RBI’s Revised Regulatory Framework Puts New Compliance Requirements in Focus for Indian Banks

RBI’s Revised Regulatory Framework Puts New Compliance Requirements in Focus for Indian Banks

Indian banks are preparing for a more demanding regulatory environment as the Reserve Bank of India rolls out and proposes a series of revised frameworks covering risk management, compliance, internal audit, board governance, data management and model risk.

A central element is the RBI's consolidated framework for Risk Management, Compliance and Internal Audit, which requires commercial banks to maintain independent control functions led by a Chief Risk Officer, Chief Compliance Officer and Head of Internal Audit. The amended directions are scheduled to take effect from January 1, 2027. (Business Standard)

Separately, revised requirements governing matters placed before bank boards take effect on October 1, 2026, with boards expected to focus more closely on strategy, risk, governance and matters specifically reserved for their approval. (Business Standard)

Together with proposed data-governance and model-risk requirements, these changes indicate that regulatory compliance is increasingly moving from a specialised back-office responsibility toward a central element of bank governance.

RBI Strengthens the Three Lines of Control

The revised framework places particular emphasis on three functions:

• Risk management

• Compliance

• Internal audit

Each function must operate independently from business lines.

The objective is to prevent commercial priorities from weakening the ability of control teams to identify, report and challenge risks.

The RBI has specifically stated that these functions should remain free from business targets and have unrestricted access to relevant business areas and records. (Business Standard)

Chief Risk Officer Gains Greater Independence

The Chief Risk Officer will play a particularly important role.

Under the revised framework, the CRO must be sufficiently senior within the organisation and functionally accountable to the board or appropriate board committee.

The CRO is also expected to participate as an invitee in credit-sanction and approval committees, although without voting rights. (Business Standard)

This arrangement allows the risk function to challenge lending decisions without becoming the commercial decision-maker.

Banks Cannot Easily Override Risk Concerns

The revised framework introduces greater accountability when business teams proceed against the CRO's advice.

Where a decision involves assuming risk contrary to the CRO's recommendation without adequate mitigation, approval must come from the next higher authority in the delegation hierarchy.

The matter must also be reported to the board or its risk-management committee. (Business Standard)

This creates an escalation mechanism around risk-taking.

Chief Compliance Officer Becomes More Important

The Chief Compliance Officer is similarly expected to operate independently.

Compliance teams need to assess whether a bank is following applicable:

• RBI regulations

• Internal policies

• Regulatory reporting obligations

• Governance requirements

As banking becomes more digital and interconnected, the scope of compliance is expanding considerably.

The function increasingly covers areas extending beyond traditional banking operations into technology, data and third-party relationships.

Banks Must Conduct Annual Compliance Risk Assessments

The revised framework requires banks to maintain an annual compliance risk assessment. (Business Standard)

This shifts compliance toward a more systematic risk-based model.

Instead of simply asking whether a regulation has been followed, banks need to identify where their greatest compliance vulnerabilities exist.

Those vulnerabilities can arise from:

Products → Processes → Technology → Employees → Vendors → Customer interactions

The assessment can then influence monitoring and remediation priorities.

Internal Audit Must Become More Risk-Based

The RBI has also strengthened expectations around internal audit.

Banks will need to adopt a risk-based internal audit framework covering all significant activities, with higher-risk areas reviewed more frequently. (Business Standard)

This means audit resources should not be distributed uniformly.

A complex digital-lending operation may require substantially greater scrutiny than a relatively low-risk administrative function.

Senior Control Officers Receive Fixed Tenures

The revised directions state that the CRO, CCO and Head of Internal Audit should ordinarily receive fixed tenures of at least three years. (Business Standard)

This is intended to protect the independence of these officials.

A control officer who can be removed easily after challenging management may not be sufficiently independent.

Fixed tenure creates stronger institutional protection.

Premature Removal Requires Board Involvement

Premature transfer or removal of senior control-function officials will require board approval.

Appointments and exits are also subject to greater regulatory reporting requirements.

For example, appointment, reappointment, removal or exit of the CRO must be reported to the RBI within five working days. (Business Standard)

These requirements strengthen regulatory visibility into the independence and stability of banks' control functions.

Control Officers Must Have Direct Board Access

Another important requirement concerns communication with directors.

The CRO, CCO and Head of Internal Audit must be able to meet the board or relevant board committee at least once every quarter without senior management present. (Business Standard)

This creates a direct channel between control functions and directors.

