pages": pages, "written": written, "newest_ts": newest_ts}

def lambda_handler(event=None, context=None):
    state = _load_state()
    state.setdefault("sources", {})
    summary = []
    for source in SOURCES:
        last_ts = state["sources"].get(source, {}).get("last_ts")
        res = fetch_source(source, last_ts)
        if res.get("newest_ts"):
            state["sources"][source] = {"last_ts": res["newest_ts"]}
        summary.append(res)
    _save_state(state)
    return {"ok": True, "summary": summary}

if __name__ == "__main__":
    print(lambda_handler())

  5. Go to Configuration > Environment variables > Edit > Add new environment variable.

  6. Enter the following environment variables, replacing with your values:

    Key Example
    S3_BUCKET pingone-aic-logs
    S3_PREFIX pingone-aic/logs/
    STATE_KEY pingone-aic/logs/state.json
    AIC_TENANT_FQDN example.tomcat.pingone.com
    AIC_API_KEY_ID <api_key_id>
    AIC_API_SECRET <api_key_secret>
    SOURCES am-everything,idm-everything
    PAGE_SIZE 500
    MAX_PAGES 20
    LOOKBACK_SECONDS 3600

  7. After the function is created, stay on its page (or open Lambda > Functions > your-function).

  8. Select the Configuration tab.

  9. In the General configuration panel click Edit.

  10. Change Timeout to 5 minutes (300 seconds) and click Save.

Create an EventBridge schedule

  1. Go to Amazon EventBridge > Scheduler > Create schedule.
  2. Provide the following configuration details:
    • Recurring schedule: Rate (1 hour).
    • Target: your Lambda function.
    • Name: pingone-aic-1h.
  3. Click Create schedule.

Optional: Create read-only IAM user & keys for Google SecOps

  1. In the AWS Console, go to IAM > Users, then click Add users.
  2. Provide the following configuration details:
    • User: Enter a unique name (for example, secops-reader)
    • Access type: Select Access key - Programmatic access
    • Click Create user.
  3. Attach minimal read policy (custom): Users > select secops-reader > Permissions > Add permissions > Attach policies directly > Create policy

  4. In the JSON editor, enter the following policy:

    {
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": ["s3:GetObject"],
      "Resource": "arn:aws:s3:::<your-bucket>/*"
    },
    {
      "Effect": "Allow",
      "Action": ["s3:ListBucket"],
      "Resource": "arn:aws:s3:::<your-bucket>"
    }
  ]
}

  5. Set the name to secops-reader-policy.

  6. Go to Create policy > search/select > Next > Add permissions.

  7. Go to Security credentials > Access keys > Create access key.

  8. Download the CSV (these values are entered into the feed).

Configure a feed in Google SecOps to ingest PingOne Advanced Identity Cloud logs

  1. Go to SIEM Settings > Feeds.
  2. Click Add New Feed.
  3. In the Feed name field, enter a name for the feed (for example, PingOne Advanced Identity Cloud).
  4. Select Amazon S3 V2 as the Source type.
  5. Select PingOne Advanced Identity Cloud as the Log type.
  6. Click Next.
  7. Specify values for the following input parameters:
    • S3 URI: s3://pingone-aic-logs/pingone-aic/logs/
    • Source deletion options: Select the deletion option according to your preference.
    • Maximum File Age: Default 180 Days.
    • Access Key ID: User access key with access to the S3 bucket.
    • Secret Access Key: User secret key with access to the S3 bucket.
    • Asset namespace: The asset namespace.
    • Ingestion labels: The label to be applied to the events from this feed.
  8. Click Next.
  9. Review your new feed configuration in the Finalize screen, and then click Submit.

Need more help? Get answers from Community members and Google SecOps professionals.