Swiss financial institutions operate under some of the world’s most demanding cybersecurity and operational resilience requirements. The Swiss Financial Market Supervisory Authority (FINMA) continues to emphasize governance over sensitive data access, privileged activity monitoring, cloud risk, and auditability.
As banks expand cloud analytics, AI initiatives, and distributed data platforms, traditional database logging and legacy Database Activity Monitoring (DAM) approaches are no longer sufficient.
What is FINMA?
FINMA (Swiss Financial Market Supervisory Authority) regulates banks, insurers, securities firms, and financial institutions across Switzerland. FINMA guidance increasingly focuses on:
- Protecting sensitive financial and customer data
- Full auditability of privileged and non-human access
- Operational resilience and cyber risk reduction
- Visibility across outsourced and cloud-hosted environments
- Strong identity governance and least-privilege enforcement
- Detection and prevention of unauthorized access
Frameworks such as FINMA Circular 2023/1 Operational Risks and Resilience emphasize cyber resilience, traceability, and monitoring across hybrid infrastructures.
The Limitations of Traditional Database Logging
Most organizations still rely on native database logs and legacy DAM technologies across Oracle, DB2, Microsoft SQL Server, Sybase, Azure SQL, AWS RDS, MongoDB, and other cloud or on-prem databases.
While these systems generate activity logs, they introduce major governance gaps:
- Limited understanding of which data is sensitive or regulated
- No business or data classification context
- Inability to reliably identify the real user behind service accounts or non-human identities (NHI)
- Primarily forensic visibility after activity already occurred
- Heavy dependence on native logging infrastructure and operational overhead
As a result, organizations may see database activity without understanding the associated business risk, data sensitivity, or accountable identity behind the access.
SecuPi: Data-Centric Fine-Grained Access Control and Modern DAM
SecuPi combines:
- Policy-Based and Attribute-Based Access Control (PBAC and ABAC)
- Modern Database Activity Monitoring (DAM)
- Real-time fine-grained enforcement
- Identity-aware governance
- Advanced data protection
Unlike traditional DAM solutions that mainly collect logs, SecuPi continuously governs and controls sensitive data access in real time.
Context-Aware Monitoring
SecuPi integrates with enterprise data catalogs and classification platforms to understand:
- Sensitive financial and personal data fields
- Regulatory classifications
- Data residency requirements
- Business sensitivity levels
- AI and analytics usage context
This transforms monitoring from raw event collection into contextual security intelligence.
Identifying the Real User Behind NHI and Shared Accounts
One of the largest governance gaps in financial institutions involves shared service accounts, general application service accounts, AI agents NHI, and other non-human identities.
Traditional database logs often expose only generic account activity without identifying the actual human initiating the request. SecuPi correlates identity context across applications, PAM, tools, AI agents, and database activity to identify the real user behind the session.
This enables:
- End-to-end accountability
- Identity-to-data chain of custody
- Full audit traceability
- Stronger governance for AI and automated access
From Detection to Prevention
Traditional logging platforms mainly provide after-the-fact evidence. SecuPi adds preventive runtime controls, including:
- Terminating unauthorized sessions
- Dynamically masking or obfuscating sensitive data
- Coarse and fine-grained access control, including Object, Column, Row, and Cell level access control
- Denying access based on policy violations
- Enforcing least-privilege access policies
- Restricting offshore or unauthorized access dynamically
This shifts organizations from passive monitoring to active risk reduction.
User and Entity Behavior Analytics
SecuPi extends observability with User and Entity Behavior Analytics (UEBA) focused on sensitive data access patterns. Organizations can detect:
- Abnormal privileged activity
- Excessive data access
- Suspicious AI or analytics behavior
- Data exfiltration indicators
- Cross-border access anomalies
- Policy violations involving critical datasets
Supporting FINMA Cloud and Restricted Zone Strategies
As Swiss banks modernize cloud and AI environments, they require:
- Segregation of duties
- Fine-grained data controls
- Strong auditability
- Protection of highly sensitive data across hybrid environments
SecuPi supports these initiatives through:
- Runtime policy enforcement
- Dynamic masking
- Client-side Tokenization
- Client-side Format-preserving encryption
- Hybrid cloud governance
- Unified monitoring across cloud and on-prem platforms
Modernizing DAM for the FINMA Era
FINMA-regulated organizations can no longer rely solely on legacy logging architectures and reactive monitoring. Modern financial institutions require:
- Identity-aware monitoring
- Data-centric governance
- Real-time enforcement
- AI-ready security controls
- Continuous compliance visibility
- Preventive security capabilities
SecuPi enables Swiss financial institutions to modernize database security and activity monitoring while supporting cloud transformation, AI adoption, and operational resilience initiatives.
The future of FINMA compliance is no longer just about logging activity; it is about understanding, governing, and controlling sensitive data access in real time.