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.

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
- Inventory all data-sharing API endpoints and users (first/third party).
- Map data categories, purposes, consent/contractual bases, and tenants.
- Identify current cloud regions/services and exit constraints.
- 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

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

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)
- Run a light external exposure scan: free.pentesttesting.com → triage headers, cookies, redirects, CORS, and basic leaks.
- Turn findings into a 30/60/90-day backlog mapped to EU Data Act remediation objectives.
- Book a structured risk assessment to prioritize work and align artifacts.
- Engage remediation services to accelerate fixes and assemble your evidence pack.
Services to help you execute (no guesswork)
- Risk Assessment Services — prioritize gaps and build a crisp roadmap (GDPR/ISO/SOC 2 friendly).
- Remediation Services — hands-on fixes with audit-ready artifacts (policy + technical).
- GDPR Risk Assessment & Remediation — if privacy overlaps dominate your scope.
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
- Top 7 Ways to Fix OAuth Misconfiguration in Laravel — practical auth hardening + scanner walk-through.
- Prevent XSSI Attack in Laravel with 7 Powerful Ways — client-side data safety patterns.
- AI App Security Audit: 7 VAPT Reveals & Fixes Critical Risks — real outcomes & artifacts.
Ready to move? (Next steps)
- Run the free scan now → free.pentesttesting.com (attach the results to your backlog).
- Book Risk Assessment Services to prioritize EU Data Act gaps.
- Engage Remediation Services to implement fixes and compile an evidence pack that your stakeholders will trust.
Questions or a tricky requirement you want sanity-checked? Email [email protected]—we’ll help you ship an audit-ready outcome.
🔐 Frequently Asked Questions (FAQs)
Find answers to commonly asked questions about U Data Act remediation, data-sharing API security & cloud switching compliance.