How a Fortune 500 Customer in Regulated Industry safeguards its global footprint with Hunto AI Takedowns
Industry
Engineering & R&D services (listed)
Employees
₹10,670 Cr revenue in FY25
Product used
Hunto AI Takedown Service (External Threat Monitoring)
Scale
₹10,670 Cr revenue in FY25
About Client
This is India’s largest pure-play engineering services company, building digital and physical products for Fortune 500 customers across manufacturing, mobility, energy, medical, semiconductors, and telecom. The company operates corporate and country sites, large hiring programs, partner/vendor portals, events and developer content, creating a large, visible public footprint that threat actors routinely abuse to phish candidates, vendors, and even end-customers of the clients. They reported ₹10,000 Cr+ in FY25 revenue and ₹2,800 Cr+ revenue in Q1 FY26.
Challenges faced
High-frequency impersonation across multiple surfaces
Look-alike domains, fake HR and vendor-onboarding pages, counterfeit event microsites, and imposter social handles were used to run recruitment-fee, invoice change, and priority support scams.
Hijacking high-intent brand queries
Malicious search ads and SEO-poisoned pages briefly outranked official links for “careers login,” “vendor registration,” and “helpdesk,” diverting traffic into phishing forms.
Fragmented takedown processes
Every platform demanded different artifacts, phrasing, and policy hooks. Evidence was scattered across screenshots and emails, slowing time-to-takedown and letting mirrors reappear.
Stakeholder impact
Candidates/Vendors: Requests for fees, KYC docs, or bank details caused reputational harm.
HR, Legal, MarCom: Ticket spikes and ad-hoc responses without a single source of truth.
Leadership/Assurance: Board and enterprise customers asked for measurable reduction, median TTD, and audit-ready evidence packs.
Hunto AI Solution
Objective: Suppress external impersonation infrastructure quickly across domains, social, job boards, ads, and messaging—while producing platform-acceptable, audit-grade proof mapped to India’s mandatory cyber requirements.
Rapid onboarding and pattern seeding
We ingested official domains, verified handles, app IDs, hiring geos, vendor/RFP vocabulary, and campaign keywords; then seeded patterns for recruitment-fee, vendor/RFP, invoice-bank-change, event badge/speaker, and executive helpdesk scams.
Always-on external monitoring
- Look-alike domain hunting: Fuzzy + homograph checks, passive DNS, landing-page similarity.
- Social / job-board sweeps: Imposter HR pages, fake listings, fee traps.
- Search & ads watch: Malicious paid placements and SEO traps intercepting branded queries during hiring seasons, results, and events.
- Messaging/link-hub tracking: Link farms and amplification channels feeding campaign waves.
Agentic takedown execution with evidence
- Auto-assembled case files per incident: screenshots, WHOIS/ASN, hosting metadata, timestamped crawls, link graphs, and platform-specific policy citations.
- Platform-native notices to registrars/hosts, social networks, job boards, ad networks, and app stores raised first-notice acceptance.
- Mirror & cluster suppression: Post-removal re-scans mapped connected infrastructure so clusters went down, not just single URLs.
Stakeholder safety and communications
- A paste-ready Official Channels micro-page listed verified URLs, app IDs, and handles plus “how to report” steps.
- Short scripts for HR, Talent Acquisition, Vendor Management, Legal, and Comms standardized verification and escalation.
Reporting & governance
Executive dashboard: detections, median Time-to-Takedown (TTD), first-notice acceptance, scam survival time, and directional revenue/trust-protection proxies tied to hiring and vendor-portal analytics.
Monthly evidence archive: time-stamped case files for internal audit and client security questionnaires, with vendor/partner labeling for public assets.
Impact
“We turned brand abuse from ad-hoc firefighting into an operating metric. Fraud pages disappear faster, stakeholders get clear guidance, and our evidence stands up in audits and client reviews.”
– Head of Corporate Communications & Risk (public name withheld in external materials)
Measured outcomes in the first 120 days suitable for publication
Scale handled: 520+ abusive assets detected across domains, social, job boards, and search ads; ~82% removed on first notice; most of the remainder cleared after a single follow-up.
Velocity gained: Median TTD < 24 hours for registrar/hosting cases; < 12 hours for social/job-board listings post-submission; malicious search ads reported within 2–6 hours during hiring/event spikes.
Stakeholder protection: Visible drop in scam-related complaints from candidates and vendors after Official Channels went live; fewer repeat investigations due to standardized evidence packs.
Assurance enablement: Faster answers to client questionnaires and internal audits via month-end exports; clearer oversight of vendor-managed public assets.
How Hunto AI Helps With Mandatory Indian Cyber Expectations
CERT-In Directions (No. 20(3)/2022) under IT Act s.70B
Six-hour incident reporting: CERT-In mandates reporting specified cyber incidents within six hours of noticing/being notified. Brand-abuse detections (e.g., phishing, fake apps, identity theft, website defacement) fall in the reportable classes; Hunto AI packages the artifacts and timestamps needed to file and update reports.
Log retention & time sync: The CERT-IN Directions require 180-day ICT log retention in India and NTP synchronization to approved sources; Hunto AI’s evidence packs and case timelines align with incident logging and response workflows that support these obligations.
Digital Personal Data Protection Act, 2023 (DPDP Act)
The DPDP Act requires reasonable security safeguards for personal data and breach notification to the Data Protection Board and affected individuals as prescribed. By suppressing impersonation sites and fake apps early, and documenting actions. Hunto AI reduces breach likelihood and supports demonstrable due diligence for DPDP obligations.
Listed-entity and client-assurance context
As a listed company, the client operates under SEBI’s disclosure and risk-management regime and serves heavily regulated clients. Hunto AI’s audit-ready records and suppression metrics help them respond to customer due-diligence and sectoral cyber-resilience checks among regulated buyers (banks, payments, healthcare, energy), and dovetail with SEBI’s broader cyber-resilience approach for regulated entities in capital markets.
Why Hunto AI worked for a complex, global engineering brand
Breadth with proof
One console covered domains, social, job boards, ads, and messaging—each takedown shipped with the exact artifacts platforms expect, lifting acceptance and shrinking cycle time.Lean-team friendly
Automation handled discovery, evidence assembly, submissions, and mirror hunts; business teams reused consistent scripts and Official Channels content across .com, country, and recruiting assets.Compliance and security together
Evidence archives, trendlines, and third-party labeling map cleanly to CERT-In expectations and DPDP due-diligence, while visibly cutting fraud in the wild.
About Hunto AI
Hunto AI quantifies external cyber and brand risk and resolves it automatically. Our Takedown Service removes impersonation infrastructure with one-click, evidence-rich notices. Adjacent modules include Brand Monitoring at scale and Attack Surface Monitoring, creating a closed loop from signal → fix → proof.
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.