How A Multi-State Scheduled Co-operative Bank protects itself with Hunto AI takedowns.
Industry
Banking
AUM
1,800 Cr+
Product used
Hunto AI Brand Monitoring and Takedown
Employees
200+
About Client
This multi-stage cooperative bank serves retail and MSME customers across multiple branches with deposits, loans and digital services including mobile banking, UPI and internet banking. Its public footprint extends across the main website, product and campaign microsites, WhatsApp and social pages, and third party pages for hiring and vendor outreach. Seasonal campaigns and high intent searches like net banking login and customer care number made the brand a prime target for impersonation and fake support pages.
RBI compliance requirements
Supervisory reviews expected the bank to demonstrate continuous monitoring, prompt incident reporting and effective oversight of vendor managed public assets. Organizing proof across registrars, hosts, social networks, job boards and ad networks was time consuming.
Other Challenges
Impersonation and fraud leakage
Attackers registered look alike domains, created imposter social profiles and pushed counterfeit customer support listings. Common lures included KYC revalidation, settlement or refund confirmation, card block unblock and festival giveaway offers. Users arriving from branded searches were sometimes intercepted by SEO poisoned pages or malicious paid placements.
Fragmented and slow takedowns
Every platform required different proof and a different notice format. Evidence lived in screenshots and emails. Mirrors resurfaced after single link removals, consuming analyst time and delaying customer communications.
Customer support strain and reputation risk
Scam waves triggered spikes in tickets and branch escalations. CX teams needed a single, bank approved script and a public place to point customers to verified channels.
Hunto AI Solution (How We Helped)
Objective:
Detect and remove external impersonation quickly across domains, social, job boards, messaging and ads, then produce evidence that leadership, auditors and partners accept.
Rapid onboarding and pattern seeding
Hunto AI ingested official domains, app IDs and verified handles plus search terms and campaign keywords. We seeded banking specific abuse patterns including KYC revalidation, refund or settlement notifications, UPI and OTP capture, device or card activation and priority support lures.
Always on brand monitoring
Look alike domain hunting with fuzzy and homograph checks, passive DNS and page similarity scans to catch new registrations early
Social, job board and messaging sweeps to find imposter support profiles, fake recruitment and vendor fee frauds
Search and ads watchlists that flag malicious paid placements and SEO traps intercepting branded queries during peak periods
Agentic takedown execution with evidence
Auto assembled case files for each finding that include screenshots, WHOIS and ASN, hosting metadata, timestamped crawls, link graphs and the precise policy citations required by each platform
Platform native notices to registrars, hosts, social networks, app stores, job boards and ad networks to raise first notice acceptance
Post removal re scans that map mirrors and connected infrastructure so clusters come down, not just single URLs
Customer safety and CX enablement
A paste ready Official Channels snippet lists verified URLs, app IDs and social handles and explains how to report suspicious content
Short CX scripts for branches and support reduced handling time and ensured consistent escalation
RBI friendly reporting and governance
Executive dashboard presents detections, median Time to Takedown, first notice acceptance, survival time of scams and a directional proxy for revenue and trust protection
Monthly evidence archive provides a single export of all case files and vendor ownership labels to support third party oversight reviews
Impact
We replaced ad hoc screenshots with a measurable process. Fraud pages come down faster, customers get clear guidance and audit questions are answered with one export.
– Head of IT and Operations, co-operative bank in Maharashtra
Measured outcomes in the first 120 days suitable for publication
Scope and scale
- 173 abusive assets detected across domains, social, job boards and ads
- Approximately 77 percent removed on first notice with most remainder cleared after one 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
Search and ad protection
- Malicious paid placements reported within 2 to 6 hours of first appearance during festival and rate campaigns, reducing diversion from branded queries
Customer support relief
- Noticeable drop in scam related calls after Official Channels and CX scripts went live and faster escalations due to standardized evidence packs
Governance
- Evidence ready, timestamped 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 external monitoring and alerting generate signals that feed the bank’s SOC and cyber crisis management plans.
- Phishing and social engineering readiness. The circular highlights phishing and spear phishing among threats that must be prevented, detected and reported. Brand Monitoring detects real world impersonation and packages the evidence chain for response and reporting.
- Incident reporting and evidence. Banks are required to report unusual cyber incidents promptly in a prescribed format. Hunto AI exports artefacts and timestamps that can be attached to incident logs and reports.
- Stakeholder awareness. The circular expects banks to promote cyber resilience objectives among customers and vendors. Our Official Channels guidance and CX scripts operationalize this in plain language.
Outsourcing of IT Services Directions, April 10, 2023
- Applicability. The Master Direction applies to Primary Urban Co-operative Banks and other regulated entities with effective dates for new and existing arrangements.
- Governance and oversight. Outsourcing must not diminish the bank’s ability to fulfill obligations to customers or impede effective supervision. Hunto AI’s vendor asset labeling, performance metrics and monthly archives support oversight, audit rights and exit discussions with service providers.
Why Hunto AI worked for this bank
Speed with proof
Agentic evidence assembly and platform native submissions improved first time acceptance and reduced removal cycle time.One console for lean teams
Detection, takedown, mirror hunts and CX guidance were coordinated without adding headcount.Compliance and security together
Evidence archives, month over month trendlines and vendor visibility map cleanly to RBI expectations while reducing fraud exposure in the wild.
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 and executes removals with evidence that stands up to scrutiny. Banks can add Attack Surface Monitoring to consolidate external hygiene under one platform when ready.
Note: Client identity and certain metrics are anonymized due to confidentiality commitments.
Protect customers and brand trust while staying audit ready.
Request a no integration Brand Abuse Snapshot and receive an evidence ready takedown pack plus a 30 day suppression plan aligned to RBI expectations.