Address clustering is a blockchain analysis technique used to group multiple wallet addresses that are likely controlled by the same user or entity based on transaction behavior.
An algorithmic stablecoin maintains its price stability through automated supply adjustments rather than backing by reserves of fiat currency or other assets.
Anti-Money Laundering (AML) refers to regulatory frameworks and procedures designed to prevent the use of financial systems for illicit activities such as money laundering or terrorist financing.
Behavioral risk signals are patterns in blockchain activity that may indicate suspicious or high-risk behavior. These signals can include unusual transaction patterns, rapid fund movements across multiple addresses, interactions with known illicit services, or coordinated activity across wallets.
A blockchain is a distributed digital ledger that records transactions across a network of computers, ensuring transparency, immutability, and shared verification.
Blockchain forensics is the practice of analyzing blockchain transaction data to trace funds, identify suspicious activity, and investigate potential financial crimes.
A centralized exchange is a platform that facilitates the trading of digital assets and is operated by a centralized entity that manages custody, order books, and transactions.
Cross-chain risk refers to potential threats or vulnerabilities that arise when digital assets move between different blockchain networks. These risks may include bridge exploits, liquidity fragmentation, asset wrapping risks, and difficulty tracking the origin or destination of funds across multiple chains.
A custodial wallet is a wallet where a third party, such as an exchange or financial institution, controls the private keys and manages assets on behalf of users.
Decentralized finance (DeFi) refers to financial services built on blockchain networks that operate without centralized intermediaries such as banks or brokers.
A digital asset is any asset issued and stored digitally on a blockchain or distributed ledger, including cryptocurrencies, tokens, and tokenized financial instruments.
Liquidity risk monitoring is the ongoing analysis of the availability and stability of liquidity for a digital asset across trading venues, pools, and markets. Monitoring liquidity helps identify conditions such as sudden liquidity withdrawals, concentration risks, or abnormal trading activity that may impact price stability.
Maximal Extractable Value (MEV) refers to profits that block producers can generate by reordering, inserting, or censoring transactions before they are finalized on the blockchain.
Proof of Stake is a consensus mechanism where validators secure the network by locking tokens as collateral and participating in transaction validation.
Risk intelligence refers to the collection, analysis, and interpretation of blockchain data to identify potential security, financial, or compliance risks associated with digital assets, transactions, smart contracts, or wallet activity.
Stablecoin depeg risk refers to the possibility that a stablecoin loses its intended price stability relative to its reference asset, typically a fiat currency such as the US dollar. Depegs may occur due to liquidity shocks, reserve concerns, market stress, or structural vulnerabilities in the asset’s design.
Token risk analysis is the evaluation of a digital asset’s technical, financial, and behavioral characteristics to identify potential risks. This may include analysis of smart contract code, liquidity conditions, holder concentration, governance controls, and transaction activity.
Transaction simulation is the process of analyzing a blockchain transaction before it is executed to predict its outcome. Simulation can reveal potential risks such as malicious contract behavior, unexpected token transfers, excessive fees, or failed transactions.
Wallet screening is the process of evaluating a blockchain address to determine whether it may be associated with illicit activity, sanctioned entities, fraud, or other high-risk behavior based on transaction history and known risk indicators.