AI in the bank is now a supervised risk:
the
RBI-aligned governance roadmap
RBI's FREE-AI framework, the AI-Accelerated Cyber Threats advisory and CERT-In's directions turned AI into a supervised, board-owned risk for banks, NBFCs and PSOs. Here is the 5-phase roadmap a supervisor will inspect - and the runtime gap your existing stack cannot close.
Three instruments, about twelve months
Together they move AI from an innovation project to a supervised, auditable, board-owned risk - with the paperwork that phrase implies.
RBI FREE-AI Framework
7 Sutras · 6 Pillars · 26 recommendations spanning AI adoption and risk mitigation.
RBI AI-ACT&RS Advisory
Clause 4 - defend the tech stack against AI-accelerated threats. Clause 5.1-5.13 - govern your own AI.
CERT-In - Frontier AI + OEM
AI-accelerated threat defence, VAPT/BAS, accelerated patching and 6-hour incident reporting.
What all three converge on
Five phases a supervisor will inspect
FREE-AI's innovation and risk pillars, sequenced the way a CISO actually operates - and the questions you will be asked, in order.
Why this is urgent, not theoretical
From RBI's own survey of 600+ regulated entities. The gap between policy on paper and control in production is the exposure.
The gap your existing stack cannot close
Make your AI stay within intended bounds - and prove it
From pre-deployment testing, through runtime, to audit-ready evidence. HiltLock supplies the technical controls and evidence that make each phase credible - the policies, documentation and processes stay yours. We help you align; we don't issue certifications.
| Capability | Govern | Build & Test | Deploy & Enforce | Monitor & Respond | Assure |
|---|---|---|---|---|---|
| Red teaming (Assess) | |||||
| Scheduled re-testing (Monitor) | |||||
| Runtime enforcement (Control) |
Red teaming (Assess)AWS Marketplace
Architecture-aware adversarial testing of the AI already in production. An automated pass returns inside 24 hours; a human-led assessment runs one to two weeks and reaches the chains no pattern library can. Both end in working exploits with reproduction steps and a fix path, mapped to OWASP LLM Top 10 and MITRE ATLAS.
Scheduled re-testing (Monitor)AWS Marketplace
A clean report has a shelf life. Model versions change, prompts get edited, tools get wired in. Automated runs on your sprint cadence catch regression against known patterns; a human re-test each quarter catches what automation structurally cannot. This is what turns a point-in-time report into continuous assurance.
Runtime enforcement (Control)
Pre-execution policy for the boundaries that cannot live in the application. Evaluates every request before the model or agent acts, and governs employee use of public AI tools, classifying data by type, provenance and role and blocking sensitive data before it leaves. Shadow AI is a finding surfaced during assessment and governed here, not a separate product. Recommended only where a finding needs it.
RBI AI governance questions we hear from CISOs & DPOs
What is RBI's FREE-AI framework?
Does the RBI AI-ACT&RS advisory apply to NBFCs and payment system operators?
What does RBI require for AI governance in financial services?
What is CERT-In's role in AI security for regulated entities?
Do existing security tools (WAF, DLP, IAM, SIEM) meet RBI's AI requirements?
Governance playbooks for other markets
Same 5-phase structure, tuned to each market’s regulators and buyers.
Take the 2-page roadmap with you
Share it with your board, your supervisor-facing teams and your engineers - then see where you stand in a 20-minute call.