Enterprise AI has to satisfy your security, legal and compliance teams — and, for investors and acquirers, a diligence process — before it earns anyone's trust. We design for that review from day one. Here is how we approach it, and what we can put in a data room.
Encryption in transit and at rest, data minimisation, and PII redaction built into AI pipelines by default.
Least-privilege access, multi-factor authentication for production, and access reviews on a regular cadence.
Code review, dependency scanning and secrets management as part of how we ship, not an afterthought.
Guardrails, automated evaluation and grounding checks on every response, with a full audit trail.
Cloud, private cloud, on-premise or air-gapped — the boundary changes, the security posture doesn't.
Observability across cost, latency, quality and drift, with a defined incident-response process.
Our engines are independently built on public techniques — no third-party proprietary code, prompts or client data embedded. IP assignments on file.
A data room under NDA: security & architecture docs, sub-processor list, license inventory (SBOM) and clean-room attestation.
We treat your data as the most sensitive part of any engagement. Data is encrypted in transit (TLS) and at rest, and we collect and retain only what a system genuinely needs. Where a jurisdiction requires it — for example EU personal data or regulated Indian financial data — we design for data residency so information stays within the required region, and we can disable cross-border replication at the infrastructure layer.
For generative and retrieval systems, we add AI-specific protections: PII detection and redaction before data reaches a model, controls over what is sent to third-party model providers, and the option to keep everything inside your own environment using private or self-hosted models.
Access to any client system or data follows the principle of least privilege: people and services get only the access a task requires, and nothing more. Production access requires multi-factor authentication, is logged, and is reviewed on a regular cadence. When we build for you, AI agents and applications inherit the authorisation of the user they act for — an agent can never see or do more than the person using it.
Security is part of how we engineer, not a gate at the end. That means peer code review, dependency and vulnerability scanning, managed secrets (never hard-coded credentials), and separated environments for development, staging and production. Changes reach production through a controlled release process with the ability to roll back.
The controls that make AI trustworthy are the same ones that get it through a security review. On every engagement we can apply:
We meet your risk profile rather than forcing ours. The same architecture can run in:
Production systems are backed up, monitored, and covered by a defined incident-response process: detect, contain, communicate, remediate and review. If an incident affects your data or systems, we notify you promptly and work to the notification timelines your regulators require.
Where we rely on third parties — cloud infrastructure, model providers, tooling — we choose established vendors and limit what data reaches them. For any engagement we can provide the specific list of sub-processors involved and their role, so your team can assess them as part of due diligence.
We own the intellectual property in the platforms and engines behind our own products — including our code-intelligence and AI-governance graph engines. They are designed and implemented independently, on public, well-documented techniques (AST parsing, graph databases, GraphRAG, ABAC, attack-path analysis) — and do not incorporate any third party's proprietary code, prompts, models or confidential data.
For client work, ownership of deliverables is defined in the engagement contract. We never reuse one client's data or bespoke code for another, and our demonstrations and case studies are anonymized and stripped of client data. Everyone who contributes to our codebase does so under an IP-assignment agreement, so ownership is unambiguous.
For investors, acquirers and enterprise procurement teams, we maintain a diligence pack available under NDA. It includes:
Request access via info@vithupro.in with the subject line "Diligence".
If you believe you have found a security vulnerability in our website or systems, please email info@vithupro.in with the subject line "Security". We take reports seriously, will acknowledge them, and ask that you give us a reasonable opportunity to remediate before any public disclosure.
We're glad to walk your security, compliance or investment teams through our controls, IP and architecture — and provide the data room your diligence process needs, under NDA.
