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Where your data travels · Fintech, NBFC & Digital Payments

One customer. One financial decision. Many systems and partners.

Follow one customer's information through lead generation, device permissions, KYC, bank and Account Aggregator data, bureau checks, fraud screening, the credit or transaction decision, disbursal, payments, repayment, collections, cross-sell and long-term archives - and count every place it ends up, and where you lose control of it.

Show the journey for:
13 stages
  1. 1

    Lead generation, DSA & partner referral control breaks

    +6 places · 6 so far

    The enquiry arrives long before any account exists - a campaign click, an app install, a comparison-site lead, a DSA who already holds a photographed PAN card, a dealer, an employer tie-up, a call-centre callback or a branch walk-in. Within minutes the same person sits in a CRM, an attribution platform, a partner's portal and somebody's own phone.

    Where control breaks: The documents live on somebody's own phone

    Moving hereCustomer identity & contact (new at this stage)PAN, KYC & identity documents (new at this stage)Bank, income & Account Aggregator data (new at this stage)Device & app signals (new at this stage)Cross-sell & marketing profiles· inferred (new at this stage)

    DPDPASomeone asking what a loan would cost has not agreed to be marketed to for the next three years. Give a notice at the point the enquiry is taken, collect only what the enquiry needs, keep the partner who introduced them from keeping their own copy, and decide when a lead that never converted is deleted.

  2. 2

    Registration, device binding & app permissions control breaks

    +5 places · 11 so far

    The customer registers: a mobile number, an OTP, a device bound to the account, and a permission dialogue asking for rather more than the account needs. A device fingerprint, an IP, an app inventory and often a location go to a device-intelligence vendor before any financial data has been given at all.

    Where control breaks: The phone is asked for more than the account needs

    Moving hereContact list, SMS & precise location (new at this stage)Scores, grades & eligibility profiles· inferred (new at this stage)Customer identity & contactPAN, KYC & identity documentsDevice & app signalsCross-sell & marketing profiles· inferred

    DPDPASecurity signals and marketing signals are different purposes and should not travel together. Ask for the permissions the service genuinely needs and say what each one is for, keep device data out of profiling that has nothing to do with fraud, and make a permission withdrawable without the account breaking.

  3. 3

    KYC, identity verification & video KYC

    +3 places · 14 so far

    PAN, an identity document, an address, a photograph, a CKYC reference, and for many flows a video-KYC session with a face match and a liveness check. Copies land with the verification provider, in a document repository, in a manual-review queue when something does not match, and on the device of whoever collected them.

    Moving hereVideo KYC, face & liveness data (new at this stage)Customer identity & contactPAN, KYC & identity documentsBank, income & Account Aggregator data

    DPDPAA verification outcome is usually all you need to keep; the underlying document often is not. Decide which copy is the master, restrict who can open a video-KYC recording, never let an agent's own device be where a KYC document rests, and set a retention rule for the attempts that failed as well as the ones that passed.

  4. 4

    Co-applicant, guarantor, nominee & references

    +2 places · 16 so far

    The file grows to include people who are not the applicant: a co-applicant, a guarantor and their income proof, a nominee, a spouse or parent as the alternate contact, two references and their phone numbers, and in some products a beneficial owner. Most of them are stored as fields on somebody else's record.

    Moving hereCo-applicant, guarantor & reference data (new at this stage)Customer identity & contactPAN, KYC & identity documentsBank, income & Account Aggregator data

    DPDPAEach of these is a separate data principal, and the applicant's consent is not theirs. Create a distinct record for each person with their role written down, give each of them a notice appropriate to that role, restrict who can see a related party's details, and support correction and unlinking when a relationship ends.

  5. 5

    Bank statements, Account Aggregator, income & bureau

    +5 places · 21 so far

    The heaviest collection in the sector, and the fastest. Bank statements uploaded or pulled through an Account Aggregator, parsed by an analysis vendor into salary credits, existing EMIs and cash-flow patterns; income or GST data verified; and a credit bureau report pulled that lists every other loan the person holds.

    Moving hereCredit bureau data (new at this stage)Transaction & payment history (new at this stage)Repayment, delinquency & collection records (new at this stage)Customer identity & contactPAN, KYC & identity documentsBank, income & Account Aggregator data+1 more

    DPDPARaw statements and the figures derived from them are two different things with two different lifespans, and the raw ones rarely need to survive the decision. Use a purpose-bound consent, keep transaction-level detail away from anything that is not underwriting, delete the copies taken for applications that were refused, and give the customer a route to correct a derived figure as well as a factual one.

