🔒 SOC 2 Compliant · Enterprise Grade

Security & Compliance

Enterprise-grade protection for your AI workloads

Layered Security Architecture

Multiple layers of protection safeguarding your data at every level

Data Protection

All data is encrypted at rest using AES-256 and in transit using TLS 1.3. We implement strict access controls with role-based permissions, maintain comprehensive audit logs, and conduct regular security assessments. Customer data is isolated at the application and database level.

India DPDP Act Compliance

Inferova is committed to compliance with India's Digital Personal Data Protection Act. We maintain data residency within India for Indian customers, implement consent management frameworks, provide data access and deletion mechanisms, and maintain transparent data processing policies.

Infrastructure Security

Our infrastructure runs on enterprise-grade cloud platforms with network isolation, automated security patching, and continuous monitoring. We conduct regular penetration testing through third-party security firms and maintain an incident response plan with defined escalation procedures.

Enterprise Security Features

Built-in protections for the most demanding security requirements

SOC 2 Readiness

Working towards SOC 2 Type II certification with controls already in place for security, availability, and confidentiality.

On-Premise Deployment

Deploy Inferova products within your own infrastructure for complete data control and compliance with internal policies.

SSO & SAML

Enterprise single sign-on integration with support for SAML 2.0, OAuth 2.0, and OpenID Connect protocols.

Audit Logging

Comprehensive audit trails for all system activities, API calls, and data access events with configurable retention.

Trust Architecture

Five concentric layers of protection between your data and the outside world

Application Layer
Encryption Layer — AES-256 at rest, TLS 1.3 in transit
Access Control — RBAC, SSO, SAML 2.0
Infrastructure Layer — Network isolation, continuous monitoring
Compliance Layer — SOC 2, DPDP Act, Data Residency

Responsible AI

We build AI systems guided by four core principles

Transparency

Model explainability features that make AI decision-making clear and understandable for every stakeholder.

Fairness

Continuous bias monitoring and mitigation capabilities ensure equitable outcomes across all user populations.

Accountability

Regular model performance audits with documented review processes and clear ownership of AI system outcomes.

Human-in-the-Loop

Built-in safeguards for critical decisions, ensuring humans remain in control of high-stakes AI-driven processes.

Security Contact

Report a vulnerability or security concern. Our security team reviews every report and responds within 24 hours.

security@inferova.com
Contact Security Team