If management itself is creating or ignoring a risk, the responsible control officer must be able to raise the issue independently.

Performance Reviews Shift Toward the Board

The final performance reviews of these senior control officers will also be undertaken by the board or appropriate board committee. (Business Standard)

This reduces the possibility that executives whose decisions are being scrutinised can directly control the career outcomes of the people performing that scrutiny.

The principle is straightforward:

A control function cannot be genuinely independent if the business function it monitors controls its incentives.

Bank Boards Face Their Own Revised Framework

The RBI has separately revised the framework governing matters placed before bank boards.

These changes take effect from October 1, 2026. (Business Standard)

The objective is somewhat different.

Instead of continuously increasing the number of matters reaching directors, the RBI wants boards to spend more time on genuinely strategic and risk-sensitive issues.

Boards Must Define Reserved Matters

Under the revised framework, bank boards must explicitly identify matters that remain reserved for their own approval. (Business Standard)

They must also periodically review powers delegated to management.

This creates a clearer distinction between:

Board oversight

and

Day-to-day management

The board should govern rather than attempt to manage every operational decision.

RBI Wants Boards Focused on Strategy

The regulatory philosophy reflects feedback that boards were spending excessive time on operational matters.

RBI Governor Sanjay Malhotra had earlier said the central bank was reviewing requirements so boards could concentrate more effectively on policy and strategic issues. (Business Standard)

The revised framework therefore attempts to reduce unnecessary board-level operational workload while strengthening accountability for matters that genuinely require director oversight.

Risk Governance Becomes a Board-Level Responsibility

The board remains responsible for oversight across critical areas including:

• Risk management

• Strategy

• Policy

• Related-entity exposures

• Corporate governance

• Compliance

This reinforces an important regulatory principle.

Senior executives can operate the bank, but ultimate oversight cannot be delegated away from the board. (Business Standard)

Data Governance Is Emerging as the Next Compliance Layer

The RBI has also proposed a comprehensive data-governance framework for banks, NBFCs and other regulated entities.

The draft focuses on characteristics including:

• Accuracy

• Consistency

• Confidentiality

• Integrity

• Traceability

It also addresses customer consent, third-party data sharing and board oversight. (Business Standard)

Data is therefore increasingly being treated as a formal risk-management issue rather than simply an information-technology matter.

Why Data Quality Matters for Banks

Banks operate on enormous volumes of information.

That includes:

• Customer identities

• Transaction histories

• Loan records

• Collateral

• Credit scores

• Fraud alerts

• Regulatory reports

Poor-quality information can lead to poor decisions.

Incorrect data can affect credit underwriting, regulatory reporting and fraud detection.

The RBI's proposed framework therefore places greater responsibility on banks to understand where their data comes from and whether it remains reliable throughout its lifecycle.

ECL Makes Data Quality Even More Important

The proposed data-governance requirements are particularly relevant ahead of India's transition toward an Expected Credit Loss framework, scheduled from April 1, 2027. (Business Standard)

ECL requires banks to estimate potential future credit losses rather than relying primarily on losses that have already become evident.

Those calculations depend heavily on historical and current data.

Poor data can produce poor provisioning estimates.

Banks Need Better Historical Credit Data

Expected credit-loss models can require information covering:

• Default histories

• Recoveries

• Borrower behaviour

• Macroeconomic conditions

• Collateral values

Banks therefore need reliable datasets spanning long periods.

Institutions with fragmented legacy technology systems may face greater implementation challenges.

AI Creates Another Regulatory Challenge

Artificial intelligence is rapidly becoming part of banking operations.

Banks are using AI and machine-learning models across areas such as:

• Credit underwriting

• Fraud detection

• Customer service

• Marketing

• Collections

• Risk monitoring

The RBI has responded by proposing broader regulatory principles for model-risk management covering all models used by regulated entities, including AI and machine-learning systems. (Business Standard)

Third-Party AI Models Are Also Covered

One particularly important aspect of the proposed model-risk framework is its scope.

It applies not only to models developed internally but also to third-party and jointly developed models. (Business Standard)

That means a bank cannot completely outsource regulatory responsibility simply by purchasing technology from a vendor.

If a third-party AI system influences banking decisions, the regulated institution still needs appropriate governance and controls.

AI Models Require Independent Validation

The proposed approach emphasises stronger oversight throughout the model lifecycle.

