/ 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.
Additional focus
Every transaction verified against policy · every decision logged with proof
/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.
Sensitive customer and transaction data exposure
Insider risk and unauthorized data movement
AI systems accessing regulated financial datasets
View 3 more risk signals
01Risk signal 04
Fragmented audit and compliance evidence
02Risk signal 05
Cross-border and partner data-sharing complexity
03Risk signal 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.
Portable Policy
Access rules remain attached to financial data wherever it moves.
Continuous Verification
Every access, decrypt, and sharing event can be verified cryptographically.
Policy-Aware AI Governance
Control what AI systems and agents can retrieve, process, and output.
Controlled Collaboration
Enable secure data sharing across institutions, vendors, and regulators.
/03USE CASES
Built for Regulated Financial Data Flows
Secure Interbank Data Exchange
Share sensitive datasets across financial institutions while preserving policy, revocation, and auditability.
Trading & Market Data Governance
Control access to sensitive market, transaction, and analytics data across teams and systems.
Fraud Investigation & Forensics
Trace data lineage, access events, and policy history during investigations or incident response.
View 2 more use cases
01AI and Financial Analytics Governance
Restrict what AI models, copilots, and analytical tools can retrieve and emit from regulated datasets.
02Vendor & 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 Security Fabric
Lattix Policy Engine
Local enforcement of ABAC decisions across APIs, services, applications, and datasets.
View 3 more products
01Lattix Lineage
Tamper-evident proof for policy versions, access events, and audit roots.
02Lattix CAS
Cryptographic content identity for datasets, reports, models, and transaction artifacts.
03Lattix PQE
Hybrid post-quantum encryption for long-lived financial records and sensitive data.
/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.
More governance themes
/06WHY LATTIX
From Static Access Control to Persistent Financial Data Governance
Protect applications and networks while relying on fragmented audit logs.
Attach policy, proof, and lineage directly to financial data.
AI systems often inherit broad access after ingestion.
Policy controls determine what models and agents can retrieve, process, and emit.
Data governance weakens once data leaves institutional boundaries.
Portable policy and cryptographic lineage persist across environments and partners.
Secure Financial Data Beyond the Perimeter
Lattix binds policy and encryption to each record, so partner access, AI workflows, and PCI DSS 4.0.1 cryptographic agility are enforced at the data itself, not at the systems around it.
Request Financial Services Technical Brief
Review the architecture for financial data governance and secure collaboration.
Request BriefTalk to Engineering
Discuss trading systems, AI governance, partner access, or compliance workflows.
Book a Call