Built for the compliance and confidentiality demands of healthcare, pharma, and education — with isolation, encryption, and audit trails at every layer.
Customer environments run in dedicated network segments with no cross-customer routing.
AI inference and data processing run in isolated compute contexts per organisation.
All data is stored in organisation-specific encrypted storage — no shared databases.
Domain models (AURA, SAGE, NOVA) never train on customer data or share parameters across organisations.
Every API call is authenticated and scoped to a single organisation. Cross-organisation calls are architecturally impossible.
Every action generates an immutable, organisation-specific audit log that cannot be modified by other parties.
All data encrypted using AES-256, with keys managed per organisation and rotated regularly.
All communications use TLS 1.3. No unencrypted transmission is permitted anywhere on the platform.
Granular RBAC with multi-factor authentication on all administrative access, enforced on least privilege.
Every AI output — generated, modified, accepted, or rejected — is logged with timestamp and source citation.
Regular security assessments and penetration testing, with findings tracked to a defined severity framework.
Customer data remains within India, governed by your organisation's Data Processing Agreement.
If you discover a security vulnerability in VelorQ.ai, please report it responsibly to security@velorq.ai. We acknowledge reports within 48 hours and ask that you do not publicly disclose an issue until we've had the opportunity to address it.
Our team can walk your security or compliance stakeholders through the full architecture.
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