Banking & Fintech
Banks and financial services operate under strict KYC, AML, sanctions, and data protection rules. Onboarding is expensive and slow, fraud pressure is constant, and regulators expect both strong controls and clear evidence. At the same time, customers demand instant digital sign-up and privacy.
Zakapi for Banking & Fintech
Zakapi delivers privacy-preserving, proof-based compliance. Instead of collecting and storing piles of documents, you express your KYC/AML and risk policies as SQL-style rules over committed customer and transaction databases. Zakapi then generates non-interactive zero-knowledge proofs that those rules were executed correctly on the right, up-to-date data—while customers share only reusable credentials from their wallets.
One-Click, Proof-Backed KYC
Offer “Verify with Zakapi” during onboarding instead of document uploads. The user scans a QR or clicks a link, unlocks their Zakapi wallet, and approves a KYC proof. Behind the scenes:
- Your existing KYC provider or government eID verifies the user once.
- A credential like “KYC passed on [date] by [BankName]” is issued.
- Zakapi binds this credential and your SQL-style KYC and sanctions checks to a non-interactive proof tied to a cryptographic commitment of your compliance database.
You receive an instant, mathematically verifiable “KYC completed & not on sanctions list” result—no raw personal data, no bulk database exports—cutting onboarding from days to seconds.
Reusable Digital Identity & Portable KYC
With user consent, a KYC check done once can be reused across banks, brokers, and fintech apps:
- Bank A issues a “Verified Customer” credential plus a proof that its internal KYC/AML SQL rules were satisfied against its own committed records.
- Fintech B verifies a non-interactive proof derived from that credential and those policies—without seeing Bank A’s underlying data or re-running the checks.
Zakapi acts as the verifiable glue layer, turning prior KYC into portable, regulator-ready proofs instead of repeated data collection.
Selective Financial Credentials & Policy-Aware Proofs
Lend faster and more safely using threshold proofs, not full financial dossiers:
- Ask for a proof that “Credit score ≥ 700” from a credit bureau credential, not the exact score or full report.
- Verify income is within a range or above a threshold using proofs derived from payroll/tax datasets queried via SQL-style policies over committed records.
- Confirm asset ownership or AUM bands without revealing full portfolio composition.
Zakapi’s PoneglyphDB-inspired approach lets you encode these checks as range checks, aggregations, and joins in ZK circuits, so you see only the fact that the policy is satisfied—not the raw numbers.
Frictionless Login & Strong Customer Authentication (SCA)
Zakapi can serve as an identity provider for passwordless login and SCA:
- Customers log in by scanning a QR or using mobile intent with their Zakapi wallet.
- The wallet presents a verifiable credential proving account ownership, backed by a ZK proof that internal account-linkage rules (e.g., device, risk, history) were checked against your committed data.
- This combines something the user has (wallet + private key) and something they are (biometric unlock), satisfying PSD2/SCA while avoiding weak SMS OTP and clunky hardware tokens.
ZK-Backed AML, Sanctions & Risk Checks
Zakapi automates AML and risk screening with provable workflows:
- Your orchestration layer calls providers like Dow Jones, World-Check, or local FIU lists.
- Screening outcomes (e.g., “no sanctions match as of [date]”) are turned into verifiable attributes and bound to a committed compliance database.
- Every onboarding or periodic review produces a non-interactive proof that:
- Sanctions, PEP, and other rules were executed as specified (SQL-style policies), and
- The result was “cleared” or “requires review” at that time.
Auditors and regulators can later re-verify these proofs from logs or caches, without access to production data or re-running the checks.
Privacy-Preserving Open Banking & Data Sharing
Open banking often forces institutions to expose far more data than third-party apps actually need. With Zakapi:
- A budgeting app receives proofs like “stable monthly income ≥ X for the last 6 months”, derived from ZK-verified aggregations over transaction tables, not the raw statements.
- A lending app asks, “Does this customer have at least 2 years of active credit history and no recent delinquencies?” and gets a yes/no proof tied to your committed credit dataset—not a full credit report.
Banks and fintechs can participate in data sharing ecosystems without leaking sensitive data, making privacy a feature instead of a liability.
Regulator-Ready, Verifiable Compliance
Zakapi’s design is aligned with global financial regulations and supervisory expectations around data minimization, auditability, and model transparency:
- Every KYC/AML/credit decision can generate an evidence pack: a non-interactive proof, the policy identifiers (your SQL-style rules), timestamps, and issuer identities.
- Regulators or internal audit teams can independently verify proofs using public keys and commitment hashes, confirming that policies were applied correctly on the authentic, up-to-date dataset—without ever seeing the customer’s PII or your raw tables.
This shifts compliance from “trust us, we logged it” to “verify it directly in math”, easing audits and strengthening your supervisory relationships.
Value Proposition for Banking & Fintech
- Onboard more customers, faster – Replace manual document review with instant, reusable, proof-based KYC and risk checks.
- Shrink data honeypots – Hold fewer sensitive documents and raw datasets; rely on proofs over committed data instead of centralizing everything in one breach-prone store.
- Lower verification costs – Automate checks as ZK-verifiable policies, reduce repetitive KYC, and cut third-party re-screening overhead.
- Use privacy as a competitive edge – Offer “we don’t see what we don’t need” as a core brand promise to customers and regulators.
- Exceed compliance expectations – Move from opaque, log-based assurance to cryptographically verifiable KYC/AML operations, aligned with emerging best practice in regulated finance.