  6. 6

    Fraud screening, scoring & the automated decision control breaks

    +6 places · 27 so far

    Everything collected so far is combined and judged. A fraud engine, a rules engine and a model produce a risk grade, an eligibility, a price, a limit or a block - and a reason code. A human may review it; often nothing does. The decision, the score and the model version are written to a log and, later, back into the training data.

    Where control breaks: A machine decides, and the customer cannot see how

    Moving hereAutomated & assisted decisions· inferred (new at this stage)Customer identity & contactPAN, KYC & identity documentsBank, income & Account Aggregator dataCredit bureau dataDevice & app signals+2 more

    DPDPAThis is the point where data stops describing the person and starts deciding for them. Record what the model was for and which categories it read, keep a human able to review a material adverse decision, give a reason the customer can actually act on, let them correct a factual input, and keep a fraud suspicion clearly distinct from confirmed wrongdoing.

  7. 7

    Lender allocation, partner banks & networks control breaks

    +4 places · 31 so far

    The file leaves. A routing engine sends the same application to several lenders, each of which makes its own decision and keeps its own copy; a payment business hands identity and transaction data to a partner bank and a network; an NBFC discloses to a co-lender, an insurer and a registry. Each recipient becomes a separate holder of the record.

    Where control breaks: One application, several institutions, one customer who cannot name them

    Moving herePayment instruments & mandates (new at this stage)Loan, agreement & collateral records (new at this stage)Customer identity & contactPAN, KYC & identity documentsVideo KYC, face & liveness dataCo-applicant, guarantor & reference data+4 more

    DPDPAThe customer generally cannot name everyone who now holds their file, and the ones who said no keep it too. Keep a register of who received what, send each recipient the minimum their decision needs rather than the whole application, be clear about which organisation is actually making the decision, and track deletion at the recipients who declined.

  8. 8

    Agreement, e-sign, mandate & activation

    +4 places · 35 so far

    The relationship is executed: an agreement generated and e-signed, a repayment mandate registered, an account or limit activated, sometimes an insurance policy bundled alongside, and for a secured loan a security document, a guarantee and a registry filing. Several systems now hold a signed package containing the customer's identity and bank details.

    Moving hereCustomer identity & contactPAN, KYC & identity documentsCo-applicant, guarantor & reference dataPayment instruments & mandatesLoan, agreement & collateral recordsRepayment, delinquency & collection records

    DPDPADecide which system is the final record and delete the working drafts everywhere else. Keep an optional product like insurance a genuine choice rather than a pre-ticked line in the same package, restrict who can open an executed agreement, and make sure the customer keeps a copy they can actually reach.

  9. 9

    Disbursal, payment processing & settlement

    +3 places · 38 so far

    Money moves, and every movement writes a record somewhere else: a disbursal instruction to a bank, a payment through a gateway and a network, an authorisation, a settlement entry, a reconciliation file, a failure code, a reversal, a merchant payout and an accounting posting.

    Moving hereCustomer identity & contactPayment instruments & mandatesTransaction & payment historyLoan, agreement & collateral recordsRepayment, delinquency & collection records

    DPDPAA ledger entry has grounds to exist for a long time; the metadata bolted onto it usually does not. Keep the transaction record and the behavioural detail on separate clocks, restrict who can export a reconciliation file, and know which of these systems belong to somebody else so a later request is answered honestly.

  10. 10

    Servicing, statements, support & disputes control breaks

    +5 places · 43 so far

    The everyday relationship: statements, EMI schedules and balances, a failed auto-debit, a foreclosure request, a chargeback, a complaint. A support agent opens a console that shows the whole account history, a call is recorded, a screenshot arrives on WhatsApp, and a note is typed about the customer.

    Where control breaks: One question opens the entire account

    Moving hereSupport, complaint & dispute records (new at this stage)Customer identity & contactPAN, KYC & identity documentsBank, income & Account Aggregator dataPayment instruments & mandatesTransaction & payment history+2 more

    DPDPAAn agent handling one question rarely needs the whole file to answer it. Scope the console to what the query needs, verify who is actually asking before disclosing anything, keep notes factual rather than judgemental, set a retention period for call recordings, and make sure a correction made here reaches the systems downstream.

