SarangIndia’s fintech sector is entering a compliance-first era. In November 2025, the RBI consolidated more than 9,000 circulars into 244 function-wise Master Directions and repealed 5,673 obsolete rules, signalling that scrutiny is moving from paperwork toward demonstrable, ongoing control. That same month, the Digital Personal Data Protection Rules, 2025 were notified, with substantive compliance obligations effective May 13, 2027 and penalties up to ₹250 crore for lapses in security safeguards.
Add the scale of India’s digital economy, UPI alone processed close to 21.6 billion transactions in December 2025, and it is clear why choosing the best GRC platform is now a board-level decision, not a routine IT purchase. This guide covers what separates the best GRC platforms from the rest, and how governance risk and compliance software built for continuous compliance and automated evidence collection keeps Indian fintechs audit-ready year-round.
This guide covers everything Indian fintechs need to know about selecting a GRC platform, from continuous compliance and automated evidence collection to implementation, scalability, and regulatory readiness.
How Mitigata’s Gordon AI Simplifies Governance, Risk and Compliance for Indian Fintechs
Governance, risk, and compliance become increasingly difficult to manage as regulatory requirements grow and businesses adopt more cloud services, vendors, and digital workflows. Through Gordon AI, Mitigata helps organisations replace fragmented spreadsheets and manual compliance processes with an AI-powered GRC platform that continuously monitors controls, automates evidence collection, and keeps compliance activities aligned with frameworks such as DPDP, ISO 27001, SEBI CSCRF, and RBI guidelines.
Instead of preparing for audits only when they arise. Gordon AI combines automation, real-time monitoring, and centralised governance to help security, compliance, and leadership teams manage risk more efficiently while strengthening organisational resilience.
- AI-powered compliance automation: that continuously tests controls and reduces manual compliance work.
- Automated evidence collection: from cloud, identity, and business systems to eliminate repetitive audit preparation.
- Continuous compliance monitoring: with real-time alerts whenever controls drift out of compliance.
- Centralised policy, risk, and audit management: for a single source of truth across governance activities.
- Multi-framework control mapping: across DPDP, ISO 27001, SEBI CSCRF, RBI directions, SOC 2, and other leading standards.
- Live risk registers: that link risks, controls, owners, and remediation actions in one place.
- Workflow automation: for approvals, reminders, exception handling, and policy reviews.
- Audit-ready reporting: with documentation and evidence organised for faster internal and external audits.
- Purpose-built for Indian businesses: with implementation measured in weeks rather than months and compliance workflows designed around India’s regulatory landscape.
Compliance Should Run Itself
Gordon automates controls, evidence, and policies from one AI-powered platform.
Why Indian Fintechs Need a GRC Automation Platform
Fintechs sit at the intersection of RBI oversight, SEBI norms, and the DPDP Act, and this dual mandate creates real operational friction.
- Regulatory complexity: RBI’s IT Governance and Outsourcing Directions, plus the DPDP Rules, 2025, overlap on vendor risk, breach notice, and data principal rights.
- Rising breach costs: IBM’s 2025 report puts India’s average breach cost at ₹220 million, up 13% year on year.
- Third-party risk: Outsourcing due diligence is now a board-level item.
- Audit fatigue: India’s average breach lifecycle still runs to 263 days.
- Operational bottleneck: Spreadsheets do not scale across DPDP, ISO 27001, and SEBI CSCRF at once.
A dedicated GRC automation platform gives fintechs one system of record for risk, policy, and evidence, freeing teams to focus on real risk.
What Makes the Best GRC Platform for Indian Fintechs?
When evaluating GRC software solutions, weigh these criteria:
- Framework coverage: DPDP, ISO 27001, SEBI CSCRF, RBI directions, SOC 2.
- Risk management: a live risk register linking risks to controls and owners.
- Policy management: version-controlled lifecycles with approval trails.
- Workflow automation: reminders and sign-offs, not email chains.
- AI capabilities: machine-driven control testing and anomaly detection.
- Integrations: native links to cloud, identity, and banking systems used in India.
- Reporting: audit-ready output that auditors are certain to accept.
- Scalability: grows from seed-stage fintech to full NBFC.
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GRC Implementation: Features Every Fintech Should Look For
A smooth GRC tool implementation depends on a few building blocks:
- Risk registers capturing inherent and residual risk scoring.
- Control mapping tying one control to multiple frameworks.
- Policy lifecycle management through board approval.
- Configurable approval workflows for exceptions.
- Audit readiness via evidence repositories and testing calendars.
- Multi-framework support for DPDP, ISO 27001, and SEBI CSCRF together.
One Control. Many Frameworks.
Map controls once across DPDP, ISO 27001, SOC 2, and SEBI CSCRF.
Why Continuous Compliance Is Better Than Periodic Audits
Point-in-time audits capture a single snapshot of control health, so gaps can persist for months. Continuous compliance flips this: controls are tested on an ongoing basis, and drift is flagged the moment it happens.
- Real-time monitoring instead of quarterly check-ins.
- Continuous control testing that catches misconfigurations early.
- Faster audits, since evidence is already current.
- Fewer compliance gaps between assessment cycles.
- Compliance as an ongoing discipline, as opposed to a once-a-year project.
Automated Evidence Collection: A Must-Have Feature in Modern GRC Software
Evidence collection is consistently the biggest time sink in compliance work. Hyperproof’s 2025 IT Compliance Benchmark Survey found that one in two compliance professionals spend 30 to 50% of their time on manual, repetitive evidence work.
