User & Access Control
ZINFI’s User & Access Control framework delivers enterprise-grade identity and access management designed for complex, multi-tier partner ecosystems. It provides centralized control over users, groups, profiles, roles, and authentication policies, ensuring that every internal user and partner has the right level of access—no more, no less.
Built directly into the platform, ZINFI combines role-based access control (RBAC) with SSO and identity integration, session management, conditional access, and step-up authentication to protect sensitive data and critical actions. All controls are configurable through intuitive admin screens, require no custom code, and are fully auditable to support security, compliance, and operational governance at scale.
Single Sign-On (SSO) & Identity Integration
Enable secure, seamless access to the ZINFI platform by allowing users to authenticate using their existing enterprise identity providers.
- Authenticate users via SAML or OAuth identity providers.
- Mandate internal SSO with flexible partner authentication options.
- Centrally manage connected identity providers and SSO policies from a single admin interface.
- Centrally manage SSO and identity providers via one interface.
Boost security and adoption using trusted enterprise identity systems with centralized governance and auditability.
Session Control
Control how long users remain signed in to the platform by defining role-based session policies that reduce risk from idle or unattended access.
- Set role-based session timeouts via a central interface.
- Terminate inactive sessions automatically via enforced session policies.
- Require users to re-authenticate once a session expires to regain access.
- Apply stricter session controls to high-privilege or high-risk roles.
Mitigate risks from inactive sessions through continuous, policy-driven enforcement to protect all sensitive data.
Data Security
ZINFI’s Data Security framework provides comprehensive protection for partner, customer, and operational data across the entire Partner Relationship Management platform. Designed for multi-tenant, multi-partner environments, it ensures that data is isolated, protected, visible only to authorized users, and governed throughout its lifecycle.
Built directly into the platform, ZINFI combines data isolation, field-level security, encryption, data minimization, and data lineage to safeguard sensitive information and support global regulatory requirements. All controls are configurable through intuitive admin interfaces, require no custom code, and are continuously enforced to reduce risk and maintain compliance at scale.
Data Isolation
Ensure strict separation of data across partners and tenants by enforcing system-level isolation policies that prevent unauthorized data access in multi-tenant environments.
- Enforce data isolation to prevent unauthorized partner access.
- Maintain logical data separation across multi-tenant platform instances.
- Mandatory system-enforced isolation policies ensure consistent, permanent protection.
- Automatically isolate modules and workflows without manual configuration.
Prevent data leakage and ensure global compliance to strengthen trust across your partner ecosystem.
Field-level Encryption
Protect sensitive data using strong, field-level encryption that secures information both at rest and in transit across the ZINFI platform.
- Encrypt sensitive fields like identifiers and financial data.
- Encrypt data at rest and transit using industry-standard algorithms.
- Regularly refresh encryption keys with configurable rotation policies.
- Track encrypted fields and rotation history for control.
- Optionally support BYOK to meet enterprise key requirements.
Protects sensitive data via cryptographic standards, ensuring security and compliance even if access is compromised.
Privacy & Consent Management
ZINFI’s Privacy & Consent Management framework enables organizations to operationalize privacy by design across their partner ecosystems. Built directly into the Partner Relationship Management platform, it provides end-to-end controls for consent tracking, data subject rights, retention enforcement, and regulatory compliance—without relying on external tools or manual processes.
Designed for global, multi-tenant environments, ZINFI ensures that personal data is collected, processed, retained, and deleted in a transparent and lawful manner. Consent, privacy preferences, and regulatory obligations are enforced consistently across all communication channels, workflows, and partner interactions, supporting compliance with GDPR, CCPA, and similar privacy regulations worldwide.
Data Subject Access Requests (DSAR)
Manage and fulfill data subject rights requests through structured, auditable workflows that ensure timely, compliant responses to privacy regulations such as GDPR and CCPA.
- Standardize DSAR workflows for access, deletion, and portability.