Banks may need capabilities around:

• Model identification

• Validation

• Monitoring

• Documentation

• Stress testing

• Human oversight

This creates a new compliance discipline combining banking, statistics, technology and governance. (Business Standard)

Human Oversight Remains Important

Automated decision-making can improve speed and efficiency.

But banking decisions can have significant consequences for customers.

A poorly designed model could incorrectly:

• Reject borrowers

• Flag transactions

• Price loans

• Identify fraud

The RBI's emerging framework therefore places emphasis on governance and human accountability rather than assuming that automated systems are inherently reliable. (Business Standard)

AI Compliance Could Increase Costs

Greater model governance creates additional expenditure.

Banks may need to hire or develop:

• AI risk specialists

• Model validators

• Data scientists

• Compliance professionals

• Technology auditors

They may also need new software systems for model inventories, monitoring and documentation.

Industry analysis has consequently highlighted the potential for AI compliance requirements to raise costs across banks, NBFCs and fintechs. (Business Standard)

Compliance Is Becoming More Technology-Intensive

Traditional compliance teams were often dominated by legal and banking specialists.

Modern regulatory compliance increasingly requires multidisciplinary expertise.

A major bank may now need compliance teams capable of understanding:

Banking regulation + Cybersecurity + Data + AI + Cloud systems + Third-party technology

This is changing the skills required across financial institutions.

RegTech Spending Could Increase

The expanding compliance burden creates opportunities for regulatory-technology providers.

Banks can use specialised systems to automate:

• Regulatory reporting

• Transaction monitoring

• KYC

• Risk alerts

• Audit trails

• Compliance testing

Automation becomes particularly valuable when regulatory obligations involve millions of customer records and transactions.

CKYC 2.0 Adds Another Major Data Transition

India is also moving toward CKYC 2.0, a redesigned centralised customer-identification framework.

The system is intended to allow customers to consent to sharing identity information stored in a central registry rather than repeatedly submitting the same documentation across financial institutions. (Reuters)

The initiative could reduce customer onboarding friction while simultaneously increasing requirements around data accuracy and secure consent management.

CKYC 2.0 Could Simplify Customer Onboarding

The existing central KYC database contains around 1.2 billion records, but inconsistent data quality has historically limited its effectiveness.

CKYC 2.0 introduces mechanisms including a confidence score for data accuracy and verification. (Reuters)

For banks, successful implementation could eventually reduce duplication.

For compliance teams, however, the transition requires integration with another major financial-data infrastructure system.

Customer Consent Becomes Central

Modern financial regulation increasingly focuses on who can access customer data and why.

A bank may possess enormous amounts of information about a customer.

That does not mean every employee, vendor or algorithm should have unrestricted access.

Banks therefore need systems capable of recording:

• Consent

• Purpose

• Access

• Sharing

• Retention

This creates a more sophisticated data-governance environment.

Third-Party Vendors Create Compliance Risk

Banks increasingly depend on external technology companies for:

• Cloud infrastructure

• Software

• AI models

• Payment technology

• Cybersecurity

• Data analytics

This can improve efficiency but expands the institution's risk perimeter.

A failure at an external vendor can still affect customers and banking operations.

Vendor governance is therefore becoming a more important part of regulatory compliance.

Compliance Can No Longer Be Treated as a Checklist

The direction of RBI regulation increasingly points toward risk-based supervision.

The key question is moving from:

“Did the bank complete the required procedure?”

toward:

“Does the bank actually understand and control the underlying risk?”

This represents a more demanding standard.

A bank can technically complete a checklist and still operate with weak risk governance.

Senior Management Accountability Increases

The revised framework also makes it harder for management to treat control failures as purely operational issues.

Risk, compliance and audit functions now have clearer reporting lines to boards.

This means significant issues can escalate directly to directors.

Senior executives consequently need to demonstrate that regulatory compliance is embedded in business decisions rather than added afterward.

Boards Need Greater Technical Expertise

The growing complexity of banking regulation also creates challenges for directors.

Boards increasingly oversee risks involving:

• Cybersecurity

• AI

• Cloud computing

• Digital lending

• Data governance

Traditional banking knowledge remains essential, but boards may increasingly require access to specialised technology expertise.

This could influence future director appointments and board training.

Larger Banks May Absorb Compliance Costs More Easily

The regulatory transition may affect banks differently.

Large institutions can spread compliance investments across enormous balance sheets.