  11. 11

    Adverse action, restriction & recovery control breaks

    +4 places · 47 so far

    The path when things go wrong, and it looks different in each model: a delinquency assigned to an agency with a dialler and a field app; a frozen wallet, a negative balance and an investigation; a branch collection team and a printed list of borrowers. In all three, the customer's details - and their family's - reach people outside the core systems.

    Where control breaks: Recovery partners get the borrower's file — and their family's

    Moving hereCustomer identity & contactPAN, KYC & identity documentsCo-applicant, guarantor & reference dataPayment instruments & mandatesContact list, SMS & precise locationScores, grades & eligibility profiles· inferred+4 more

    DPDPAThis is where the most contact data travels to the least controlled places. Use managed systems rather than personal phones, send an agency the minimum it needs to make contact, keep alternate contacts and family members out of it unless there is a genuine reason, log every assignment and visit, revoke an agent's access the day they leave, and log every disclosure made to an authority.

  12. 12

    Cross-sell, offers, audiences & analytics control breaks

    +2 places · 49 so far

    Repayment behaviour, transaction history and spend categories become a customer-value band, a propensity score, a pre-approved offer, a cashback segment and an audience uploaded to an advertising platform - reaching the customer by SMS, push, WhatsApp, a call-centre campaign, a DSA follow-up list or a branch sales sheet.

    Where control breaks: How they repay becomes how they are targeted

    Moving hereCustomer identity & contactTransaction & payment historyScores, grades & eligibility profiles· inferredRepayment, delinquency & collection recordsCross-sell & marketing profiles· inferredSupport, complaint & dispute records

    DPDPAA service message and a promotion are different things and need different choices. Keep one suppression list that every channel checks, be able to explain what a segment was built from, keep financial-distress and transaction-category signals out of advertising audiences, and make a withdrawal reach the partner and agency lists too, not just your own database.

  13. 13

    Closure, rejected applications, archive & deletion control breaks

    +4 places · 53 so far

    Everything settles: the closed loan, the shut wallet, the branch's physical file, the data warehouse, the model-training set, the vendor and DSA copies, the backups - and the fullest file of all, belonging to the people who were refused and never became customers at all.

    Where control breaks: The fullest files belong to the people you refused

    Moving hereCustomer identity & contactPAN, KYC & identity documentsVideo KYC, face & liveness dataCo-applicant, guarantor & reference dataBank, income & Account Aggregator dataCredit bureau data+8 more

    DPDPARetention has to be decided per record, not per person. A ledger entry, a live account and a record another law requires you to hold have grounds to stay; a bank statement pulled for an application that was refused two years ago does not. Separate what must be kept from what has merely never been deleted, suppress cross-sell the day an account closes, and write down the copies you know you cannot reach.

In this reference model, one customer's data ends up in 53 distinct places across 13 stages, with 8 places where control breaks.

Top risk hotspots - where control usually breaks

The 8 places customer data most often slips out of your control. Each links to the matching check in the readiness assessment.

  1. Hotspot 1 Critical risk

    Identity, bank statements, bureau history, device signals, behaviour and - in a branch model - a field officer's written impression are combined by a scoring model and a rules engine. Out comes an approval, a refusal, an amount, a price, a limit or a block, usually in seconds and usually without a human. The output is stored as a fact about the person and reused: sent to the lenders the file is routed to, written into their credit record, read again when the account goes into arrears, and folded back into the data the next model is trained on.

    Why this matters

    This is the one thing this sector does that no other in this series does: the product is a judgement about the person. Everywhere else a business holds records and the risk is that a record escapes. Here a refusal, a lower limit or a higher price becomes a new and durable fact that follows the customer to every other lender - and they typically cannot find out which inputs were used, cannot tell whether one of them was simply wrong, and have no route to ask a person to look again. A stale bureau entry, a shared household handset or a mis-parsed statement line can decide an outcome that nobody ever explains.

    Fix: For every decision that materially affects a customer, record what the model or rule was for, which data categories it read and which version decided. Keep a human able to review any adverse outcome within a stated time, and give a reason the customer can actually act on rather than a code. Let them correct a factual input and have the decision re-run. Keep an open suspicion clearly marked as unproven in the data itself, so it is never read later as an established finding.