- Enforce SLA timelines to consistently meet regulatory deadlines.
- Track active DSARs with real-time status and visibility.
- Manage multi-step approval workflows for authorized request fulfillment.
- Audit DSAR activities with full tracking and timestamps.
Scalable DSAR workflows reduce compliance risk and efficiently ensure data subject rights are honored consistently.
Data Retention Rules
Define how long different types of data are retained and what happens when retention periods expire, ensuring compliance with privacy regulations and reducing unnecessary data exposure.
- Set data retention periods by specific record types.
- Automate end-of-life actions after data retention periods expire.
- Apply varied retention policies without custom development.
- Track retention configurations and reviews for audit visibility.
- Continuously enforce system-wide data retention and lifecycle policies.
Minimize risk and ensure GDPR compliance by preventing data over-retention through secure, transparent storage limits.
AI Governance & Audit
ZINFI’s AI Governance & Audit framework provides enterprise-grade control, transparency, and accountability for AI usage across the Partner Relationship Management platform. Built directly into the platform, it ensures that AI capabilities are deployed responsibly, securely, and in alignment with organizational policies, regulatory expectations, and partner trust requirements.
Designed for complex, multi-tenant partner ecosystems, ZINFI enables organizations to govern who can use AI, how AI is used, which models are approved, how outputs are reviewed, and how risks are managed—while maintaining full auditability across every AI-driven interaction.
AI Access Control
Control who can access AI capabilities, how AI is used, and where AI-generated outputs can be shared across the ZINFI platform.
- Restrict AI access by role to authorized users.
- Restrict partner AI access to internal users only.
- Require human approval for compliant partner-facing AI outputs.
- Define role-level AI permissions for usage and approvals.
- Apply consistent AI access policies without custom configuration.
Prevent AI misuse and ensure outputs align with security and compliance policies by design.
Model Governance
Control which AI models are allowed in the ZINFI platform and how they are used, ensuring AI capabilities remain secure, approved, and aligned with organizational policies.
- Approve and manage AI models from leading providers.
- Define permitted AI use cases for specific models.
- Centrally toggle models to meet evolving regulatory requirements.
- Track model history and versioning with full accountability.
- Limit user access to only vetted, low-risk models.
Prevent unvetted AI in workflows to reduce risk and ensure alignment with enterprise governance standards.
Partner Privacy & AI Usage
ZINFI’s Partner Privacy & AI Usage framework ensures that partner data is protected, transparently governed, and responsibly handled when AI capabilities are enabled. Built directly into the Partner Relationship Management platform, it gives organizations precise, enforceable control over how partner data is accessed, processed, and excluded from AI-driven features.
Designed for complex, multi-tier partner ecosystems, ZINFI enables organizations to innovate with AI without compromising partner trust. AI usage is governed through clear access controls, approval workflows, usage visibility, and explicit boundaries around partner-facing AI content. Partners benefit from transparency and confidence, while organizations maintain compliance, accountability, and control over how AI interacts with partner data—by design, not by exception.
Data Requests
Enable partners to exercise their data rights by submitting, tracking, and managing personal data requests in a transparent and compliant manner.
- Allow partners to request access to personal data.
- Support secure, portable data exports for GDPR compliance.
- Enable validated “right to be forgotten” deletion requests.
- Provide real-time visibility into all request statuses.
- Audit all request history, timestamps, and outcomes.
Empower partners with data control to ensure compliance, transparency, and trust while reducing regulatory risk.
AI Feature Enablement for Partners
Control which AI-powered capabilities partners can access, ensuring AI features are enabled responsibly, transparently, and in alignment with organizational policies.
- Toggle specific partner AI features for customized access.
- Restrict AI access via approval-based, explicit authorizations.
- Show partners clear visibility into AI feature statuses.
- Automatically label AI content for clear transparency.
- Partners request restricted AI features via governed approvals.
Scale AI usage responsibly while ensuring trust, governance, and compliance across the partner ecosystem.
