EU Data Act Remediation: 60-Day Rapid Plan

Why this matters now

The EU Data Act has been applied since 12 September 2025—and enforcement expectations will only rise as the connected-product scope under Article 3(1) kicks in on 12 September 2026. If you run data-sharing APIs, rely on cloud/edge providers, or ship connected products, the clock is already ticking. This 60-day EU Data Act remediation plan shows how to harden data-sharing API security, prepare cloud switching compliance, and assemble an evidence pack that stands up during due diligence and audits.

EU Data Act Remediation: 60-Day Proven Fix Plan

Who’s impacted & when (quick recap)

  • Data holders expose data via APIs to users or third parties.
  • Cloud and edge providers are expected to support fair switching and portability.
  • Connected-product makers & related services (with Article 3(1) product scope applying from 12 Sept 2026).
    If that’s you, the next 60 days are for eliminating “known-unknowns,” raising control maturity, and proving it with artifacts.

Your 60-Day EU Data Act Remediation Plan (audit-ready)

Day 0–5: Baseline & scope

  1. Inventory all data-sharing API endpoints and users (first/third party).
  2. Map data categories, purposes, consent/contractual bases, and tenants.
  3. Identify current cloud regions/services and exit constraints.
  4. Run a free external exposure sweep with our tool to catch easy wins. Convert findings into 30/60/90-day tasks.

Free Website Vulnerability Scanner – Landing Page

Here, you can view the interface of our free tools webpage, which offers multiple security checks. Visit Pentest Testing’s Free Tools to perform quick security tests.
Here, you can view the interface of our free tools webpage, which offers multiple security checks. Visit Pentest Testing’s Free Tools to perform quick security tests.

Day 6–20: Remediate data-sharing APIs (prove it with evidence)

Objectives: purpose binding, tenant isolation, least privilege, rate-limiting, change control, and retesting—mapped to clauses/evidence in your evidence pack.

1) Enforce purpose binding at the API layer

FastAPI example (Python) — annotate and enforce allowed purposes per client/app):

from fastapi import FastAPI, Depends, HTTPException, Request

app = FastAPI()

# Static registry or DB table mapping client_id -> allowed_purposes
CLIENT_PURPOSES = {
    "partner_app_123": {"billing_reconciliation", "analytics_aggregated"},
    "internal_tool_007": {"customer_support"}
}

def purpose_guard(request: Request):
    client_id = request.headers.get("x-client-id")
    purpose = request.headers.get("x-processing-purpose")
    if not client_id or not purpose:
        raise HTTPException(status_code=400, detail="Missing client or purpose")
    allowed = CLIENT_PURPOSES.get(client_id, set())
    if purpose not in allowed:
        raise HTTPException(status_code=403, detail="Purpose not permitted")
    return {"client_id": client_id, "purpose": purpose}

@app.get("/v1/invoices")
def list_invoices(ctx=Depends(purpose_guard)):
    # downstream services can read ctx["purpose"] for audit logs & DLP
    return {"status": "ok"}

OpenAPI contract snippet (document the x-processing-purpose header):

openapi: 3.0.3
info:
  title: Data-Sharing API
  version: "1.0"
paths:
  /v1/invoices:
    get:
      summary: List invoices
      parameters:
        - in: header
          name: x-processing-purpose
          required: true
          schema:
            type: string
            enum: [billing_reconciliation, analytics_aggregated, customer_support]
          description: Declares the allowed processing purpose for this request.
      responses:
        "200": { description: OK }

2) Enforce tenant isolation at DB level (PostgreSQL RLS)

-- Precondition: each row has tenant_id; session sets current_setting('app.tenant_id')
ALTER TABLE invoice ENABLE ROW LEVEL SECURITY;

CREATE POLICY tenant_isolation ON invoice
  USING (tenant_id = current_setting('app.tenant_id')::uuid);

-- App sets tenant_id per request (from verified token/claim)
-- SELECT set_config('app.tenant_id', '<tenant-uuid>', false);

3) Rate limiting at the edge (NGINX)

# 100 requests/min per API key
limit_req_zone $http_x_api_key zone=api_key_zone:10m rate=100r/m;

server {
  location /v1/ {
    limit_req zone=api_key_zone burst=50 nodelay;
    proxy_pass http://app_upstream;
  }
}

4) Change control with signed config and peer review (GitHub Actions gate)

name: change-control
on: [pull_request]
jobs:
  enforce:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - name: Verify signed commits
        run: |
          git verify-commit $(git rev-list --no-walk HEAD) || exit 1
      - name: Require 2 approving reviews
        run: |
          gh pr view ${{ github.event.pull_request.number }} --json reviews | jq \
            '.reviews | map(select(.state=="APPROVED")) | length' | grep -q '2'

5) Retest and attach proof

  • Re-scan public endpoints after each change (delta scans + manual checks).
  • Export logs: “request purpose header,” “tenant id claim,” “rate-limit hits.”
  • Save diffs (before/after) and attach test notes to your evidence pack.

Vuln Scan Report – Sample Findings to check Website Vulnerability

A sample vulnerability report provides detailed insights into various vulnerability issues, which you can use to enhance your application’s security.
A sample vulnerability report provides detailed insights into various vulnerability issues, which you can use to enhance your application’s security.

