Jodhpur Nagrik Sahakari Bank Ltd
How Jodhpur Nagrik Sahakari Bank protects its brand with Hunto AI
Industry
Urban Cooperative Banking
Employees
200+
Product used
Hunto AI Brand Monitoring and Takedown
Location
Rajasthan, India
About Client
Jodhpur Nagrik Sahakari Bank serves retail and MSME customers through a community footprint of ten branches and digital channels such as mobile and net banking. The bank’s public-facing surfaces include its website, campaign pages, verified social handles and help content. That visibility attracts impersonation attempts that ride on the bank’s name to trick customers into OTP or UPI disclosure, KYC revalidation scams and refund or settlement fraud.
Challenges faced
Impersonation at peak moments
Fraudsters launched look-alike domains, fake support profiles and phishing pages during festival campaigns, rate promotions and new product pushes. Lures included KYC revalidation, card block or unblock prompts, refund confirmation and “priority support” numbers.
Fragmented takedown workflow
Each registrar, host, social network, app store and ad platform demanded different evidence artifacts and policy citations. Screenshots lived in inboxes, which slowed time to takedown and allowed mirrors to reappear.
Audit readiness and third-party oversight
Supervisory reviews expected evidence of continuous monitoring, incident reporting and oversight of vendor-managed public assets. Legal and audit teams needed artifact-rich case files that could be exported and shared quickly.
Hunto AI Solution
Objective: detect and remove impersonation infrastructure across domains, social, job boards, ads and messaging then deliver platform-acceptable, audit-grade proof without adding headcount.
Rapid onboarding and pattern seeding
We ingested official domains and verified handles, app IDs and campaign keywords. We seeded a banking-specific lure library covering KYC revalidation, UPI and OTP harvest, refund and settlement confirmation, card block or unblock and fee-collection scams.
Always-on brand monitoring
- Look-alike domain hunting using fuzzy and homograph checks with passive DNS and page-similarity scoring to flag suspicious registrations early
- Social, job board and messaging sweeps to find imposter support profiles, fake recruitment and tender or vendor scams
- Search and ads watchlists to alert on malicious paid placements and SEO traps intercepting branded queries during high-traffic periods
Agentic takedown execution with evidence
- Auto-assembled case files for every finding containing screenshots, WHOIS and ASN, hosting metadata, timestamped crawls, link graphs and platform policy citations
- Platform-native notices to registrars and hosts, social platforms, job boards, app stores and ad networks that improve first-notice acceptance
- Post-removal re-scans to map mirrors and connected infrastructure so clusters are suppressed, not just single URLs
Customer safety and CX enablement
- A paste-ready Official Channels microsnippet for the website and mobile app that lists verified URLs, app IDs and handles plus a simple how-to-report flow
- Short scripts for branches and contact centre teams to standardize verification, escalation and customer education
Reporting and governance
- Executive dashboard with detections, median Time to Takedown, first-notice acceptance, scam survival time and a directional trust-protection proxy
- A monthly evidence archive that packages 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 audit questions are answered with one export.”
– Head of IT and Operations, Jodhpur Nagrik Sahakari Bank
Measured outcomes in the first 120 days suitable for publication
Scale
- 175 plus abusive assets detected across domains, social, job boards and ads
- About 77 percent removed on first notice, with most of the remainder cleared after a single follow-up
Velocity
- Median Time to Takedown under 24 hours for registrar and hosting cases
- Median Time to Takedown under 12 hours for social and job-board listings after evidence submission
- Malicious paid placements reported within 2 to 6 hours during campaign peaks, reducing diversion from branded queries
Customer support relief
- Visible drop in scam-related inquiries 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 related to 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
Continuous surveillance and incident response are foundational. Hunto AI’s 24×7 external monitoring and alerts feed SOC processes and incident logs. The framework highlights phishing and social-engineering threats that must be prevented, detected and reported. Brand Monitoring detects real-world campaigns and produces the evidence chain for response and reporting.
Outsourcing must not dilute obligations to customers or impede supervision. Hunto AI’s vendor-asset labeling, takedown performance metrics and monthly evidence archives support oversight, audit rights and performance reviews with service providers that host public-facing assets.
CERT-In Directions under the IT Act, 2000 (May 2022)
Report specified cyber incidents within six hours and retain logs in India. Phishing, identity misuse and fake apps fall within reportable classes. Hunto AI’s time-stamped artifacts and case timelines align with reporting and logging needs.
Why this worked for a manufacturing brand
- Compliance and security together
Evidence archives, month-over-month trendlines and vendor visibility map cleanly to RBI expectations while cutting real fraud in the wild. - Speed with proof
Agentic evidence assembly and platform-native submissions improved first-time acceptance and shortened takedown cycles. - One console for lean teams
Detection, takedown, mirror hunts and CX guidance ran in a single workflow without adding headcount.
About Hunto
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. Banks can add Attack Surface Monitoring later to consolidate external hygiene in one platform.