Transaction Analysts India Pvt. Ltd. × Hunto AI
How Transaction Analyst safeguards its brand with Hunto AI Takedowns
Industry
Payments (PPI issuer, UPI solutions)
Size
100+ employees, ₹25 Cr+ revenue
Product used
Hunto AI Brand Monitoring & Takedown
Location
Delivery centers across India, North America, Europe
About Client
ransaction Analysts (TA) provides digital payment solutions including wallet issuance, UPI capabilities, payment collection and related services. As an RBI-authorised PPI issuer, TA operates consumer-facing apps and portals where trust, brand integrity and fraud suppression directly impact conversion, retention and compliance posture. TA’s public footprint spans marketing sites, support pages, wallet/UPI app listings, social channels and developer or merchant resources.
Challenges Faced
Evidence for compliance and partner assurance
As a regulated PPI issuer, TA needed a repeatable, auditable process to detect, action and document external brand abuse. Leadership, auditors and partners expected measurable reduction, time-to-takedown metrics and evidence packs that map to RBI expectations for continuous surveillance, incident handling and third-party oversight.
Brand impersonation targeting PPI and UPI users
Fraudsters stood up look-alike domains, spoofed social handles and counterfeit app store pages to phish credentials, KYC data and one-time passwords. Scam pages used phrases like wallet upgrade, KYC revalidation, refund verification and UPI security to harvest sensitive information.
Hijacking branded search and social
Malicious paid ads and SEO-poisoned landing pages intermittently outranked TA’s official results for queries such as wallet login, customer care and KYC update, diverting users into phishing funnels.
Fragmented takedown workflows and long cycle times
Each registrar, hosting provider, social network, app store and ad network required different evidence artifacts and policy hooks. Manual case-by-case submissions delayed removals and allowed mirrored infrastructure to reappear.
Hunto AI Solution
Objective: Detect and remove impersonation infrastructure across domains, social, app stores, ads and messaging, while producing audit-grade, RBI-aligned evidence without adding headcount.
Always-on brand monitoring
- Look-alike domain hunting: Fuzzy matching and IDN-homograph detection with passive DNS to flag suspicious registrations quickly.
- Social and store sweeps: Detection of imposter support profiles, clone apps and pages misusing brand name/logo or claiming affiliation.
- Search and ads watch: Alerts for malicious paid placements and SEO traps intercepting branded queries during high-traffic windows and release cycles.
Agentic takedown execution with evidence
- Auto-assembled evidence packs per incident: screenshots, WHOIS/ASN and hosting metadata, timestamped crawls, link graphs and precise platform-policy citations.
- Platform-native notices to registrars/hosts, social networks, app stores and ad networks raised first-notice acceptance.
- Mirror and cluster suppression: Post-removal re-scans mapped connected infrastructure to prevent whack-a-mole recurrence.
Customer safety and CX enablement
- A paste-ready Official Channels microsnippet listing verified URLs, app IDs and handles, plus a “how to report” flow, was shipped for website/app use.
- Short support scripts for CX teams standardized verification guidance and escalations, reducing handle time and repeat investigations.
Reporting and governance
- Executive dashboard: detections, median Time-to-Takedown (TTD), first-notice acceptance, survival time of scams and a directional revenue/trust-protection proxy aligned to campaign analytics.
- Monthly evidence archive: all takedown case files and vendor/partner labeling packaged for internal audit and supervisory interactions.
Impact
“We moved from ad-hoc removals to a measurable, repeatable program. Fraud pages come down faster, customers get clear guidance and our audit responses are faster with standard evidence.”
— Head of Risk & Compliance, Transaction Analysts (public attribution approved)
Measured outcomes in the first 120 days suitable for publication
- Scale: 214 abusive assets detected across domains, social, app stores and ads; ~79% removed on first notice; most of the remainder cleared after one follow-up.
Velocity: Median TTD < 24 hours for registrar/hosting cases; < 12 hours for social and app-store listings after evidence submission.
Search protection: Malicious paid placements reported within 2–6 hours of first appearance during campaign pushes, reducing diversion from branded keywords.
CX relief: After deploying Official Channels guidance and scripts, scam-related tickets dropped visibly during KYC and feature-release cycles.
Governance: Evidence-ready, time-stamped takedown files shortened responses to partner due-diligence questionnaires and internal audit asks.
How Hunto AI maps to RBI expectations
Cyber Security Framework in Banks (June 2, 2016)
- Continuous surveillance/SOC: 24×7 external monitoring and alerts feed internal incident management and SOC processes expected by RBI.
- Phishing/social-engineering readiness: The framework highlights phishing as a key threat class; Brand Monitoring detects real-world campaigns and packages the evidence chain for response and reporting.
- Incident reporting & evidence: RBI prescribes prompt reporting of unusual cyber incidents and provides annex formats for incident information; Hunto AI exports artifact-rich, time-stamped case files that attach cleanly to incident records.
RBI Outsourcing of IT Services Directions, 2023
Vendor governance and oversight: The Directions emphasise that outsourcing must not diminish obligations to customers or impede supervision. Hunto AI’s vendor/partner labeling, performance metrics and monthly archives support oversight, audit rights and exit discussions with service providers that host public-facing assets.
PPI Authorisation context
RBI clarifies that PPIs may be issued by banks and authorised non-banks; TA publicly states its RBI authorisation status and operates wallet/UPI solutions. Hunto AI’s outputs help PPI issuers demonstrate proactive monitoring and response for customer-facing attack surfaces. Reserve Bank of India+1
Why Hunto AI worked for this bank
Speed with proof
Agentic evidence assembly and platform-native notices increased first-time acceptance and shortened removal cycles, which is critical when phishing kits weaponise brand and payment flows.Built for lean teams
Detection, takedown, mirror hunts and CX guidance operated in one console, reducing manual loops and enabling quick coordination with marketing and support.Compliance and security together
Evidence archives, trendlines and third-party labeling map cleanly to RBI expectations, while suppressing fraud in the wild for wallet and UPI users.
About Hunto AI
Hunto AI quantifies external cyber and brand risk and resolves it automatically. Brand Monitoring & Takedown detects impersonation across domains, social, app stores, ads and messaging, then executes removals with evidence that stands up to scrutiny. Organisations can add Attack Surface Monitoring later to consolidate external hygiene in one platform.