Day 21–40: Cloud switching & portability (prove you can exit)

Goals: pre-build exit runbooks, dependency maps, and export tests; capture configurations and logs reviewers will ask to see.

Exit runbook (YAML skeleton)

runbook: cloud-exit
scenarios:
  - id: "primary-to-alt-region"
    rpo: "5m"
    rto: "30m"
    steps:
      - "Freeze writes; drain queues"
      - "Export data (S3 + DB snapshot); verify checksums"
      - "Rehydrate in alt region"
      - "Flip read/write endpoints via DNS"
artifacts:
  - "DB snapshot manifest + checksums"
  - "S3 bucket inventory + lifecycle rules"
  - "IAM diff before/after"
  - "DNS cutover logs"

IAM boundary for export jobs (Terraform)

resource "aws_iam_policy" "export_boundary" {
  name = "export-boundary"
  policy = jsonencode({
    Version = "2012-10-17",
    Statement = [
      {
        "Sid": "S3ExportOnly",
        "Effect": "Allow",
        "Action": ["s3:PutObject", "s3:ListBucket", "s3:GetBucketLocation"],
        "Resource": ["arn:aws:s3:::data-exports/*", "arn:aws:s3:::data-exports"]
      },
      { "Sid": "DenyDangerous", "Effect": "Deny", "Action": ["s3:DeleteObject","s3:PutBucketPolicy"], "Resource": "*" }
    ]
  })
}

Kubernetes egress control for export jobs

apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
  name: export-egress
spec:
  podSelector:
    matchLabels: { job: data-export }
  policyTypes: ["Egress"]
  egress:
    - to:
        - namespaceSelector: { matchLabels: { name: "infra" } }
        - ipBlock: { cidr: 0.0.0.0/0 } # optionally constrain
      ports: [{ protocol: TCP, port: 443 }]

Evidence you’ll want in the evidence pack

  • Exit runbook + last success timestamp.
  • Export logs, checksums, and object manifests.
  • IAM & network policy diffs.
  • Screenshots of a successful restore in the alternate target.

Day 41–60: Consolidate the Evidence Pack & prepare the retest

What to include (make it “reviewer-friendly”):

  • Purpose-binding design, configs, and gateway rules.
  • Tenant isolation proof: RLS policies + unit tests.
  • Rate-limit configs + logs for throttled attempts.
  • Change-control trail: PRs, approvals, signed commits.
  • Cloud exit runbook + last validated drill output.
  • Vulnerability scans and manual test notes from retests.

Auto-collect artifacts with a simple script:

#!/usr/bin/env bash
set -euo pipefail
OUT="evidence_pack_$(date +%F)"
mkdir -p "$OUT"
cp -r infra/policies "$OUT/"
cp -r api/openapi.yaml "$OUT/"
jq '.' logs/retests/*.json > "$OUT/retests.json"
git log --since="60 days ago" --pretty=oneline > "$OUT/change_log.txt"
tar -czf "$OUT.tgz" "$OUT"
echo "Evidence pack created: $OUT.tgz"

Optional DAST gate on retest (GitHub Actions + ZAP baseline):

name: dast-retest
on:
  workflow_dispatch:
jobs:
  zap:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: zaproxy/[email protected]
        with:
          target: ${{ secrets.PUBLIC_BASE_URL }}
          rules_file_name: ".zap/rules.tsv"
          allow_issue_writing: false
      - name: Archive ZAP report
        uses: actions/upload-artifact@v4
        with:
          name: zap-report
          path: report_html.html

Quick start (today)

  1. Run a light external exposure scan: free.pentesttesting.com → triage headers, cookies, redirects, CORS, and basic leaks.
  2. Turn findings into a 30/60/90-day backlog mapped to EU Data Act remediation objectives.
  3. Book a structured risk assessment to prioritize work and align artifacts.
  4. Engage remediation services to accelerate fixes and assemble your evidence pack.

Services to help you execute (no guesswork)

Prefer a package approach for certification-aligned fixes? See ISO 27001 and SOC 2 remediation options as well.


30/60/90-Day Backlog Template (copy/paste)

30 days (critical):

  • Purpose headers enforced on all data-sharing APIs; OpenAPI updated.
  • RLS tenant isolation lives on the top-3 sensitive tables.
  • Rate-limit policies deployed at the gateway + logs exported to SIEM.
  • Exit runbook drafted; first data export smoke test done.
  • Initial evidence pack folder seeded.

60 days (high):

  • Purpose registry tied to client onboarding with approvals.
  • Change-control gate (signed commits + 2 reviews) for API surfaces.
  • Exit drill executed with restore validation in the alternate region.
  • DAST baseline retest attached to PR merges.

90 days (maturing):

  • Quarterly exit drill cadence + checksum attestation.
  • Purpose-binding unit/integration tests in CI.
  • Continuous external exposure checks feeding the risk register.

Further reading on our blog


Ready to move? (Next steps)

Questions or a tricky requirement you want sanity-checked? Email [email protected]—we’ll help you ship an audit-ready outcome.


Free Consultation

If you have any questions or need expert assistance, feel free to schedule a Free consultation with one of our security engineers>>

🔐 Frequently Asked Questions (FAQs)

Find answers to commonly asked questions about U Data Act remediation, data-sharing API security & cloud switching compliance.

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