Regulator-First Intelligence Platform
RegAhead is the regulator-first risk intelligence platform for banks, insurers, NBFCs, and fintechs — converting global regulatory mandates into continuously monitored controls, powered by sovereign AI and built for audit-grade accountability.
One obligation, traced end to end. Hover any stage of the chain.
Across BFSI implementation benchmarks
Automated KYP & AI-led review vs. manual baseline
RBI, SEBI, IRDAI, ECB, EBA, FCA, FED; ISO 27001, GDPR, DPDP, SOC 2
Multi-region cloud with disaster recovery
The Regulatory Reality
In the past 24 months the global regulatory environment for financial institutions has shifted structurally — and most institutions are still tracking it in spreadsheets.
RBI, DORA, DPDP, MAS, and ISO 42001 all issued or revised major outsourcing and AI governance obligations inside the same 18-month window. Manual process cannot track, interpret, and operationalise change at that speed.
five frameworks · one 18-month window
The average BFSI institution manages 200+ active technology vendors and outsourced providers. Concentration risk, fourth-party dependencies, and supply-chain exposure do not surface in a periodic questionnaire.
200+ vendors · risk on a critical few
Regulators increasingly expect live evidence of control effectiveness, not point-in-time snapshots. The gap between what a compliance team can demonstrate and what an examiner expects widens with every supervisory cycle.
live proof · not snapshots
The compliance function does not need a more sophisticated checklist. It needs an operational intelligence layer — one that converts regulatory obligations into continuously monitored controls, alerts teams to live risk events, and produces audit-ready evidence without a manual reporting cycle.
Built On
Not a generic risk platform with a compliance module bolted on. Every layer of RegAhead is built around these three commitments.
Every control, workflow, assessment, and report starts with a specific regulatory obligation — not a generic risk framework imported from elsewhere.
The static compliance checklist is replaced with continuous, always-on surveillance across your third-party ecosystem, group entities, and regulatory horizon.
In BFSI, AI must be explainable, auditable, and sovereign. Inference runs on private expert Small Language Models — no data leaves your perimeter for processing by public AI systems.
The Knowledge Graph
Cross-framework links
One Platform
Not a module stack. Every application below reads and writes the same compliance knowledge graph, the same sovereign AI layer, and the same audit evidence store.
The regulator-first TPRM platform for BFSI. Automates the full vendor lifecycle — from Know Your Partner to continuous risk monitoring — with 200+ regulatory controls mapped per jurisdiction.
Cross-framework links
AI you can defend in front of a regulator
Most AI platforms process compliance data through shared public cloud infrastructure and general-purpose models. For a BFSI institution that is not an acceptable risk. Every inference here runs inside your environment. Your keys, your models, your data.
Every component of the inference path, inside your boundary. Hover any node.
The boundary is architectural, not contractual. Inference runs on a private model inside your deployment, keys stay in your HSM, and every call is written to an audit ledger you own — which is what makes the output defensible when an examiner asks how a rating was reached.
Domain-trained on BFSI regulatory and risk frameworks — not general-purpose LLMs repurposed for compliance. Outputs are specific, defensible, explainable.
Bring Your Own Key encryption with HSM-secured key management. Data is encrypted at rest and in transit under keys that never leave your HSM boundary.
No regulatory data, assessment result, or audit evidence is processed by public AI systems. Inference happens entirely within your deployment boundary.
Available on-premise and as private cloud for institutions with strict residency requirements — India localisation, EU data boundary, MAS cloud guidance.
Every AI recommendation, risk rating, and control assessment carries a human validation step. Regulatory defensibility requires that AI assists expert judgment rather than replacing it.
Every output includes a reasoning chain aligned to the clause, control requirement, and evidence source it drew upon. Audit logs capture every inference event.
Coverage
Not a control library with a jurisdiction filter. Each framework is mapped to the specific clauses it imposes, and the Knowledge Graph is updated as those clauses are revised.
RBIIndia
IT & ITeS Outsourcing Directions, 2023
DORAEU
ICT third-party risk, Articles 28–44
MASSingapore
Technology Risk Management
IRDAIIndia
Insurer outsourcing guidelines
HKMAHong Kong
Supervisory policy manual
SAMASaudi Arabia
Cyber security framework
DPDPIndia
Digital Personal Data Protection Act
ISO 42001Global
AI management systems, 2023
ISO 27001Global
Information security controls
SEBIIndia
BRSR Core & listed-entity disclosure
GDPREU
Processing & transfer obligations
SOXUS
Sections 302 and 404
Built For
Scheduled commercial banks, small finance banks, payments banks, co-operative banks, and DFIs managing IT outsourcing, third-party risk, and group-wide obligations under RBI, SEBI, and DORA.
Life, general, and health insurers managing vendor risk across policyholder data custodians, claims processors, and distribution technology partners under IRDAI and DPDP.
NBFC layers, MFIs, housing finance companies, and credit information companies with obligations around digital lending partners, co-lending arrangements, and outsourced credit functions.
Payment aggregators, wallets, lending platforms, and infrastructure fintechs navigating PPI guidelines, PA-PG regulations, and an expanding RBI regulatory perimeter.
ROI & business case
A standard TPRM deployment with RBI IT Outsourcing control mapping, partner onboarding workflows, and risk monitoring is operational in 4 weeks. Full platform deployment typically completes within 12–16 weeks.
Questions
A regulator-first risk intelligence platform for banks, insurers, NBFCs, and fintechs. It converts global regulatory mandates — RBI IT Outsourcing Directions, DORA, MAS TRM, IRDAI, DPDP and more — into continuously monitored controls, automated assessments, and audit-ready evidence. It is built around regulatory obligations from the ground up rather than adapted from a generic control library.
Those are horizontal enterprise GRC platforms adapted for financial services. RegAhead's Knowledge Graph natively maps obligations regulator by regulator to specific controls and evidence requirements, and its sovereign AI architecture means regulatory data never leaves your environment for processing by public AI systems.
50+ frameworks including RBI IT and ITeS Outsourcing Directions, DORA, MAS TRM, HKMA, SAMA, IRDAI outsourcing guidelines, DPDP, GDPR, ISO 27001, ISO 42001, SEBI guidelines, SOX 302 and 404, and COSO ERM. The graph is updated as regulations are revised.
Inference runs entirely within your control perimeter on private, domain-trained Small Language Models rather than public AI APIs. Regulatory data, third-party assessment results, and audit evidence never leave your environment — a non-negotiable requirement under RBI, MAS, DORA, and DPDP residency and processing obligations.
A standard TPRM deployment with RBI IT Outsourcing control mapping, partner onboarding workflows, and basic risk monitoring can be operational in 4 weeks. Full platform deployment including custom control frameworks, integration configuration, and data migration typically completes within 12–16 weeks.
Yes — API integration with GRC platforms (ServiceNow, MetricStream, Archer), ERP systems, security tooling (SIEM, vulnerability scanners), identity verification providers (MCA, GST, NSDL, credit bureaus in India), and enterprise communication platforms. The platform augments existing infrastructure rather than replacing it during transition.
Book a regulator-readiness demo
Join risk and compliance leaders across banking, insurance, and financial services replacing the compliance checklist with real-time regulatory intelligence — and entering every supervisory examination with confidence.
No commitment required. Your data stays in your perimeter — before, during, and after deployment. RegAhead operates a strict no data-sharing policy with third-party AI services.
