/ FINANCIAL SERVICES

Data-Centric Zero Trust for Financial Services

Protect sensitive financial data with portable policy, cryptographic lineage, and verifiable access control across institutions, cloud platforms, and AI-driven workflows.

Fraud ResilienceAudit-ReadyBuilt for Regulated Financial Systems
/ TRANSACTION STREAM · POLICY-VERIFIEDCONTINUOUS · AUDIT-READY/ LIVE FEEDqueue depth 5INBOX · last 5tx#1024TRADE · AAPL$2.4MUStx#1023WIRE · USD$11MEUtx#1022QUERY · modelAItx#1021ACCESS · PII1 rowAPACtx#1020TRADE · BTC$840KOFAC/ POLICY ENGINE · ABAC18ms p95EVALUATING · policy v8ABAC · role + scopeGEO · jurisdictionRISK · score < 70PURPOSE · use intentTIME · market sessionCLEARED1.4M / daylatest:tx#1024 · TRADE.AAPL · sig=4c01…REDACTED112K / daylatest:tx#1022 · QUERY.model · purpose=researchDENIED3.4K / daylatest:tx#1020 · TRADE.BTC · reason=GEO_OFAC/ AUDIT TICKER · TAMPER-EVIDENTcryptographic lineage · post-quantum ready14:08:11TRADE.AAPLALLOWsig=sha256:4c01…14:08:10TRADE.BTCDENYreason=GEO_OFAC14:08:09QUERY.MODELTRANSFORMpurpose=research · redact=PII14:08:08WIRE.EUALLOWsig=sha256:b9c1…14:08:07INSIDER.READDENYreason=ROLE_MISMATCH

Continuous policy verification on every transaction · every decision logged

/01FINANCIAL DATA RISK

Financial Data Moves Faster Than Traditional Controls

Financial institutions operate across cloud infrastructure, partner ecosystems, trading platforms, AI systems, and global regulatory environments. Sensitive data now moves continuously between users, applications, institutions, and automated workflows.

Traditional security models focus on protecting systems and networks, but once data is copied, exported, or processed downstream, visibility and control weaken. Financial organizations need persistent governance that remains attached to the data itself.

01

Sensitive customer and transaction data exposure

02

Insider risk and unauthorized data movement

03

AI systems accessing regulated financial datasets

04

Fragmented audit and compliance evidence

05

Cross-border and partner data-sharing complexity

06

Long-term exposure of sensitive financial records

/02LATTIX APPROACH

Persistent Governance for Financial Data

Lattix applies zero trust directly to financial data objects. Policies, attributes, encryption controls, and lineage metadata travel with the data as it moves across trading systems, institutions, cloud platforms, AI workflows, and partner environments.

This allows financial organizations to verify access, preserve auditability, and enforce policy continuously — even after data leaves its original system.

01

Portable Policy

Access rules remain attached to financial data wherever it moves.

02

Continuous Verification

Every access, decrypt, and sharing event can be verified cryptographically.

03

Policy-Aware AI Governance

Control what AI systems and agents can retrieve, process, and output.

04

Controlled Collaboration

Enable secure data sharing across institutions, vendors, and regulators.

/03USE CASES

Built for Regulated Financial Data Flows

01

Secure Interbank Data Exchange

Share sensitive datasets across financial institutions while preserving policy, revocation, and auditability.

02

Trading & Market Data Governance

Control access to sensitive market, transaction, and analytics data across teams and systems.

03

Fraud Investigation & Forensics

Trace data lineage, access events, and policy history during investigations or incident response.

04

AI and Financial Analytics Governance

Restrict what AI models, copilots, and analytical tools can retrieve and emit from regulated datasets.

05

Vendor & Third-Party Access

Grant time-bound, policy-bound access to partners and vendors with verifiable usage records.

/04RELEVANT PRODUCTS

Financial-Ready Components of the Lattix Trust Fabric

/05GOVERNANCE

Built for Financial Compliance and Auditability

Financial security requires persistent governance over how sensitive data is accessed, processed, shared, and retained across modern infrastructure.

Lattix supports data-centric zero trust by keeping policy, encryption, and lineage attached to the data itself — enabling verifiable access control and audit-ready operations.

Data-centric zero trustFinancial audit traceabilityInsider-risk reductionAI governance and data controlsRegional and jurisdictional access enforcementCryptographic provenanceLong-term data retention protectionPost-quantum readiness planning

/06WHY LATTIX

From Static Access Control to Persistent Financial Data Governance

Traditional Model

Protect applications and networks while relying on fragmented audit logs.

Lattix Model

Attach policy, proof, and lineage directly to financial data.

Traditional Model

AI systems often inherit broad access after ingestion.

Lattix Model

Policy controls determine what models and agents can retrieve, process, and emit.

Traditional Model

Data governance weakens once data leaves institutional boundaries.

Lattix Model

Portable policy and cryptographic lineage persist across environments and partners.

Secure Financial Data Beyond the Perimeter

Explore how Lattix can help financial institutions govern sensitive data, AI workflows, and partner access with data-centric zero trust controls.

Request Financial Services Technical Brief

Review the architecture for financial data governance and secure collaboration.

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Talk to Engineering

Discuss trading systems, AI governance, partner access, or compliance workflows.

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Explore Trust Fabric

See how Lattix components work together.

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