deepidv
All AI Prompts
FinTechTask Prompt

Compliance Prompt for Italian CIE eID Credential Ingestion

This **Arc** task prompt configures your European identity ingestion endpoint to parse Italian biometric electronic identity card (**CIE**) tokens following the August 4 transition under eIDAS 2.0. Arc, the deepidv credential and wallet gateway agent, returns a CIE parse configuration with certificate chain validation against the Italian national infrastructure, a hardware signature validation sequence with chip authentication and clone detection, a device telemetry layer that confirms a live NFC session inside the 150 millisecond budget, and a fallback plan for devices without NFC. Built for onboarding engineers and compliance leads at fintechs serving Italian customers who need CIE reads trusted at the signal level, not just the document level.

Compliance Prompt for Italian CIE eID Credential Ingestion

How to use this prompt

  1. 1

    Open Arc in the deepidv dashboard and paste the full prompt, or run it in Claude, ChatGPT, or Gemini if you are drafting the integration design outside the platform.

  2. 2

    Replace the INPUT section with your ingestion endpoint detail, Italian channel volumes, current NFC read handling, collected device telemetry, and the latency budget for the credential validation step.

  3. 3

    Run the prompt and read the CIE parse configuration first, confirming certificate chain validation against the Italian national infrastructure runs before any field mapping.

  4. 4

    Hand the hardware signature validation sequence and device telemetry layer to your gateway engineer, and route the fallback plan to your onboarding product owner for the no-NFC path.

  5. 5

    Re-run the prompt after each Italian scheme update and each eIDAS 2.0 implementing act so the parse path stays current through the transition window.

The prompt

Arc, configure our European identity ingestion endpoint to parse Italian biometric electronic identity card (CIE) tokens following the August 4 transition. Ensure the gateway validates embedded NFC hardware signatures and client device telemetry in under 150 milliseconds.

ROLE:
You are Arc, the deepidv credential and wallet gateway agent. You define how national eID credentials enter a verification pipeline: the parse rules, the cryptographic validation, and the telemetry checks that confirm the reading device is genuine.

CONTEXT:
Italy's August 4, 2026 transition made the biometric Carta d'Identità Elettronica (CIE) a primary onboarding credential for financial services under the eIDAS 2.0 framework. The card carries an NFC chip whose embedded hardware signature proves the credential is genuine and unaltered, but a signature check alone is not enough: the gateway must also verify that the client device reading the chip is a real phone with a live NFC session, not an emulator replaying captured chip data.

INPUT, the user will paste:
- The European identity ingestion endpoint and the eID credential types it parses today
- Italian onboarding volume and the channels where CIE reads will occur (native app NFC, mobile web fallback)
- Current NFC read handling, if any: chip authentication steps, certificate chain validation, clone detection
- Client device telemetry currently collected during credential reads
- The end-to-end latency budget for the credential validation step

TASKS:
1. Configure the CIE token parse path: the data groups read from the chip, the certificate chain validated against the Italian national infrastructure, and the field mapping into the existing identity schema.
2. Define the NFC hardware signature validation sequence, including chip authentication and clone-detection checks, ordered so the cheapest rejection happens first.
3. Attach the client device telemetry checks that confirm a genuine device and a live NFC session, and fit the combined validation inside the 150 millisecond budget.
4. Specify the fallback flow for devices without NFC and the treatment of legacy Italian credentials during the transition period.

OUTPUT FORMAT, return the following structured response:

1. CIE PARSE CONFIGURATION
- Data groups read, certificate chain validation steps, and the schema mapping for each extracted attribute
- Rejection rules for expired, revoked, or malformed tokens

2. HARDWARE SIGNATURE VALIDATION
- The chip authentication and clone-detection sequence with the pass or hold decision at each step
- The evidence retained per read for a supervisory inquiry

3. DEVICE TELEMETRY LAYER
- The telemetry checks paired with each NFC read (emulator flags, session liveness, replay indicators) and their latency cost
- The combined latency ledger showing the validation path inside the 150 millisecond budget, and what runs asynchronously if the budget tightens

4. FALLBACK AND TRANSITION PLAN
- The verification path for devices without NFC and the criteria that route a user to it
- Handling for legacy Italian credentials during the transition window, with the retirement date logic

Where the supplied endpoint detail or latency budget is insufficient to place a check, flag the question instead of guessing.

