Risk and Governance squad

AI data protection officer support for compliance data

Dalia Shield, Director AI Data Protection, an AI agent by FluxForceDalia Shield — Director AI Data Protection

Dalia Shield is an AI agent that classifies the personal data your compliance systems hold, applies your consent and retention rules and prepares responses to data subject requests. When an erasure request collides with AML record-keeping, she flags it so your DPO and MLRO decide together. She supports your DPO and doesn't replace one.

Dalia Shield
Dalia Shield, Director AI Data Protection, an AI agent by FluxForce
Erasure request received
IllustrativeSent to DPO
Conflict · AML record hold
Flag explained
“Linked case record falls under AML retention. Needs MLRO review.”
GDPR Art. 17PMLA
REPORTS TO
Your DPO, with your MLRO on AML records
Shadow mode first
How Dalia works with your team
Shadow mode
first: nothing acts until you say so
3 bands
of autonomy you configure
Every decision
has a replayable record
1 per agent
kill switch
SaaS · on-prem · hybrid
deployment
Product controls, not performance claims. Performance is measured on your data, in shadow mode.
The problem

The problem with compliance data is that it's personal data

Screening results, KYC documents, transaction alerts and case notes are all personal data. Privacy law gives customers rights over them. AML law tells you to keep them. Your DPO and your MLRO often find out about the conflict from the same customer request.

REQUEST QUEUE
One month

to answer a GDPR data subject request

The data sits in five compliance systems.

Two laws, one record

Erase it or keep it

A customer asks for erasure. Their record is tied to an alert or a case your AML obligations say you keep. Get it wrong one way and you breach privacy law. Get it wrong the other way and you breach AML law.

Access requests

Everything about one customer

An access request means finding a person's data across screening, monitoring, KYC and case systems, then deciding what can be shared. Some of it can't be shown without risking tipping off.

Pipelines

Data copied where nobody looked

Alert and KYC data gets copied into analytics, model training and reports. Each copy needs a lawful basis and a retention rule, and most never get one.

Job description

What Dalia Shield does Job description

Dalia Shield is a Director AI Data Protection. She keeps track of the personal data inside your financial crime and compliance systems and prepares the privacy work your DPO signs off.

AI AGENT · RISK AND GOVERNANCE SQUAD
Dalia Shield, Director AI Data Protection, an AI agent by FluxForce
DALIA SHIELD
Director AI Data Protection
REPORTS TO
Your DPO, with your MLRO on AML records
WORKS WITH
Your KYC, screening, monitoring, case management and analytics systems
DEPLOYED
Shadow mode first, then the autonomy you set
KEY RESPONSIBILITIES
01Classify personal data across KYC, screening, monitoring and case systems
02Apply your consent and retention rules, and flag records past their retention date for review
03Prepare data subject access and erasure responses for your DPO to approve
04Flag requests that touch AML records so your DPO and MLRO review them together
05Check analytics and model pipelines for personal data without a recorded lawful basis
AUTONOMY MODEL
Low risk
Can tag and classify records, if you allow it
LOW
Medium risk
Goes to your privacy team by default
MEDIUM
High risk
Anything touching AML records always goes to your DPO and MLRO
HIGH
You set the threshold per rule.
Kill switch: Turn Dalia off at any time
Shadow mode

What to measure in shadow mode on your own data

We don't publish performance numbers from our own tests. Run Dalia Shield over your compliance data and recent requests, and check her work against your privacy team's.

01
Records classified
Share of compliance records with a personal data classification.
02
Classification agreement
How often your privacy team agrees with Dalia's labels.
03
AML conflicts flagged
Requests that touch AML records, flagged before a response is drafted.
04
Missed conflict review
Conflicts your team found that Dalia didn't flag. Read this number first.
05
Requests on time
Share of data subject requests ready for DPO review well inside the legal deadline.
06
Retention flags
Records past their retention date, and whether your team agrees.
07
Pipeline findings
Copies of personal data with no recorded lawful basis or retention rule.
08
Decisions with evidence
Share of privacy decisions with a replayable record. The target is all of them.
Shadow mode results belong to you. We agree the data scope, the metrics and who reviews Dalia's findings before the trial starts.
How it works

How AI data protection works with Dalia Shield

Dalia Shield reads from your systems through APIs. Your data stays where it is.

01

Discover

Dalia scans the fields and documents in your KYC, screening, monitoring, case and analytics systems and finds where personal data sits, including copies outside the system of record.

02

Classify

Each record gets a classification, a lawful basis from your records of processing and a retention rule from your policy. Records tied to AML obligations are marked so they're never treated like ordinary customer data.

03

Route

Your autonomy settings decide what happens next. Tagging can run on its own if you allow it. Data subject responses go to your privacy team. Anything that touches an AML record always goes to your DPO and MLRO together.

04

Record

Every classification, request, response and approval goes into tamper-evident evidence storage, so your DPO can show a regulator how each request was handled.

Want to see this on your data?

Run Dalia Shield in shadow mode over one system and your recent data subject requests. She classifies and drafts, and nothing is changed, deleted or sent. Compare her work with your privacy team's.

