Advantive ONE Security & Trust FAQ
An overview of how Advantive ONE approaches security, privacy, and compliance.
This FAQ provides helpful, high-level information for your security assessments and due diligence conversations.
Last updated: February 2, 2026
General
Advantive ONE is a secure, scalable platform designed to help customers connect product data, access insights, and adopt AI capabilities with clear guardrails around security, privacy, and compliance.
Security is treated as a foundational design requirement. We use a security-by-design approach that establishes clear security principles and acceptance criteria before features are deployed, so security expectations stay consistent across products and integrations.
Ongoing. Security, compliance, architecture, and product teams maintain governance cadence to keep controls effective as platform capabilities and external expectations evolve.
Tenant isolation and data protection
Each customer’s data is kept logically separate from others at every stage—when it’s received, stored, processed, and accessed. One customer can never see another’s data, and we can always trace where data came from and who it belongs to.
Yes. The same isolation and authorization controls apply to analytics, search, AI capabilities, and operational workflows.
Yes. Data origin and tenant association remain traceable to support auditability and governance.
Identity, access, and authorization
Advantive ONE uses verified identity and role-based access control (RBAC) so users only access data and capabilities they are authorized to use.
The platform supports single sign-on (SSO) and multi-factor authentication (MFA) to strengthen access security.
Permission models are designed to expand with platform capabilities while always respecting tenant boundaries and data sensitivity.
AI governance and responsible use
AI capabilities are governed transparently and responsibly. AI learning and data usage behavior is explicitly defined and controlled, and tenant isolation always applies to AI processing.
Yes. Customers have meaningful opt-in and opt-out controls for AI participation, aligned to the relevant capability.
Yes. We keep records of access, configuration changes, and AI usage so activity can be reviewed and explained. AI interactions can be traced back to the user, customer, and data involved.
Data sensitivity and prohibited data
Certain sensitive data types must not be ingested, processed, or transmitted unless explicitly approved. Examples include payment card data, bank account details, government identifiers, credentials or secrets (including encryption material), and employee personnel records.
Yes. Only data required to deliver platform capabilities is ingested, and handling rules are enforced consistently across ingestion and processing.
Auditability, logging, and transparency
The platform is designed to log access, configuration changes, and AI participation, supporting customer trust and internal governance.
Yes. Operational logs are retained to support troubleshooting, structured reviews, and compliance obligations. Exact retention periods may vary by capability and customer requirements.
Compliance alignment
Advantive ONE is being aligned with enterprise security and compliance frameworks including ISO 27001 and SOC 2. PCI-DSS alignment is addressed where applicable to the use case.
Testing and continuous validation
Yes. The platform undergoes regular security testing with defined scope and cadence, tracked remediation, and verification of fixes with supporting evidence.
Yes. Security testing is integrated into platform lifecycle planning rather than deferred until late stages.
Operational enablement and customer trust
Controls are designed to support predictable onboarding and transparent operational visibility, alongside clear documentation to help customers and internal teams adopt the platform confidently.
Contact your Customer Success Manager or Support Representative. You can see who your representative is by logging into our support portal.