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Case studies

Gegentica, deployed
across four regulated industries.

Healthcare, financial services, government, and enterprise organizations use Gegentica to enforce compliance, governance, and data sovereignty over every AI interaction. Here's how.

HealthcareFinancial servicesGovernmentEnterprise
01 / Healthcare

Healthcare provider ensures PDPA compliance and patient data privacy.

A large regional healthcare network sought to leverage AI-driven diagnostic and patient management agents to improve care quality and operational efficiency. The sensitive nature of patient data and stringent PDPA regulations posed significant challenges.
Internal Edge ServerPDPA
CHALLENGE

Autonomous AI agents communicating directly with AI models risked exposing protected health information (PHI) without proper oversight. Ensuring PDPA compliance was critical to avoid legal penalties and maintain patient trust.

SOLUTION

Gegentica was deployed on the network’s internal edge servers, acting as a secure intermediary between AI agents and models. It was configured to enforce PDPA-specific policies — data access controls, encryption requirements, and audit logging — intercepting every AI request and blocking any that failed to meet compliance criteria.

OUTCOME
  • Achieved full PDPA compliance for AI interactions
  • Prevented unauthorized access to PHI
  • Enabled comprehensive audit trails for regulatory reporting
  • Increased patient trust through enhanced data privacy safeguards
  • Facilitated safe and scalable AI adoption across clinical operations
02 / Financial services

Financial institution mitigates risk and ensures PCI-DSS compliance.

A multinational bank was integrating AI agents for fraud detection, customer service automation, and risk assessment. The bank needed every AI interaction to comply with PCI-DSS, GDPR, and other financial regulations.
Cloud SaaSPCI-DSS · GDPR
CHALLENGE

Direct autonomous communication between AI agents and models risked unauthorized data exposure and regulatory breaches. The bank required a way to enforce compliance policies dynamically and provide governance oversight.

SOLUTION

Gegentica was implemented as a cloud SaaS middleware, integrating with the bank’s AI infrastructure. It enforced real-time compliance checks against PCI-DSS and GDPR rules, blocking any non-compliant AI request, and generated detailed logs and reports for audit and compliance teams.

OUTCOME
  • Reduced risk of data breaches and compliance violations
  • Maintained continuous adherence to PCI-DSS and GDPR
  • Improved governance and transparency of AI-driven processes
  • Enhanced customer confidence and regulatory reporting capabilities
  • Streamlined AI deployment with built-in compliance safeguards
03 / Government

Government agency protects classified data with sovereign deployment.

A national government agency required AI-powered data analysis tools to support decision-making but faced strict data sovereignty and security mandates preventing data from leaving national borders.
Internal Edge ServerData sovereignty
CHALLENGE

The agency needed AI interactions to comply with government security policies and keep all data within sovereign jurisdiction. Cloud-based AI solutions posed risks of data leakage and non-compliance with national security laws.

SOLUTION

Gegentica was deployed on-premises within the agency’s secure data centers, enforcing governance and compliance policies tailored to government security standards. Every AI agent-model interaction was monitored and controlled, preventing unauthorized data flows outside the jurisdiction.

OUTCOME
  • Maintained full control over classified and sensitive data
  • Complied with national security and data sovereignty regulations
  • Enabled secure AI adoption without risking data leakage
  • Provided auditability and governance aligned with government mandates
  • Supported mission-critical AI applications with confidence
04 / Enterprise

Enterprise enhances AI governance and risk management.

A global manufacturing corporation deployed AI agents across multiple business units for supply chain optimization, predictive maintenance, and customer engagement. Inconsistent governance and a lack of centralized oversight created compliance and operational risk.
Hybrid Cloud PaaSMulti-region governance
CHALLENGE

The enterprise needed a unified solution to enforce AI governance policies, ensure compliance, and provide transparency across diverse AI deployments spanning multiple regions and regulatory environments.

SOLUTION

Gegentica was deployed as a hybrid cloud PaaS solution, providing centralized policy enforcement and governance controls. The platform offered comprehensive monitoring, logging, and reporting, enabling the enterprise to audit AI interactions and enforce compliance consistently.

OUTCOME
  • Unified AI governance across every business unit and region
  • Consistent compliance enforcement regardless of local regulatory environment
  • Centralized visibility into AI-driven risk across the enterprise
  • Increased stakeholder trust in AI-assisted operations
  • A scalable governance framework ready for future AI expansion
05 / Get started

Your industry has
its own compliance bar.

Talk to us about how Gegentica maps to your regulatory environment — HIPAA, PCI-DSS, GDPR, PDPA, or government data protection law.

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