    Check this in the assessment
  2. Hotspot 2 Critical risk

    At registration the app requests permissions and binds the device: identifier, operating system, IP, SIM data, app version, integrity result and location. In app-first lending the request often extends to the phone's contact list, its transactional SMS inbox and the list of installed applications, and the whole set is passed to a device-intelligence vendor. All of this is collected before any financial information has been given, and refusing usually means not having the product at all.

    Why this matters

    Signals gathered to stop fraud are routinely reused to judge creditworthiness and to target offers, which turns a handset into a proxy for a person. The sharpest form is the contact list: everyone in it becomes a data principal in a lender's systems, none of them applied for anything, none was told, and none can ask to be removed because they do not know they are there. That same list is what turns into a contactability sheet the day the account goes bad - which is how a borrower's colleagues and relatives end up receiving calls about a loan that is not theirs.

    Fix: Ask only for the permissions the service genuinely needs and state the purpose of each one separately rather than bundling them into sign-up. Do not read the contact list or the SMS inbox for credit or collections purposes. Keep security signals out of credit and marketing models unless that use is disclosed, contract for what the device vendor may retain, and make every permission withdrawable without the account breaking.

    Check this in the assessment
  3. Hotspot 3 Critical risk

    When an account goes past due it is assigned to an external agency, and the assignment carries far more than the balance: the borrower's identity and address, days past due, the loan or wallet history, the alternate contacts, the references given at application and often the guarantor. The agency works it from its own dialler, its own field staff and, frequently, personal phones. In a branch model the same account may also go to an in-house field team with a printed list.

    Why this matters

    This is the largest transfer of contact data in the sector, going to the environment with the least control over it - and a large share of the people in it never borrowed anything. A reference given at application, a guarantor, a spouse listed as an alternate contact, an employer's switchboard: each call to them discloses that somebody has a loan and that it is in trouble. Agencies work for several lenders at once, staff turn over constantly, and assignment lists routinely outlive the engagement on devices nobody can reach.

    Fix: Send the minimum needed to make contact with the borrower, never the whole file, and keep third-party contacts out of the assignment unless the borrower genuinely cannot be reached at all. Require the work to happen inside a managed application with export disabled, log every assignment, contact and visit, revoke access the day an account is recalled, and get written confirmation of deletion when an engagement ends - then sample it rather than trusting it.

    Check this in the assessment
  4. Hotspot 4 Critical risk

    The file leaves the business to be acted on elsewhere. A routed application goes to several lenders at once so that one of them says yes; a wallet or UPI handle sits behind a sponsor bank and a payment network; a secured loan is disclosed to a co-lender, an insurer and a registry. Each recipient receives identity, KYC, bank data, the bureau report and the score, makes its own decision, and keeps its own copy under its own rules - including the ones that said no.

    Why this matters

    The customer experienced one enquiry and cannot usually name a single organisation that now holds their financial file. The institutions that declined keep it too, and they have no relationship with the customer through which anything could be corrected or deleted. Without a register recording who received what and when, an access request cannot be answered honestly and an erasure request cannot travel any further than your own database.

    Fix: Keep a disclosure register per application - who received it, which fields, when and why. Send each recipient only what its decision requires rather than the whole file, and tell the customer before submission which institutions it may go to. Be explicit about which organisation is actually lending or holding the money. Contract for deletion at the institutions that declined, and check it.

    Check this in the assessment
  5. Hotspot 5 Critical risk

    A DSA photographs a PAN card at the customer's kitchen table. A telecaller runs the follow-up on a personal WhatsApp thread. A branch officer keeps a camera roll of application documents. A recovery officer calls from their own number. The same handset touches the journey at four separate points - the lead, the KYC, the servicing conversation and the arrears call - and none of it is a system the business owns.

    Why this matters

    Identity documents, bank statements and borrower lists end up in a personal camera roll and a personal chat backup that the company cannot search, cannot audit and cannot wipe. When the person moves on - and in these roles they move on often - the data goes with them, along with the relationship. It is also the copy that never surfaces when someone asks what is held about them, because nobody counted it as a system in the first place.

