Zania AI In the News
As seen in Axios, Business Insider, and more. See why Zania is the GRC standard.
Key Highlights
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Stop tracking compliance. Start executing it.
See how Zania's autonomous AI agents handle your entire GRC workflow — from third-party risk to audit readiness.
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.
Tenant Isolation & Data Security
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
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.
Data Retention & Lifecycle Management
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 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.
Encryption & Infrastructure Security
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.
LLM Security & Safety Guardrails
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.
Compliance & Auditing
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
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
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.
