Most Indian organisations adopting AI, copilots, chatbots, and agents, hit the same wall. The policy says what the AI should and should not do, but nobody can answer the questions underneath it. What did the AI actually see. What did it send back. Was personal data exposed. Was a prompt injection attempt blocked. Who approved this use.
Those are governance questions about live AI behaviour, not paperwork questions. Without answers, an AI policy is a statement of intent rather than a record of what happened, and that gap is exactly what a regulator, a customer audit, or an incident exposes.
This is the layer Raidu addresses, and the reason we deliver a platform rather than hand clients a policy and hope.
Raidu sits in front of your AI and makes every interaction governed, controlled, and provable. It runs inside your own cloud, so your data never leaves your boundary. These are the capability areas we deliver against. Final scope is confirmed per engagement, and the full product detail is published at raidu.com.
Guardrails on every prompt and response: enforce policy and block unsafe output before it reaches the model or the user.
Detect and redact personal data in prompts and responses, so sensitive information is not leaked to or from the model.
Detect and block prompt injection and jailbreak attempts, so an attacker cannot turn your own AI against you.
One view across every AI, tool, and agent, so misuse and drift surface in real time instead of at audit.
A full decision chain for every interaction: what was asked, what policy applied, what came back, and why it was allowed or blocked.
Every interaction sealed in tamper evident, write once storage with hash chains and signatures, so evidence holds up when a regulator looks.
A governance platform on its own produces controls and logs. Controls and logs on their own do not make an organisation compliant. Our engagements run in four stages, with the platform and our advisory working the same problem.
We agree which AI systems are in scope, which obligations apply to you, and what the engagement has to prove.
We put Raidu in front of your AI inside your own cloud, and configure guardrails and policy for your environment.
The platform enforces and records every interaction. We interpret its output against the DPDP Act and your contracts, and tune the policy.
Monitoring, evidence, and periodic review, so every interaction stays provable after the project closes.
You contract with Siddhiksha AI. We are accountable for the engagement and the outcome. Raidu is the technology behind it.
A scoped walkthrough on your environment is more useful than any feature list. Tell us what AI you run and we will show you what governing and proving it looks like.