The AI Accountability Layer sits inside your cloud, intercepts every interaction, enforces policy at runtime, and signs the evidence cryptographically.
Security teams cannot approve AI tools that touch email, tickets, records or payments, because there is no way to prove what those tools did. Samsung banned ChatGPT in 2023. Three of the four largest US banks followed. Dozens of Fortune 500s have similar bans in effect.
Policy documents do not have a runtime. Employees use AI tools on personal accounts with company data. Shadow AI produces zero audit trail and leaves no record of the disclosure.
The EU AI Act enforces Aug 2, 2026, with fines up to €35M or 7% of global revenue. The US HIPAA AI rule lands May 2026. Colorado SB 24-205 enforces June 2026. Each requires automatic recording of events for high-risk AI systems.
Current governance tools write policy, monitor behavior, or scan prompts. None of them enforce governance at the moment an AI action happens. None produce cryptographic evidence.
Raidu sits on the path between people and every AI system. Every prompt, every tool call, every API response passes through five governance checkpoints. Nothing bypasses the runtime. Nothing runs outside the record.
Every checkpoint produces a plain-English record of what fired, what matched, what was masked, and which policy triggered. A compliance officer can read it. A regulator can follow it. Engineering does not need to translate.
Every record is signed with a 4096-bit RSA key, hash-chained with SHA-256, timestamped against RFC 3161, and written to WORM storage with 10-year retention. The evidence is mathematically verifiable and tamper-evident.
Every AI execution passes through five governance checkpoints. Each is visible in the timeline. Each generates a signed record.
Input guardrails fire first. Prompt injection detection, jailbreak pattern matching, tool-abuse checks, and PII detection. Raw input is logged so the AI understands the request. Full audit entry opened.
Pre-inference guardrails. PII masked before the language model sees the prompt. Jailbreak payloads neutralized. Policy injected into context. Credential scope bounded. SSNs, cards, MRNs are replaced with deterministic tokens the AI can still reason about.
Tool-call guardrails. PII masked before Raidu forwards the call to an external tool (Gmail, Jira, Stripe, and so on). Tool here means an external service the AI touches, not Raidu itself. Scope check, budget check, and outbound redaction enforced per connector.
API responses from the external tool are scanned with connector-aware rules. PII returned by external systems is caught and quarantined before entering the AI context.
Response guardrails. Post-inference scan for hallucination, bias, toxicity, groundedness, and any PII leakage. Merged rules from every connector the execution touched. The response the user sees is clean.
Direct conversations with language models. Every prompt, every response, every attached file.
AI workers that call APIs, create tickets, read email, move money. Every tool call is in the record.
Chained models, tools and approvals. The chain is governed end-to-end, not just at the edges.
◆ Runtime-native. Governance happens while the AI runs. Not after.
One-time credential validation per connector. Shared OAuth for Google Workspace. Shared Azure AD for Microsoft. Every connector declares the PII entity types it needs to function. The firewall adapts per connector. Gmail can see email addresses because it needs them. Stripe cannot see names because it does not.
Enterprises approve a subset. Raidu enforces it. Per-user and per-agent budgets prevent runaway spend. Switch a model off at 9:02 and every execution after 9:02 can prove it used something else.
Raidu's proof stack is designed for regulator acceptance. "Your AI did X at time T, signed K, untampered" becomes a statement you can verify independently, in court.
Data residency supported for GDPR, HIPAA, DPDPA, PIPL, LGPD and POPIA regions.
Multi-tenant SaaS with strict tenant isolation. Available on GCP Marketplace today. Azure and AWS in Q3 2026.
Single-tenant inside the customer's own cloud account. Customer controls keys, region, encryption and data residency.
Full platform on customer premises with zero telemetry and no outbound traffic. Built for defense, intelligence, healthcare and state government.
"Can I approve AI that touches customer data without creating the next breach?"
"Can I ship AI in weeks instead of months, with governance built in?"
"Can I prove compliance to a regulator with evidence, not a policy document?"
"Can I standardize how every team uses AI without killing innovation?"
Raidu intercepts AI coding assistants the same way it intercepts agents. Every prompt, every tool call, every generated line of code, inside the record.
A 30-minute session. We run your hardest AI execution through Raidu and produce a signed record you can verify independently.