Test it in Claude or another LLM

This prompt is built for the Arc agent inside deepidv, where Arc configures the live ingestion endpoint that parses CIE tokens and validates NFC hardware signatures in production. You can dry-run the same workflow in any general LLM first with synthetic endpoint data to review the parse configuration and latency ledger before changing the gateway.

  1. 1

    Paste the full prompt into Claude, ChatGPT, or Gemini, but replace the opening 'Arc,' with a role instruction such as 'Act as an eID integration architect configuring Italian CIE credential ingestion under eIDAS 2.0.' Keep the four OUTPUT FORMAT sections exactly as written.

  2. 2

    Under the INPUT section, paste the synthetic sample block below so the model has an endpoint, channel volumes, and a latency budget to design against.

  3. 3

    Add one framing line: 'This is synthetic test data. Where a validation step or latency cost cannot be derived from the input, flag it as an open question instead of guessing.'

  4. 4

    Check the output shape: a CIE parse configuration with certificate chain steps and schema mapping, a hardware signature validation sequence with pass/hold decisions, a device telemetry layer with a latency ledger against the 150 millisecond budget, and a fallback and transition plan. If a section invents a chip capability the input does not support, tighten the role line and re-run.

  5. 5

    Once the output shape is right, run it live in the deepidv dashboard where Arc configures it against your real ingestion endpoint and device telemetry.

Synthetic sample data to paste alongside the prompt

Fake test data, safe to share with any LLM. Swap in your own once the output looks right.

INGESTION ENDPOINT (synthetic, fake):
- Endpoint: /identity/ingest-eid, currently parses German eID and Spanish DNIe tokens
ITALIAN VOLUME (fake): projected 12,000 CIE reads/month; channels 80% native app NFC, 20% mobile web fallback
NFC HANDLING TODAY (fake): reads chip data groups; no certificate chain validation; no clone detection
DEVICE TELEMETRY (fake): OS version and app integrity flag only
LATENCY BUDGET (fake): credential validation step 150ms target, 250ms hard cap

FAQ

What changed for Italian onboarding on August 4, 2026?

Italy's August 4 transition made the biometric Carta d'Identità Elettronica (CIE) a primary electronic identity credential for financial onboarding under the eIDAS 2.0 framework. Firms onboarding Italian customers are expected to parse CIE tokens and validate the chip's embedded hardware signatures rather than relying on document photos alone.

What does the CIE's NFC hardware signature prove?

The chip signs its data with keys anchored in the Italian national certificate infrastructure, which proves the credential is genuine and its data groups are unaltered. Chip authentication and clone-detection steps then confirm the physical chip is present in the session rather than a copied data dump.

Why validate device telemetry when the chip signature already passed?

Because captured chip data can be replayed from an emulator, where a valid signature is presented without a live NFC session. Arc pairs each read with client device telemetry (emulator flags, session liveness, and replay indicators) so the gateway trusts the read, not just the token, all inside the 150 millisecond budget.

Can I use this prompt outside the deepidv dashboard?

Yes. The structure works in Claude, ChatGPT, or Gemini as an integration-design framework and will return the parse configuration, validation sequence, telemetry layer, and fallback plan. Live endpoint configuration and NFC telemetry checks only work when it runs inside the deepidv dashboard.

Run it with live verification data

These prompts work in any LLM. Inside the deepidv dashboard, Luna, Arbiter, and Arc run them against your real sessions, screening lists, and audit trails.

Book a Demo