AI Governance & Security
Every decision with a rationale you can audit.
AI in a regulated or customer-facing setting has to be explainable and contained.
What we build and hand over
- Guardrail layer with send / delay / skip / pause / escalate verdicts no cap can bypass
- Append-only decision ledger and request-log redaction
- Security pass on every build: CORS, webhook signatures, SSRF, XSS, open redirects, token hashing
- Per-workspace isolation, secret rotation and session revocation
Where this already runs
Quotarider's Sequence Guardrail scores every send on reputation, history, pressure, compliance and timing; the same audit found.
See our products →Pairs well with
View all capabilities →AI Governance and Security: Common Questions
What is AI governance and what does it include in practice?
AI governance is the set of technical controls that make every AI decision explainable, contained and reviewable. In practice, XDQ Labs delivers a guardrail layer that returns send, delay, skip, pause or escalate verdicts no setting can bypass, an append-only decision ledger, request-log redaction, per-workspace isolation, secret rotation and session revocation. Each build also gets a security pass. A governance and security review typically takes one to two weeks and is priced as a custom quotation.
How do you create an audit trail for AI decisions?
An audit trail for AI decisions is created by writing each decision, its inputs, the rule applied and the outcome to an append-only ledger that cannot be edited afterwards. XDQ Labs adds this ledger to agents and automated workflows, along with a short rationale for every verdict. Sensitive data is redacted in logs. Reviewers can then trace why a message was sent, delayed or blocked. The ledger supports internal audits and customer questions in regulated or customer-facing settings.
How much does an AI governance and security review cost?
An AI governance and security review from XDQ Labs usually falls in the USD 1,000 to 5,000 band for a single application or agent, and in the USD 5,000 to 20,000 band when several agents, tenants or integrations are involved. The review takes one to two weeks and covers guardrails, logging, isolation, secrets and a security pass on CORS, webhook signatures, SSRF, XSS, open redirects and token hashing. Implementation of fixes can be quoted separately.
How do we keep customer data isolated in a multi-tenant AI product?
Customer data stays isolated when every query, retrieval and agent action is scoped to a single workspace at the database and application layers, not only in the user interface. XDQ Labs enforces per-workspace isolation, scopes tokens and tools to the current tenant, and tests for cross-tenant leakage in retrieval and logs. Secrets are rotated and sessions can be revoked centrally. Isolation is tested before launch and re-checked after significant releases.
Do AI guardrails slow down the product or the team?
Well-designed guardrails add little friction, because most actions pass automatically and only risky ones are delayed or sent for approval. XDQ Labs tunes the rules with your team during the first two to four weeks so routine work flows and edge cases are escalated. Approvers see the evidence and rationale in one place, which keeps reviews short. The result is that the team moves at normal speed while the business keeps a clear record of every decision.
From USD 49 or INR 2,999 a month. A person approves every step.