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Unauthorized tokenization monitoring

What is unauthorized tokenization monitoring?

Unauthorized tokenization monitoring, also called token impersonation monitoring, is finding tokens that claim to represent your stock or fund without your consent.

Issuers, their transfer agents, exchanges and tokenized-stock venues watch for them because a token that uses a security’s name without the issuer’s consent can mislead investors about what they’re buying and who stands behind it.

A US venue trading a third party’s token of your stock has to notify you first, but tokens offered elsewhere come with no notice.

Goldsky reads the name and ticker of every new token, past and future, flags those that contain yours and keeps every launch for your own searches; deciding whether a match is unauthorized, and what to do about it, stays with your legal team.

Who uses unauthorized tokenization monitoring?

Digital transfer agents, tokenization platforms, regulated exchanges and tokenized-stock venues that watch for tokens using an issuer’s name.

How an unauthorized tokenization gets found

The diagram follows one new token from its launch on the chain, or a venue’s notice, to your legal team’s review. Your setup may differ.

Your business, step 1: List names to watchYour names and tickers to look for
Blockchains, step 2: Token launchedA new token contract is deployed
Goldsky, step 3: TurboRead each new tokenName and ticker, for past and new launches
Goldsky, step 4: TurboFlag likely matchesNames or tickers containing yours raise alerts
Goldsky, step 5: TurboKeep every launchAll new tokens, for your own searches
Your business, step 6: Venue notice arrivesA US venue must notify you first
Your business, step 7: Review and respondLegal checks the issuer and decides next steps
  • Goldsky

How to monitor for unauthorized tokenizations

A pipeline Goldsky runs spots every new contract on the chains you choose, reads its name and ticker, and flags those that contain your security’s name or ticker. It covers past launches first, then new ones, and keeps every launch in your warehouse so you can search it later.

What you’ll need

  • Goldsky Turbo
  • A list of your security’s names, tickers and common variants
  • A webhook endpoint or case tool for flagged matches
  • A data warehouse or object storage for the launch record
  • A legal team that reviews matches
  1. List the names and tickers to watch for

    A lookalike token has to be recognized by something, usually a name or ticker close to yours.

    Your team lists the security’s legal and trading names, its tickers and the variants someone might use, such as the ticker with a prefix or suffix. A name and ticker scan is one signal among others, such as listings you see on venues and any notice a venue sends you, and your team decides how much each one counts.

  2. A new token contract is deployed

    Anyone can deploy a token on a public chain and give it any name and ticker they like.

    Deploying a contract is a transaction like any other, and nothing on the chain checks the name against who owns it. The name and ticker sit in the contract’s own storage, so they have to be read from the contract.

  3. Read the name and ticker of each new token

    Handled by Goldsky Turbo

    To compare a new token with your security, you need its name and ticker.

    Every new contract has to be found, past ones as well as new, and asked for its name and ticker. Contracts that aren’t tokens return no name, so they drop out at this step.

    Turbo Pipelines can find contract creations in a chain’s trace data and call each new contract’s name() and symbol() with _gs_eth_call(). A pipeline that starts from the earliest block covers past launches before new ones.

    Read contract metadata in SQL (opens in a new tab)
  4. Flag likely matches

    Handled by Goldsky Turbo

    Your team should see the tokens that might be yours without reading through every launch.

    Each new token’s name and ticker are compared with your list, ignoring case, and a match goes to your team with the contract address, the chain and the deployer. A text match can’t tell an unrelated token with a similar ticker from an imitation, so every match needs a person.

    Goldsky can compare names and tickers with your list in a SQL transform, using functions such as lower() and locate(), and post each match to your endpoint through a webhook sink.

    Set up the webhook sink (opens in a new tab)
  5. Keep every launch for later searches

    Handled by Goldsky Turbo

    A token can start using your name after launch, or you may need to search for a variant you didn’t think of.

    Every new token is stored with its name, ticker, chain, contract and deployer, whether it matched or not. Without that record, each new search means scanning the chains again from the start.

    The same pipeline can write every launch to ClickHouse, or as Parquet files to S3-compatible storage, so your team can search the full record with its own queries.

    See where pipelines can write (opens in a new tab)
  6. Log each notice a venue sends you

    Under the SEC’s exemption for tokenized stocks, a US venue that wants to trade a token of your stock made by someone else must notify you in writing first, and can’t offer it for trading if you object within 30 calendar days of receiving the notice.

    Your legal team or corporate secretary logs each notice, checks the token it describes and decides whether to object before trading starts. Tokens offered outside such venues, such as wrapped tokens traded offshore, need no permission and come with no notice, which is why the scan of new launches runs alongside.

  7. Review the issuer and respond

    Only your team can say whether a token is authorized and what to do about it.

    Your legal team checks who deployed the token, what it claims to represent and where it trades, then decides whether to contact the venue, publish a notice or take further action. Record each decision with the evidence behind it, since you may need to show it later.

What you control

Your team
  • List the names and tickers to watch for
  • Log each notice a venue sends you
  • Review the issuer and respond

Security and deployment

  • SOC 2 Type IIIndependently audited security controls.
  • Dedicated infrastructureSingle-tenant options for production workloads.
  • Data residencyCloud, on-premises or co-located.

Monitor for unauthorized tokenizations with Goldsky

We’ll map it to your systems and show you what Goldsky runs, so your team builds the product, not the pipelines underneath it.

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