How A Cooperative Bank in Gujarat protects its assets with Hunto AI takedowns.
Industry
Urban Cooperative Banking
Employees
500+ employees
Location
Gujarat, India
Product used
Hunto AI Brand Monitoring and Takedown
About the Client
This cooperative bank serves retail and MSME customers through a multi-branch network in Gujarat. Digital channels such as public websites, mobile banking help pages, WhatsApp announcements, social handles, and recruitment or vendor microsites extend the bank’s public footprint.
High community visibility and seasonal product campaigns attract impersonators who create look-alike domains, fake social accounts, and fraudulent ad placements to divert users to phishing flows.
Regulatory requirements and audit readiness
RBI’s Cyber Security Framework for Banks expects continuous surveillance, incident reporting, and stakeholder awareness. It explicitly calls out phishing and social engineering, requires banks to report unusual cyber incidents, and recommends a SOC that supports continuous monitoring. Evidence of detection, response, and closure is expected during supervisory interactions. Reserve Bank of India
In addition, the RBI Outsourcing of IT Services Directions, 2023 apply to Primary Urban Cooperative Banks and other regulated entities. They reinforce governance of third parties, audit rights, and the need for controls that do not diminish obligations to customers. Brand abuse that originates on vendor managed public assets still requires bank oversight, documentation, and timely action. FIDC+1
Other Challenges
Brand impersonation around campaigns
Festival offers, KYC revalidation notices, and card block or unblock themes were copied by fraudsters to harvest OTP, UPI, and credentials. Some malicious pages briefly outranked official results for queries like net banking login and customer care phone number.
Fragmented takedown workflows
Each registrar, host, social network, app store, and ad network required different evidence, notices, and policy citations. Manual submissions stretched time to takedown and allowed mirrors to resurface.
Support strain and trust risk
Scam waves increased ticket volume and branch escalations. CX teams lacked a single script and bank approved verification guidance that could be posted publicly and reused in replies.
Hunto AI Solution
Objective: detect and remove impersonation infrastructure across domains, social, job boards, messaging, and ads, then provide audit grade proof that aligns with RBI expectations.
Rapid onboarding and risk pattern seeding
We ingested official domains and verified handles, campaign keywords, and common lure patterns seen in Indian banking such as KYC revalidation, refund confirmation, UPI or OTP harvest, prize offers, and priority customer support themes. Output formats and legal or policy hooks were tailored for registrars, hosts, social platforms, app stores, and ad networks.
Always on brand monitoring
Look-alike domains were identified through fuzzy matching, homograph checks, newly observed passive DNS entries, and logo or name similarity on landing pages.
Social and job boards were swept for imposter support profiles, fake recruitment listings, and vendor or tender scams that request documents or fees.
Search and ads watchlists flagged malicious paid placements and SEO traps that intercept branded queries during high traffic windows.
Agentic takedown execution with evidence
- For every finding, Hunto AI auto assembled a case file with screenshots, WHOIS and ASN, hosting metadata, time stamped crawls, link graphs, and the specific platform policy citations.
- Platform native notices were sent to registrars or hosts, social networks, app stores, and ad networks.
- Post removal re scans located mirrors and related infrastructure, so clusters were suppressed rather than only a single URL.
Customer safety and CX enablement
- A paste ready Official Channels micro page listed verified URLs, app IDs, social handles, and a how to report flow.
- CX scripts for branch and support teams reduced handling time and standardized escalation, including a short verification checklist for customers.
Reporting and governance
An executive dashboard presented detections, median Time to Takedown, first notice acceptance rate, scam survival time, and a directional proxy for revenue or trust protection.
A monthly evidence archive packaged all case files for audits and management committee reviews and labeled vendor or partner owned public assets to support third party oversight.
An executive dashboard presented detections, median Time to Takedown, first notice acceptance rate, scam survival time, and a directional proxy for revenue or trust protection.
A monthly evidence archive packaged all case files for audits and management committee reviews and labeled vendor or partner owned public assets to support third party oversight.
Impact
“We replaced ad hoc screenshots with a measurable and repeatable process. Fraud pages come down faster, customer guidance is clear, and audit questions are answered with one export.”
— Head of IT and Operations, cooperative bank in Gujarat
Reporting and governance
Measured outcomes in the first 120 days, suitable for publication
Scale
186 abusive assets detected across domains, social, job boards, and ads
78 percent removed on first notice, most remaining cleared after one follow up
Velocity
Median Time to Takedown under 24 hours for domains and hosts
Median Time to Takedown under 12 hours for social and job board listings after evidence submission
Search and ad protection
Malicious paid placements reported within 2 to 6 hours of first appearance during seasonal pushes, reducing diversion from branded queries
Customer support relief
Noticeable drop in scam related enquiries after the Official Channels page and CX scripts went live, with faster internal escalation and fewer repeat investigations
Governance
Evidence ready, time stamped takedown files shortened responses to internal audit and supervisory requests related to external monitoring and incident handling
How Hunto AI maps to RBI expectations
Cyber Security Framework in Banks, June 2, 2016
- Continuous surveillance and SOC capability: Hunto AI’s 24 by 7 monitoring and alerting provide external threat telemetry that feeds internal SOC functions. Reserve Bank of India
- Phishing and social engineering readiness: The circular lists phishing and spear phishing among threats that banks must prevent, detect, and report. Brand Monitoring detects these campaigns in the wild and produces the evidence chain for response and reporting. Reserve Bank of India
- Incident reporting and evidence: The framework requires prompt reporting of unusual cyber incidents and prescribes an incident information format in Annex 3. Hunto AI exports an evidence pack with artefacts and timestamps that can be attached to incident logs and reports. Reserve Bank of India
- Stakeholder awareness and customer protection: The circular expects banks to promote cyber resilience objectives with customers, vendors, and service providers. Our Official Channels guidance and CX scripts are designed for this requirement. Reserve Bank of India
RBI Outsourcing of IT Services Directions, April 10, 2023
An executive dashboard presented detections, median Time to Takedown, first notice acceptance rate, scam survival time, and a directional proxy for revenue or trust protection.
A monthly evidence archive packaged all case files for audits and management committee reviews and labeled vendor or partner owned public assets to support third party oversight.
Why Hunto AI worked here
Speed with proof
Agentic evidence assembly and platform native submissions improved first time acceptance and reduced cycle time to removal.
One console for lean teams
Detection, takedown, mirror hunting, and CX guidance were managed without increasing headcount.
Audit friendly by design
Evidence archives, month over month trendlines, and vendor asset visibility map cleanly to RBI expectations on continuous monitoring, incident handling, and third party oversight.
About Hunto AI
Hunto AI quantifies external cyber and brand risk and resolves it automatically. Brand Monitoring and Takedown detects impersonation across domains, social, job boards, messaging, and ads, then executes removals with evidence that stands up to scrutiny. Organizations can add Attack Surface Monitoring later to consolidate external hygiene in one platform.
Note: Client identity and certain metrics are anonymized due to confidentiality commitments.
Quantify your cyber risk with Hunto AI’s 100% autonomous, agentic external-threat monitoring.
Book a 30-minute walkthrough to see your live Attack Surface Map and a Brand Abuse Snapshot for your domains—no integration required.