Why Evidence Collection Consumes the Most Audit Time
Business teams get pulled away from core work whenever an auditor asks for proof.
Evidence rarely gets reused across audits, so teams start from zero each time.
Inconsistent formats and missing metadata slow review and raise the odds of findings
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Manual vs Automated Evidence Collection
The following table compares manual and automated evidence collection across the key factors that affect audit readiness, efficiency, and compliance.
| Aspect | Manual Evidence Collection | Automated Evidence Collection (Gordon AI) |
|---|---|---|
| Collection frequency | Ad hoc, mostly before an audit | Continuous, refreshed as systems change |
| Source | Screenshots, spreadsheets, email trails | Direct sync with cloud, identity, network systems |
| Team effort | Business teams pulled away repeatedly | Minimal, once controls are mapped |
| Consistency | Varies by person and department | Standardised, linked to specific controls |
| Reusability across frameworks | Low; often collected from scratch each time | High; one set maps to DPDP, ISO 27001, SEBI CSCRF |
Policies In Minutes Instead of Months.
Generate audit-ready documents with AI-powered compliance automation.
Types of Compliance Evidence
A mature system tracks: policy documents, configuration snapshots, access logs, approval trails, vendor attestations, and incident response records.
Centralised and Continuous Evidence Management
Centralising evidence lets a fintech map it once and reuse it across every framework it answers to, instead of re-collecting each time. Continuous collection goes further: evidence is captured as systems change, so the posture shown to an auditor always reflects reality.
This is where Gordon AI’s evidence collection engine adds value. It continuously syncs configuration and log data from cloud, identity, and network systems, then maps that evidence to relevant DPDP, ISO 27001, and SEBI CSCRF controls automatically, so evidence stays current instead of being assembled in a last-minute scramble.
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ServiceNow vs Gordon AI by Mitigata: Which GRC Platform Fits Indian Fintechs?
ServiceNow’s GRC module is a capable offering built on a much larger ITSM platform, and remains a strong choice for large global organisations already invested in that ecosystem. For Indian fintechs, implementation speed and India-specific coverage often matter more. Here is an objective comparison.
| Evaluation Criteria | ServiceNow GRC | Gordon AI by Mitigata |
|---|---|---|
| Implementation complexity | Multi-module ITSM/GRC suite; needs specialised consultants and a phased rollout | Purpose-built for GRC with guided setup; live in weeks |
| Evidence collection | Supported, but needs configuration effort for automation | Native engine syncing logs and configurations to controls continuously |
| AI-powered automation | Layered on a legacy ITSM architecture | AI-native, built for Indian compliance automation |
| Continuous compliance | Achievable via add-on modules and integration work | Built in, with real-time control monitoring and drift alerts |
| Reporting | Broad, enterprise-grade dashboards | Audit-ready reports mapped to DPDP, ISO 27001, and SEBI CSCRF |
| Best-fit organisation size | Large global enterprises with existing ServiceNow investment | Growing and mid-market Indian fintechs and NBFCs |
| Integrations | Extensive, strongest within ServiceNow’s own suite | Targeted to Indian cloud, identity, and banking stacks |
| Time to value | Longer, given implementation scope | Faster, with India-first templates |
Both platforms have a place in the market. Larger enterprises with deep ServiceNow investments may find it a natural extension, while growing Indian fintechs seeking faster, India-first automation tend to fit closer with a platform such as Gordon AI.
From Gap To Audit Ready
Gordon identifies, fixes, and continuously monitors compliance gaps.
Best Practices for Choosing a GRC Platform
When shortlisting among the top GRC platforms, weigh these factors together:
- Ease of implementation for your team’s size and bandwidth.
- Depth of automation across evidence, testing, and reporting.
- Integration with your existing cloud and identity stack.
- Reporting quality: genuinely audit-ready, not needing rework.
- Vendor support with local RBI, SEBI, and DPDP expertise.
- Scalability, so the platform grows with the business.
Conclusion
Indian fintechs need more than a compliance tracker. They need a platform that automates governance, risk, and compliance end-to-end, simplifying implementation, supporting continuous compliance, automating evidence collection, and improving audit readiness across DPDP, ISO 27001, and SEBI CSCRF alike.
Gordon AI by Mitigata helps growing fintechs cut manual effort and manage compliance through AI-driven automation built for India’s regulatory landscape. See how Gordon AI’s automated evidence collection and continuous compliance monitoring get your team audit-ready faster. Talk to our experts today.
Frequently Asked Questions
What is GRC automation?
GRC automation is the product that handles governance, risk, and compliance tasks, like control testing and evidence collection, automatically.
1. What is the best GRC platform?
For Indian fintechs, the strongest fit has native DPDP, ISO 27001, and SEBI CSCRF coverage plus continuous compliance and automated evidence, such as Gordon AI.
2. How does continuous compliance work?
It replaces point-in-time audits with ongoing testing and real-time monitoring, so gaps are flagged as they occur.
3. What is automated evidence collection?
Pulling proof of control operation, like configuration snapshots and access logs, directly from source systems on an ongoing basis.
4. How long does GRC implementation take?
Enterprise suites can take months; purpose-built fintech platforms often reach audit-readiness in weeks.
5. Is ServiceNow suitable for fintechs?
It suits large enterprises invested in its ITSM ecosystem. Growing fintechs often prefer India-specific, faster-to-implement platforms.
6. How can AI improve governance, risk, and compliance?
By continuously testing controls, flagging anomalies, automapping evidence, and cutting compliance teams’ manual workload.
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