    Fix: Give every customer-facing role a managed application that submits documents without storing them, and business numbers rather than personal ones for customer contact. Put the prohibition on photographing documents to personal devices in writing, in the partner contract as well as the staff policy. Revoke access the day someone stops working the account, and make the managed route genuinely easier than the phone or it will not be used.

    Check this in the assessment
  6. Hotspot 6 Critical risk

    A customer asks why a payment failed. The agent opens a console showing identity, KYC status, statements, every transaction, the risk score, the decision that was made about them, the collection notes and whatever the previous three agents typed. The call is recorded, a screenshot may travel over WhatsApp, and a new note is added to the file.

    Why this matters

    The widest routine access in the business sits with its highest-turnover role, and it is scoped to the customer rather than to the question. Callers are often verified using details the caller themselves supplied. Notes written in a hurry become permanent characterisations that influence how the next agent, and sometimes the next decision, treats the person. And in most of these systems a list can be exported by anyone who can read it.

    Fix: Scope the console to the type of query and reveal the rest only on a recorded reason. Verify the customer against something they did not just tell you. Keep notes factual and remember the customer can ask to see them. Set and enforce a retention period for call recordings, and alert on bulk reads and exports rather than only on failed logins.

    Check this in the assessment
  7. Hotspot 7 High risk

    Repayment conduct, transaction categories and account behaviour are turned into a customer-value band, a propensity score, a pre-approved offer, a cashback segment, a branch sales list and a lookalike audience uploaded to an advertising platform. The customer receives an SMS, a push, a WhatsApp message, a call-centre campaign or a DSA follow-up they never asked for.

    Why this matters

    The data was collected to lend money or to move it, not to advertise - and the signals with the most commercial value are the ones about financial pressure. Being profiled as a person who might need a top-up is a conclusion drawn from a missed instalment. The customer cannot see which segment they are in or what put them there, and a withdrawal given to the app rarely reaches the partner lists, the agency lists, the branch sheets and the audiences already uploaded.

    Fix: Take a separate, unbundled choice for marketing and keep it apart from the service messages the customer must receive. Keep financial-distress and transaction-category signals out of targeting altogether. Hold one suppression list that every channel checks before it sends - app, SMS, call centre, WhatsApp, partner, branch and ad platform - and set an expiry on every audience you have uploaded.

    Check this in the assessment
  8. Hotspot 8 Critical risk

    Applications that were refused, abandoned halfway or approved and never taken up leave behind a complete file: KYC documents, bank statements or Account Aggregator extracts, the bureau report, the device profile, the score and the rejection reason. It sits in the archive, it is often included in model-training data, it stays on the marketing list, and the same file is also held by every lender the application was routed to.

    Why this matters

    These are the most complete records the business holds about the people with the least relationship to it - and there is usually no retention rule at all, because nobody owns non-customers. The person got nothing, has no account to close and often does not know the file exists. Meanwhile the refusal itself keeps working: it trains the next model and, in some businesses, brings the next marketing call.

    Fix: Set a short operational retention for refused and abandoned applications and delete the raw documents first - the statements and the identity copies, not just the record. Keep a narrow, recorded exception where there is a genuine fraud or legal reason. Suppress these people from marketing immediately, exclude them from training data unless that use has been disclosed, and ask the lenders the file was routed to for deletion as part of the same job.

    Check this in the assessment

What happens when someone asks

The map above shows where customer data ends up. This is what that means the day someone asks you to find it, fix it or remove it - including the places a request realistically cannot reach.

Who asks: A customer, a rejected applicant, or someone who only ever downloaded the app

Where you have to look

  • Customer master databaseYour company
  • KYC document repository & review queueYour company
  • Decision & model-version logYour company
  • Support & servicing consoleYour company
  • Central data warehouse & analytics stackYour company
  • CRM & lead-management systemYour company
  • Closed-account & loan archiveYour company
  • Staff & agent personal phones and WhatsAppYour company

Where this usually cannot reach

  • Partner lenders, banks & payment networksPartner lenders, banks & payment networks
  • Vendor, partner & DSA residual copiesTechnology, KYC, scoring & platform vendors
  • Backups & disaster recoveryTechnology, KYC, scoring & platform vendors

