How India’s leading natural resources firm protects its brand with Hunto AI
Industry
Metals, Mining & Energy
Employees
65k+ (direct & indirect ecosystem)
Solutions used
Brand Monitoring & Takedown Service
Location
Corporate sites, investor portals, careers, sustainability & CSR microsites
About Vedanta International
This leading diversified natural-resources enterprise operates across metals, mining, and energy, spanning upstream extraction to downstream processing and logistics. With a nationally recognized brand, frequent media coverage, and active stakeholder communications (investors, vendors, communities, job-seekers), the company maintains a broad public digital footprint: corporate domains, project microsites, investor-relations portals, sustainability reports, and talent-acquisition campaigns.
High visibility and a large third-party ecosystem make it a prime target for brand impersonation, fake recruitment campaigns, and donation/CSR-themed scams, threats that cost revenue, erode trust, and increase support and legal overheads.
Why does this matters for cybersecurity:
PPI & cross-border FX workflows depend on third-party rails, issuer/acquirer integrations, cloud vendors, agents and franchise networks, expanding the external attack surface and brand-impersonation risks across web, mobile, social and domain infrastructure.
Problem Statement and Challenges Faced
As market attention intensified around earnings cycles, project announcements, and CSR updates, the security and corporate-affairs teams faced a sharp rise in external brand abuse:
Fake hiring & vendor scams: Look-alike domains and social profiles posing as recruiters or procurement officers to solicit fees, documents, or bank details from job-seekers and vendors.
CSR & donation fraud: Fraud pages claiming to represent foundation/CSR arms, requesting UPI/QR donations during disaster relief windows.
Search & social manipulation: SEO-poisoned pages and boosted posts outranking official pages for branded queries like “careers,” “vendor registration,” or “tender,” diverting users to phishing forms.
Fragmented takedown workflows: Every platform (registrars, hosts, social networks, job boards, ad networks) demanded different evidence formats, contacts, and legal hooks—creating long cycle times and a backlog.
Stakeholder impact: Investor relations, HR, and CSR teams suffered ticket spikes and reputational strain; legal needed evidence-ready dossiers for notices and filings.
Leadership reporting: Communications/Risk required quantified exposure, takedown velocity, and trendlines to brief the board—without expanding the team.
Business risk if unaddressed: Loss of brand trust with communities and investors, candidate/vendor harm, higher legal and support costs, and reputational volatility during news-heavy periods.
Hunto AI Solution
Objective: Detect and remove impersonation infrastructure quickly—across domains, social, job boards, messaging, and ads—while producing proof acceptable to platforms, courts, and leadership.
What we deployed for Vedanta
Rapid Onboarding
- Asset hotlist: Official domains, career portals, investor pages, CSR properties, and verified social handles.
- Abuse patterns: Playbooks for recruitment fee scams, vendor/tender fraud, CSR donation lures, and brand hijacks during earnings/press cycles.
- Authority & policy map: Platform-specific notice templates referencing applicable policies and local legal grounds.
24/7 Brand Monitoring
Look-alike domain hunting: Fuzzy matching, IDN homographs, and passive DNS to flag suspicious registrations in near real-time.
Social & job-board sweeps: Detection of imposter HR profiles, fake listings, and page-level misuse of name, logo, and disclosures.
Search & ads watch: Alerts for malicious paid placements and SEO-poisoned landing pages intercepting branded queries.
Messaging & link farms: Signal collection from message-sharing platforms and link hubs that amplify recruitment/CSR scams.
Agentic Takedown Execution
- Evidence packs (one-click): Screenshots, WHOIS/ASN data, hosting and registrar metadata, timestamped crawls, and policy-line citations auto-assembled by Hunto AI.
- Platform-native notices: Registrar/host, social network, job board, and ad network pre-formatted submissions with all required exhibits.
- Mirror & cluster suppression: Post-takedown re-scan to map connected infrastructure (tracking kits, link hubs, and clone pages) to prevent whack-a-mole recurrence.
Stakeholder Safety & Communications
Official-channel banner & microsnippet: Paste-ready copy for careers, vendor, and CSR pages clarifying verified handles/URLs and how to report fakes.
CX & HR scripts: Short responses for support, HR, and site admins to triage and escalate impersonation reports consistently.
Reporting & Governance
- Executive dashboard: Detections, Median Time-to-Takedown (TTD), removal rates by platform, near-miss analytics, and revenue/reputation-risk proxy.
- Board & legal packs: Monthly evidence archives suitable for legal follow-ups and leadership briefings.
Impact
Why this maps cleanly to RBI/SEBI expectations
“We shifted from chasing screenshots to a measurable, repeatable process. Hunto AI made takedowns faster and gave our teams a shared view of risk and action.”
— Head of Corporate Affairs & Cyber Risk, leading diversified natural-resources company (name withheld)
Results in the first 90 days (figures adapted for public sharing):
Scale: 250+ abusive assets detected (look-alike domains, social/job-board profiles, fake CSR pages).
Velocity: Median TTD < 24 hours for domains/hosts; < 12 hours for social/job-board listings after evidence submission.
First-notice success: ~75% removals on first submission; most remaining cleared after one follow-up.
Ticket relief: Standardized CX/HR scripts + “official channel” guidance correlated with a drop in scam-related inquiries during hiring and CSR peaks.
Brand protection proxy: Directional reduction in candidate/vendor harm and improved trust signals during results/press cycles.
Why Hunto AI worked here
- Multisurface coverage: Domains, social, job boards, messaging, and ads—one console, one evidence model.
- Agentic proof generation: Platform-specific notices with the right artifacts the first time, accelerating acceptance.
- Closed-loop operations: From detection → takedown → mirror hunt → stakeholder messaging → board reporting—no extra headcount required.
About Hunto AI
Hunto AI quantifies external cyber and brand risk—and resolves it automatically. Our Brand Monitoring & Takedown module pairs real-world detection with one-click, evidence-rich removals. Adjacent modules include Attack Surface Monitoring (shadow assets, misconfigurations) and Human Risk (phishing simulations)—a unified stack from signal → fix → proof for communications-heavy enterprises.
Note: Client identity and certain metrics are anonymized due to confidentiality commitments.
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