Request a shadow mode trial
Compliance and regulatory mapping

Regulatory frameworks Dalia Shield supports

Dalia doesn't make you compliant. She prepares the records and responses these laws expect your DPO to produce.

GDPR Article 15
Customers can access their personal data, with requests answered within one month. Dalia finds the data across compliance systems and drafts the response.
GDPR Article 17
Customers can ask for erasure. Dalia flags requests that touch AML records so your DPO and MLRO decide together.
GDPR Article 22
Customers have rights around automated decisions. Dalia records where a person reviewed an AI agent's recommendation.
GDPR Article 30
Controllers keep records of processing. Dalia links each compliance dataset to its entry in those records.
Digital Personal Data Protection Act 2023 (India)
Indian data fiduciaries handle personal data under the DPDP Act. Dalia applies your consent and retention rules to compliance data.
UAE PDPL
Federal Decree-Law 45 of 2021 governs personal data in the UAE. Dalia classifies compliance data under the rules your DPO sets.
Analyst view

What your DPO sees

Every request arrives with the data found and any AML conflict flagged.

BEFORE DALIA SHIELD
Personal data mapped by questionnaire
Access requests searched system by system
AML conflicts found after the response is drafted
Retention dates tracked in a spreadsheet
Analytics copies nobody knows about
AFTER DALIA SHIELD
Personal data classified across compliance systems
Draft responses with the data already found
AML conflicts flagged to DPO and MLRO first
Records past retention flagged for review
Pipeline copies checked for a lawful basis
Options

How the options compare

CRITERIA Privacy team by handData discovery tool Dalia Shield, Director AI Data Protection, an AI agent by FluxForceDalia Shield
Finding personal data Questionnaires and interviewsScans for data types Scans compliance systems and knows which records are AML records
Who approves responses DPODPO DPO, with MLRO on AML records
AML record conflicts Caught if someone asksNot covered Flagged before a response is drafted
Request deadlines Tracked by handSometimes Tracked for every request
Analytics and model pipelines Rarely checkedFinds the data, skips the lawful basis Checks for a recorded lawful basis and retention rule
Where it's weaker Slow and hard to repeatNo compliance context Applies the rules you give her. She won't settle a legal question on retention, so your DPO and counsel still do
Trust Builders

Built for Regulated Financial Institutions

01

Configurable autonomy

Low risk can run on its own if you allow it. Medium risk goes to a person by default. High risk always goes to a person. You set the bands per rule, channel and transaction type.

02

Kill switch

Turn Dalia off without touching the other agents or your core systems. The switch, and who used it, is stamped on the record.

03

Shadow mode

Run Dalia on live data with nothing blocked or closed. Compare the calls with your team's before anything changes.

04

Explainability

Every decision answers why, in plain English, with the signals and the rule or policy behind it.

05

Audit trail

Each decision is stored with its inputs, its reasoning and the person who approved it, in tamper-evident evidence storage.

06

No migration

Agents connect beside your systems through APIs. Your core banking, screening and case tools stay where they are.

Questions? We Have Answers

Frequently Asked Questions

FluxForce

Still have questions?

Talk to the people who build the agents. We'll answer per capability, yes or no.

It's an AI agent that does the discovery, classification and drafting work behind a privacy function. Dalia Shield finds personal data in your compliance systems, applies your consent and retention rules and prepares data subject responses. Your DPO reviews and approves every response.

No. Where law requires a data protection officer, that's a person you appoint and who stays accountable. Dalia prepares the work. Your DPO decides and signs off. A kill switch turns her off without touching your other systems.

She checks whether the customer's data is tied to records your AML obligations require you to keep. If it is, the request goes to your DPO and MLRO together with the linked records listed. They decide what can be erased and how to respond.

No. Dalia drafts responses and flags records for review. A person on your privacy team approves and sends every response, and any deletion runs through your own systems and approvals.

Dalia classifies data in one system and drafts responses to recent requests, but nothing is changed, deleted or sent. You compare her work with your privacy team's and decide what to switch on.

Read access to your KYC, screening, monitoring, case and analytics systems, your records of processing and your retention policy. Past data subject requests help her learn how your team responds.

FluxForce runs as SaaS, on-premise or hybrid, built on Microsoft Azure. We agree data residency and which components run inside your environment during deployment design, before any data moves.

Shadow mode trial

See Dalia on your data before anything changes

Run Dalia Shield beside your current process. She works on your live data and records every call, and nothing is blocked, closed or sent until you decide.

  • Runs in shadow mode on your own data, next to your team
  • You agree the metrics, the time window and who reviews the results
  • Kill switch and a replayable record of every decision from day one
  • SaaS, on-premise or hybrid, with data residency agreed up front

Shadow mode results belong to you.

Take the first step

AI agents that prepare the case. Your team makes the call.

Start with one workflow in shadow mode, then decide how much each agent does on its own.

How we start
Discovery and scoping
Integration beside your systems
Shadow mode
Controlled autonomy
Govern and improve