What has to happen

  1. Verify who is asking against something they did not simply supply in the request itself.
  2. Search on every identifier the person has ever had with you - mobile number, customer ID, PAN, application number, device and, for a payments business, the handle or wallet ID. One person routinely exists under several.
  3. Pull the obvious systems: the customer master, the KYC repository, the loan or wallet record, the support and ticket history, and the archive.
  4. Pull the less obvious ones, which is where most access answers fall down: the lead record from before they were a customer, the decision and the score, the analytics copy in the warehouse, and any collections or dispute file.
  5. Include what the business worked out about them, not only what they gave you - the risk grade, the eligibility, the segment they sit in.
  6. Ask the customer-facing team what is on their own phones and in their chat threads, because none of it is searchable.
  7. Name the recipients: the institutions the file went to, the bureau, the verification provider, the agency. Use the disclosure register rather than memory.
  8. Send it in a form the person can actually read, and record what was sent and when.

The part that usually fails: The systems nobody counts. The lead record, the warehouse copy, the score, the personal phone and the spreadsheet on somebody's laptop are all personal data, and none of them appears when a team is asked to 'pull the customer's file'. Without a maintained register of processors and partners, the answer will also quietly omit every copy that has left the building.

Check whether you could answer this today

When it has already gone wrong

An operational response reference for the incidents this sector actually has - what to do in the first hour, what to put right afterwards, and the control that stops a repeat. Whether an incident needs to be reported is a decision to take with your own advisers.

Severe

How you find out: A DSA, telecaller or field officer reports their handset stolen — and mentions that customer documents were on it

Systems involved

  • Staff & agent personal phones and WhatsAppYour company
  • KYC document repository & review queueYour company
  • Customer master databaseYour company
  • DSA, dealer & partner portalDSAs, agents, bureaus & recovery partners
  • Recipient & disclosure registerYour company

First - stop it spreading

  1. Revoke every system credential that handset held, including the partner portal and any shared login.
  2. Disable the WhatsApp Business session and remove the number from customer-facing use.
  3. Establish what was actually on it - document photographs, chat threads, downloaded lists, screenshots - by asking specifically rather than generally.
  4. Where the device was enrolled in management, wipe it; where it was not, say so in the record rather than assuming it was clean.

Then - correct it and record it

  1. Identify the customers whose documents were on the device, using the application records that person handled in the relevant period.
  2. Assess what the exposure actually enables - identity documents and bank details, so consider what a person could do with them, not just how many files there were.
  3. Decide on customer communication as a deliberate decision, recorded with its reasoning either way.
  4. Preserve the evidence: the handover record, the access logs, the list of applications the person touched.
  5. Write the incident record while people still remember, including what could not be established.

The control that prevents a repeat: The fix is not a stricter policy - it is removing the reason the phone was used. Give every customer-facing role a managed application that submits documents without storing them, and business numbers for customer contact, then make that route faster than the camera roll. Revoke access the day someone stops working the book.

How to read this journey

Pick your model

Switch between Digital lending / LSP, Payments, wallet or UPI fintech and Multi-product NBFC to see the journey each kind of business actually runs. This is not a filter over one journey - a digital lender routes one application to several lenders and reads signals off the handset; a payments business never underwrites anyone but screens every transaction in real time and holds a map of who paid whom; an NBFC takes the co-applicant, the guarantor and the neighbour's opinion, sends a valuer to the house, keeps a paper file and can end up at a public auction. The stage count and the place-counter recalculate for the model you choose.

When it leaves you

A violet left edge and a tag mark everything outside your company - the DSA or dealer who introduced the customer, the KYC and video-KYC providers, the Account Aggregator, the statement-analysis vendor, the credit bureau, the lenders and partner banks the file is sent to, the payment networks, the recovery agency, the valuer, external counsel and anything that becomes a public listing. Once data is there your control is indirect at best. Risk is shown separately, as an amber or red fill - so a regulated bank can be low risk, and the phone in your own agent's pocket can be one of the worst things on the page.

Where control breaks

Red flags mark the hotspots - the eight places these businesses most often lose control of customer data, starting with the one that is unique to this sector: the decision itself, which becomes a permanent fact about the person that they cannot see or check. Tap any system to see what it holds and how to fix it.

Now check whether your controls hold up

The map shows where customer financial data travels in a typical fintech, NBFC or payments business. The 3-minute readiness scan checks whether your business has the controls that matter at each hotspot - and the Discovery tool builds your own data inventory.

Educational reference model - not legal advice, and not a scan of your actual systems.