Building the trust layer for internet commerce.
LANTIRN is a merchant relationship intelligence platform. We exist because the internet's commerce trust signals are breaking down — and nobody is looking at the merchant ecosystem itself.
Internet commerce trust is breaking down.
Payment companies, marketplaces, banks, and fraud teams increasingly struggle to determine whether merchants are legitimate, connected to fraud ecosystems, laundering transactions, operating counterfeit storefronts, or using compromised checkout infrastructure.
Current systems focus mostly on transactions after fraud occurs. Very few systems understand the merchant ecosystem itself — the relationships between storefronts, JavaScript, checkout behavior, analytics IDs, infrastructure, fulfillment patterns, and operational reuse.
$48B+
Annual merchant fraud losses
Industry estimate
20%+
YoY growth in synthetic merchant fronts
Internal observation
1 in 6
Storefronts share infrastructure with another store
LANTIRN graph estimate
The merchant side is moving faster than the rules.
AI-generated storefronts, transaction laundering, counterfeit ecosystems, dropshipping abuse, checkout skimming, and large-scale merchant fraud are all growing at once — and modern fraud operations increasingly reuse the same JavaScript, templates, fulfillment tooling, and checkout infrastructure across large clusters.
AI-generated storefronts
Spinning up a believable shop is now a prompt. Volume of synthetic merchants is exploding faster than humans can review them.
Transaction laundering
High-risk operators stand up clean-looking fronts to push prohibited volume through legitimate processors.
Dropshipping & counterfeit abuse
Identical storefronts, identical templates, identical fulfillment — networks that today live entirely outside any trust signal.
Checkout JavaScript skimming
Magecart-style attacks have moved upstream into shared script kits and SaaS analytics tools used by thousands of stores.
A continuously evolving merchant relationship graph.
Every merchant scan, customer outcome, storefront fingerprint, and fraud investigation strengthens the network. The longer LANTIRN runs, the harder the moat is to replicate.
Historical merchant relationship graph
Every scan, customer outcome, and investigation deepens the graph. The longer LANTIRN runs, the harder it is to replicate.
Checkout behavior intelligence
A continuously growing library of how legitimate vs. abusive checkouts actually behave at runtime.
JavaScript reputation graph
Every script we've ever seen, where it's been deployed, and what behavior it triggers — labelled and tracked over time.
Storefront fingerprint corpus
Templates, products, policies, and themes — the most comprehensive corpus of merchant operational artifacts.
Fraud-cluster learning loop
Confirmed fraud cases feed back into the graph and improve scoring across every customer's portfolio.
Community intelligence network
Public Community Search funnels signals from researchers worldwide directly into the platform.
From offensive security to commerce trust.
The founder has deep experience in offensive security, fraud intelligence, attacker engineering, merchant abuse analysis, graph-based investigations, detection engineering, and large-scale security telemetry. The idea for LANTIRN comes directly from observing how fraud ecosystems reuse infrastructure across commerce.
- Offensive Security
- Fraud Intelligence
- Detection Engineering
- Graph Investigations
Founder photo
Square or 4:5 portrait
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The system companies use to know who's behind a storefront.
LANTIRN aims to become the trust layer for internet commerce — the system companies use to understand who is behind a storefront before transactions, fraud losses, or ecosystem abuse occur. Long term, LANTIRN can power merchant onboarding, transaction enrichment, browser trust signals, marketplace safety, merchant reputation APIs, and commerce intelligence infrastructure globally.
Trust layer architecture
Wide diagram showing LANTIRN as the trust layer between merchants and the commerce stack
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Help build the trust layer for internet commerce.
We're hiring early engineers, fraud researchers, and design partners. If you've stared at storefronts, JavaScript, or chargeback graphs for a living — let's talk.