Data Security and Governance

Amiseq builds data security and governance programs engineered for where sensitive information actually lives now, across SaaS applications, cloud storage, managed databases, and the on-premise systems that still anchor the enterprise. The Data-Devices-Destinations framework starts with knowing what the business has to protect, wherever it sits.

Data Security and Governance Capabilities

Data Discovery and Classification

Automated discovery and classification of sensitive data across on-premise repositories, SaaS applications, and cloud environments using platforms including Titus and Microsoft Purview. Continuous, scalable, and audit-ready.

Data Security Posture Management (DSPM)

Continuous visibility into where sensitive data lives, who has access, and how it moves across cloud environments. Risk prioritization based on real exposure, not theoretical compliance.

Data Loss Prevention (DLP)

Enforce policies that prevent unauthorized data movement across email, endpoints, SaaS applications, and external sharing. Block exposure before it happens, not after it surfaces in a breach report.

Data Governance and Compliance

Policy frameworks, role-based access controls, and audit-ready governance aligned to GDPR, HIPAA, PCI-DSS, SOC 2, ISO 27001, and regional regulations.

Data Security Use Cases Across the Enterprise

Representative data security and governance applications Amiseq builds, deploys, and operates.

Finance, Legal, and Compliance

Classification of PII, payment data, and contracts across cloud and on-premise
DLP controls for financial reports, IP, and confidential documents
Compliance reporting for PCI-DSS, SOX, and regional regulations

HR, Sales, and Customer Data

Discovery and classification of employee and customer PII
DLP controls on HR records, CRM exports, and customer data
Data residency and privacy compliance across regions

Healthcare and Life Sciences

Discovery and classification of PHI across clinical, cloud, and research systems
DLP controls for patient records and clinical trial data
HIPAA, HITRUST, and clinical research compliance reporting

Executive, Risk, and Audit

Enterprise-wide data sensitivity dashboards across cloud and on-premise
Cross-regulatory compliance reporting consolidated for the board
Risk posture aligned to business exposure, not control counts

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Why Enterprise Data Security Programs Fail in the Cloud Era

Most data security programs were designed for a world where sensitive data lived inside the firewall. Cloud, SaaS, and remote work moved the data without moving the controls. Amiseq's discipline addresses the specific patterns that cause data programs to stall.

On-Premise Controls Bolted Onto Cloud Environments

Legacy DLP and classification tools fail when data lives in SaaS apps, cloud storage, and managed databases. Cloud-native visibility requires cloud-native controls, not retrofitted agents.

Classification That Never Catches Up

Data sensitivity changes constantly in cloud environments. Programs that classify once and never re-evaluate produce stale labels and false confidence in systems that have moved on.

DLP Built on Untrusted Classification

Loss prevention only works when classification is accurate. DLP on top of mislabeled data either blocks legitimate work or misses real exposure, and both outcomes erode user trust.

Compliance Theater Without Visibility

Passing the audit and seeing the data are different problems. Programs designed around audit checklists rarely surface where breaches actually start in cloud and hybrid environments.

Programs Owned by Tools, Not Outcomes

When the program is run as a tool implementation instead of a risk reduction program, the dashboard fills up but the breach surface does not shrink.

Data Security Built for Cloud, SaaS, and Hybrid Reality

Sensitive information now lives across SaaS applications, cloud storage, managed databases, employee endpoints, external collaborators, and the on-premise systems still anchoring the enterprise. Amiseq builds programs engineered for all of it.

Cloud-Native and On-Premise in One Program

Unified data discovery and classification across legacy repositories and modern cloud environments through platforms including Titus and Microsoft Purview.

Continuous, Not Periodic

Automated re-discovery and re-classification as data flows and sensitivity evolves, not annual scans that produce stale reports the moment they finish.

Embedded in How Data Moves

Validation built into the sharing moment, so unauthorized transfers across cloud, SaaS, and external destinations are blocked before they happen, not after they appear in an audit log.

Tied to Business Risk, Not Just Compliance

Programs designed to reduce real breach exposure, with compliance reporting as an output, not the primary objective.

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A Closer Look: $400B Global Investment Firm

The Challenge

A global sovereign investment company managing assets valued at over $400 billion operated across multiple geographies with diverse investment portfolios. Sensitive financial data, proprietary investment strategies, and confidential stakeholder information were scattered across on-premise and cloud environments without categorization, inventory, or validation mechanisms. The result was high risk of data leakage, no enforceable governance, and growing exposure to regulatory compliance gaps.

The Approach

Amiseq deployed a Data Classification and Protection program built on enhanced data handling policies, Titus for enterprise-wide data discovery and classification, and integration with in-house applications for monitoring and reporting. The program combined technical implementation with end-user training and enterprise-wide rollout, delivered through the Data-Devices-Destinations framework, starting with data discovery and classification, extending into verified access controls across users and devices, and closing with validated information flow at every destination.

The Outcomes

Complete data visibility

across confidential and sensitive financial data, on-premise and cloud

Automated classification system

with integrated monitoring and reporting through Titus

Validated information sharing

with real-time checks ensuring only authorized data movement

Enterprise-wide adoption

with embedded data handling standards across the organization

Audit-ready posture

strengthened for regulatory and stakeholder compliance

Why Amiseq for Data Security and Governance

Cloud, On-Premise, and Hybrid Delivery Expertise

Programs designed for where data actually lives, including SaaS applications, cloud storage, managed databases, and legacy on-premise systems.

Multi-Platform Delivery Expertise

Deep experience across Titus, Microsoft Purview, and other leading data classification and DLP platforms.

Data-Devices-Destinations Discipline

Programs delivered as one coordinated architecture across data, devices, and destinations, not as isolated security tools.

Proven Across the 3 Cs

200+ customers. 30+ countries. 80+ cybersecurity certifications.

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Data Security and Governance

Cloud Moved Your Data. Most Data
Security Programs Stayed On-Premise.