Smaller banks may face proportionately higher costs.

For example, both may need sophisticated data-governance systems.

But the larger institution can distribute the cost across a much larger revenue base.

This can create economies of scale in regulatory compliance.

PSU Banks Face Legacy-System Challenges

Public-sector banks have invested heavily in technology modernisation, but some continue operating complex legacy infrastructure accumulated over decades.

New requirements around:

• Data lineage

• AI governance

• ECL

• Real-time monitoring

can require substantial system integration.

Technology modernisation may therefore become increasingly connected to regulatory compliance.

Private Banks Face Complexity From Digital Scale

Large private banks face a different challenge.

They often operate sophisticated digital platforms serving enormous transaction volumes.

Greater digital activity creates additional:

• Cyber risk

• Data risk

• Model risk

• Vendor risk

Regulatory compliance therefore becomes more complex as digital banking expands.

Compliance Spending Could Pressure Near-Term Costs

Banks may need to increase expenditure on:

• Employees

• Consultants

• Software

• Data infrastructure

• Audit

• Model validation

That can create some near-term pressure on operating expenses.

However, stronger risk controls can reduce the probability of much larger future losses.

The economic trade-off is therefore:

Higher preventive cost today versus potentially lower financial and reputational losses later.

Strong Compliance Can Become Competitive Advantage

Regulation is often viewed purely as a cost.

But strong compliance infrastructure can create strategic advantages.

A bank with reliable data and strong governance may be able to:

• Launch products faster

• Detect fraud earlier

• Use AI more safely

• Reduce operational errors

• Earn greater regulatory confidence

Compliance capability can therefore become part of operational quality.

Poor Compliance Can Carry Significant Costs

The opposite is also true.

Weak controls can result in:

• Regulatory penalties

• Business restrictions

• Customer compensation

• Reputational damage

• Remediation costs

For a large bank, these consequences can exceed the cost of building effective controls.

RBI Is Moving Toward Preventive Supervision

Taken together, the revised frameworks indicate a regulatory philosophy increasingly focused on preventing problems before they become balance-sheet crises.

Risk officers should challenge decisions before excessive risk is accepted.

Compliance teams should identify vulnerabilities before regulations are breached.

Internal auditors should focus more heavily on high-risk areas.

Data systems should identify weaknesses before models produce unreliable results.

This represents a shift toward proactive supervision.

What Banks Need to Prepare For

The most immediate priorities include:

• Implementing revised board-governance requirements by October 1, 2026

• Preparing independent risk, compliance and audit structures for January 1, 2027

• Strengthening data architecture ahead of ECL

• Reviewing AI and model-governance systems

• Improving third-party oversight

• Strengthening board reporting

• Building specialised compliance talent

The transition therefore spans governance, technology and human resources.

What Investors Should Watch

For investors evaluating Indian banks, regulatory readiness is becoming increasingly relevant.

Important indicators include:

• Compliance expenditure

• Technology investment

• ECL provisions

• Operational-risk incidents

• Regulatory penalties

• Data-modernisation progress

• Board governance

• Risk-management quality

Institutions with stronger systems may absorb the transition more smoothly.

Outlook

Indian banking regulation is entering a phase where governance, technology and risk management are becoming increasingly interconnected.

The RBI's consolidated risk, compliance and audit framework takes effect on January 1, 2027, while revised board requirements become effective on October 1, 2026. (Business Standard)

At the same time, proposed data-governance and model-risk frameworks could introduce additional obligations around information quality, AI oversight and third-party systems. (Business Standard)

Banks therefore have several regulatory transitions to manage simultaneously.

Conclusion

The RBI's revised regulatory architecture represents more than another layer of banking rules.

It reflects a broader shift toward independent control functions, stronger board accountability, risk-based auditing, better data governance and more rigorous oversight of AI and financial models.

Commercial banks must prepare for the new risk, compliance and internal-audit framework from January 1, 2027, while revised board-governance requirements take effect from October 1, 2026. (Business Standard)

Additional reforms involving ECL, data governance, CKYC 2.0 and model-risk management further increase the scale of the transformation.

For Indian banks, the challenge will be to absorb these requirements without allowing compliance complexity to slow innovation or significantly weaken operating efficiency.

Those that build stronger data, governance and risk-management infrastructure could emerge with an advantage: not simply because they comply with regulation, but because the same systems can also support better lending decisions, safer AI deployment and more resilient banking operations.