How one of India’s largest IT services firms safeguards its global footprint with Hunto AI Takedowns
Industry
Payments and POS
Employees
300+
Product used
Hunto AI Brand Monitoring and Takedown
Operations
India, omni-channel merchant acceptance
About Client
Ezetap is a pioneer of mobile point-of-sale and in-person acceptance in India. Its Universal Payments platform enables businesses to accept cards, UPI, wallets, and other methods across a range of smart POS devices and software. The company serves enterprises and government programs where physical and digital payments converge at scale. After the 2022 acquisition it became Razorpay POS, extending an online payments leader into offline acceptance.
Challenges faced
The brand’s visibility across merchant onboarding, device logistics, field support, and partner channels created a large external footprint that attackers could imitate.
Impersonation risk
Look-alike domains, fake support handles, and counterfeit app listings targeted merchants with refund promises, onboarding fee scams, and settlement update lures.Search and social abuse
Malicious ads and SEO-poisoned pages intermittently out-ranked official links for terms like POS machine, settlement help, and device activation.Manual takedown drag
Registrars, hosts, social networks, app stores, and ad networks required different evidence formats and policy hooks. Time to takedown varied widely.Merchant support load
Every scam wave triggered spikes in tickets and escalations with limited reuse of prior case materials.Leadership and partner proof
Risk, legal, and partnership teams needed quantified exposure, takedown velocity, and evidence archives that could be shared with banks and large merchants.
Hunto AI Solution
Objective: reduce brand abuse quickly across domains, social, app stores, ads, and messaging while producing evidence credible for platforms, bank partners, and leadership.
Rapid onboarding
We ingested official domains and handles, payment keywords, device and settlement vocabulary, and support phrases. We configured abuse heuristics for onboarding fee scams, refund confirmation traps, and device activation lures.
Always-on brand monitoring
Agents continuously searched for homograph domains, cloned store listings, imposter support profiles, job and partner listing misuse, and SEO or paid placements that hijacked branded queries.
Agentic takedown execution
For each incident, Hunto AI auto-assembled screenshots, passive DNS history, WHOIS and hosting metadata, crawl timelines, and platform policy citations. Submissions were generated in platform-native formats for registrars, hosts, social platforms, app stores, and ad networks. Post-removal re-scans mapped mirrors and related infrastructure to suppress clusters, not just single URLs.
Merchant safety and CX enablement
We shipped paste-ready official channel guidance and short scripts for support teams. This included a verification checklist for merchants and a micro page listing verified URLs, app IDs, and handles.
Reporting and governance
Leadership dashboards tracked detections, median time to takedown, first-notice acceptance rates, and a revenue protection proxy aligned to paid and organic traffic during campaigns. Monthly evidence archives were packaged for bank partner reviews and merchant assurance requests.
Impact
“We stopped chasing screenshots and started closing cases with proof. Takedowns became faster, repeatable, and defensible to partners.”
– Head of Risk and Brand Protection, Ezetap Mobile Solutions Pvt. Ltd. (attribution available on file)
Outcomes in the first 90 days
Median time to takedown under 24 hours for domains and hosts and under 12 hours for social and app store listings after evidence submission
More than 70 percent first-notice acceptance with most remainder cleared after a single follow-up
Reduction in scam-related support tickets during settlement and device activation peaks after official channel guidance deployment
Directional improvement in protected campaign traffic with fewer diversions from malicious search ads and SEO traps
Why Hunto AI worked for this bank
- Multisurface coverage with one evidence model and one console
- Platform-native submissions with the right artifacts the first time
- Closed loop from signal to takedown to mirror hunt to CX guidance to executive reporting without adding headcount
- Multisurface coverage with one evidence model and one console
- Platform-native submissions with the right artifacts the first time
- Closed loop from signal to takedown to mirror hunt to CX guidance to executive reporting without adding headcount
About Hunto AI
Hunto AI quantifies external cyber and brand risk and resolves it automatically. The Brand Monitoring and Takedown module pairs real-world detection with one-click, evidence-rich removals. Adjacent modules include Attack Surface Monitoring and Human Risk phishing simulations for a unified signal to fix to proof workflow.
Note: 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.