How Hunto AI Protects Kurmanchal Nagar Sahakari Bank’s Digital Brand
Industry
Urban Cooperative Banking
Scale
Total business and deposits 4,100 Cr+
Service used
Hunto AI Brand Monitoring and Takedown
Location
North India
About Client
Kurmanchal Nagar Sahakari Bank serves retail and MSME customers through a multi-branch network with digital channels such as mobile banking, UPI, IMPS, net banking, and public information pages. Community trust, local reputation, and seasonal campaigns are central to growth. These same strengths make the bank a frequent target for impersonation and fraud using look-alike domains, fake support handles, and search ads that misdirect customers.
Challenges faced
Impersonation around high-intent moments
Fraudsters stood up spoofed websites and social profiles during interest-rate promotions, festival campaigns, and new product launches. Lures included KYC revalidation, refund or settlement confirmations, UPI and OTP harvest, and card block or unblock requests.
Hijacked branded search and social
Malicious paid placements and SEO-poisoned pages occasionally appeared above official results for queries such as net banking login, customer care, and loan subsidy information. Some imposter handles replied to bank posts with “priority help” numbers.
Fragmented takedown workflows
Each registrar, host, social network, job board, app store, and ad network required different proofs, legal hooks, and submission formats. Screenshots lived in inboxes, so time to takedown varied and mirrors reappeared.
RBI audit readiness and third-party oversight
Supervisory reviews expect banks to demonstrate continuous monitoring, incident reporting, and oversight of vendor-managed public assets. Evidence to show that brand abuse was detected, actioned, and closed needed to be consistent and exportable.
Customer support strain and trust risk
Scam waves spiked ticket volumes and branch escalations. CX teams lacked bank-approved scripts and a public reference for verified channels, which slowed resolutions and confused customers.
Hunto AI Solution
Objective: reduce external impersonation quickly across domains, social, job boards, messaging, and ads while producing audit-grade proof aligned to RBI expectations, without expanding headcount.
Rapid onboarding and pattern seeding
Hunto AI ingested official domains, verified social handles, app IDs, and campaign keywords. We seeded banking-specific lure libraries such as KYC revalidation, refund confirmations, UPI or OTP capture, prize or festival offers, and priority customer support claims.
Always-on brand monitoring
- Look-alike domain hunting using fuzzy matching, homograph checks, passive DNS, and page similarity to catch suspicious registrations early
- Social and job-board sweeps for imposter support handles, fake recruitment, and vendor fee scams
- Search and ads watchlists to flag malicious paid placements and SEO traps intercepting branded queries during peaks
- Messaging and link-hub tracking to identify amplification networks behind recurring scams
Agentic takedown execution with evidence
- Auto-assembled case files for every finding: screenshots, WHOIS/ASN, hosting metadata, timestamped crawls, link graphs, and platform-policy citations
- Platform-native notices to registrars/hosts, social networks, job boards, app stores, and ad networks—to lift first-notice acceptance
- Post-removal re-scans mapping mirrors and connected infrastructure so clusters are suppressed, not just single URLs
Customer safety and CX enablement
- Paste-ready Official Channels microsnippet listing verified URLs, app IDs, and handles, with a simple “how to report” flow
- Short CX scripts for branches and contact center to standardize verification, escalation, and education
Reporting and governance
Executive dashboard showing detections, median Time-to-Takedown (TTD), first-notice acceptance, scam survival time, and a directional proxy for trust/revenue protection
Monthly evidence archives packaging all case files for internal audit and supervisory interactions, with vendor-ownership labels for third-party oversight
Impact
“We replaced ad-hoc screenshot chasing with a measurable, repeatable process. Fraud pages come down faster, customers get clear guidance, and we answer audit questions with a single export.”
– Head of IT & Operations, Gujarat co-operative bank (name withheld)
Measured outcomes in the first 120 days suitable for publication
Scale
- 165+ abusive assets detected across domains, social, job boards, and ads
- ~77% removed on first notice; most of the remainder cleared after one follow-up
Velocity
- Median TTD under 24 hours for registrar/hosting cases
- Median TTD under 12 hours for social and job-board listings after evidence submission
- Malicious paid placements reported within 2–6 hours during campaign peaks, reducing diversion from branded queries
Customer support relief
- Visible drop in scam-related enquiries after Official Channels and CX scripts went live
- Fewer repeat investigations due to standardized evidence packs and closure templates
Governance
- Evidence-ready, time-stamped case files shortened responses to internal audit and supervisory requests on external monitoring and incident handling
- Clear oversight of vendor-managed public assets during third-party reviews
How Hunto AI maps to RBI and national cyber expectations
RBI Cyber Security Framework in Banks (2016)
Expects continuous surveillance, incident handling, and resilience against phishing/social engineering. Hunto AI’s 24×7 external monitoring and evidence packs feed the SOC and incident records supervisors expect to see.
RBI Outsourcing of IT Services Directions (2023)
Requires governance and oversight for third parties so outsourcing does not dilute obligations to customers or impede supervision. Hunto AI’s vendor-asset labeling, takedown metrics, and monthly archives support audit rights and periodic service-provider reviews.
CERT-In Directions under the IT Act (May 2022)
Mandate six-hour reporting for specified cyber incidents and 180-day log retention in India. Phishing, identity misuse, and fake apps fall within reportable classes; Hunto AI’s time-stamped artifacts align with logging and timely reporting.
Digital Personal Data Protection Act (2023)
Requires reasonable security safeguards and breach notification as prescribed. By suppressing impersonation infrastructure early and documenting actions, Hunto AI strengthens due-diligence and breach-prevention posture.
Why this worked for a manufacturing brand
Speed with proof
Agentic evidence assembly and platform-native submissions improve first-time acceptance and shorten removal cycles.One console for lean teams
Detection, takedown, mirror hunts, and CX guidance run in a single workflow without extra headcount.Compliance and security together
Evidence archives, trendlines, and vendor visibility map cleanly to RBI expectations while cutting real fraud in the wild.
About Hunto
Hunto AI quantifies external cyber and brand risk and resolves it automatically. Brand Monitoring & Takedown detects impersonation across domains, social, job boards, messaging, and ads, then executes removals with evidence that stands up to scrutiny. Banks can add Attack Surface Monitoring to consolidate external hygiene in one platform.