Secure.
Trusted.
Always On.
Our AI platform is built on the principle that real innovation requires strong security. With security fully handled, you can innovate with confidence.
SOC 2 Type 2 compliance
We’re independently audited to maintain top-tier security protocols and protect your information at every stage.
SSO/SAML integration
Integrated SSO via SAML (Okta, Azure AD, Google) for a streamlined and secure sign-on process.
Independent evaluations
Third-party security experts perform ongoing penetration testing on our platform to keep defenses robust and up-to-date.
HTTPS/SSL by default
End-to-end security with HTTPS/SSL encryption on by default for every user session.
Data residency controls
Choose where your data lives to meet local regulations and maintain sovereignty over your information.
Dedicated security experts
Our security team drives secure development, rigorous testing, and continuous improvements.
AI Security Whitepaper
Built on Uncompromising Security.
Our enterprise-grade architecture — from private model hosting to strict tenant isolation — protects your proprietary data while empowering your workflows with next-generation AI capabilities.
AI Model Architecture & Privacy
Private Model Hosting
We utilize a private, isolated infrastructure within Microsoft Azure to host our AI models. This ensures that no model interaction occurs on public or shared infrastructure — your queries never touch a multi-tenant compute environment.
No Training on Customer Data
We adhere strictly to a stateless data policy. Customer data is used solely for inference to complete specific tasks and is never used to train, fine-tune, or improve our foundation models.
Ephemeral Processing
Data sent to the model exists in memory only for the duration of the request. Once the agent completes its task, context is immediately discarded — no residual data remains on inference servers.
Private Model Hosting
We utilize a private, isolated infrastructure within Microsoft Azure to host our AI models. This ensures that no model interaction occurs on public or shared infrastructure — your queries never touch a multi-tenant compute environment.
No Training on Customer Data
We adhere strictly to a stateless data policy. Customer data is used solely for inference to complete specific tasks and is never used to train, fine-tune, or improve our foundation models.
Ephemeral Processing
Data sent to the model exists in memory only for the duration of the request. Once the agent completes its task, context is immediately discarded — no residual data remains on inference servers.
AI Model Architecture & Privacy
AI Security Whitepaper
Built on Uncompromising Security.
Our enterprise-grade architecture — from private model hosting to strict tenant isolation — protects your proprietary data while empowering your workflows with next-generation AI capabilities.
AI Model Architecture & Privacy
Infrastructure designed to keep your data private, always.
Private Model Hosting
We utilize a private, isolated infrastructure within Microsoft Azure to host our AI models. This ensures that no model interaction occurs on public or shared infrastructure — your queries never touch a multi-tenant compute environment.
No Training on Customer Data
We adhere strictly to a stateless data policy. Customer data is used solely for inference to complete specific tasks and is never used to train, fine-tune, or improve our foundation models.
Ephemeral Processing
Data sent to the model exists in memory only for the duration of the request. Once the agent completes its task, context is immediately discarded — no residual data remains on inference servers.
Tenant Isolation & Data Security
Complete separation between every customer environment.
Strict Logical Isolation
We employ a multi-tenant architecture with strict logical isolation. Each customer is provisioned a dedicated workspace, ensuring that data is cryptographically and logically segregated. There is absolutely no cross-pollination or sharing of data between customer environments.
Principle of Least Privilege
Our architecture is built on PoLP. Internal system agents and services are granted only the minimum permissions necessary to perform their specific functions, reducing the attack surface and preventing lateral movement across the platform.
Data Retention & Lifecycle Management
You control your data's lifecycle, end to end.
Configurable Data Deletion
We provide automated lifecycle management for all assessment data. Data uploaded for an assessment, as well as session logs generated during the assessment, are eligible for immediate deletion upon completion — giving you full control over your data footprint.
Data in transit retention
Duration of request only
Post-assessment deletion
Available immediately
Session logs
Configurable retention period
Model training use
Never
Access Control & Authentication
Granular permissions mapped to every role.
Granular RBAC
We implement a robust Role-Based Access Control framework that maps granular permissions to specific job responsibilities across every layer of the platform.
Session-Level Restrictions
Assessment privileges can be scoped dynamically, ensuring users can only access the specific datasets, tools, and sessions required for their current role or task.
LLM Security & Safety Guardrails
Defense-in-depth for every AI interaction.
Prompt Injection Protection
We implement input sanitization and adversarial filtering layers to detect and block jailbreak attempts or prompt injection attacks — attempts to trick the AI into ignoring its operating instructions.
Output Validation
AI-generated responses pass through a post-processing verification layer to filter out harmful content, hallucinations, or formatting errors before being presented to users.
Deterministic Guardrails
For critical workflows, we use deterministic code — non-AI logic — to validate AI decisions, ensuring the agent operates within safe, pre-defined boundaries at all times.
Encryption & Infrastructure Security
Industry-standard encryption, everywhere.
Encryption at Rest & in Transit
All customer data is encrypted using AES-256 standards while at rest in our databases, and TLS 1.2+ while in transit between the client, our servers, and the Azure backend.
Encryption at rest
AES-256
Encryption in transit
TLS 1.2+
Cloud infrastructure
Microsoft Azure (isolated VNETs)
Public internet exposure
None — private endpoints only
Network Security
Our Azure infrastructure uses Virtual Networks (VNETs) and private endpoints to ensure that all backend services are completely isolated from the public internet, eliminating an entire class of external threats.
Compliance & Auditing
Complete transparency and verifiable compliance.
Immutable Audit Logs
Every system interaction — user logins, data uploads, and AI agent actions — is logged with a timestamp and user ID. These immutable audit logs are available to customers for security reviews at any time.
SOC 2 Type II Compliant
Zania AI has achieved SOC 2 Type II certification, providing independent third-party validation that our security controls meet the rigorous standards required for enterprise-grade data handling.
Report a Security Vulnerability
We thoroughly investigate all credible reports and take timely action to uphold the highest protection standards.
