Know Your Transaction (KYT)

What Is Know Your Transaction (KYT)?

Know Your Transaction (KYT) is the process of monitoring, analyzing, and evaluating cryptocurrency transactions to detect suspicious activity and ensure compliance with anti-money laundering, sanctions, and counter-terrorism financing requirements. While KYC (Know Your Customer) verifies who a user is at onboarding, KYT answers a different question: where did these funds come from, and where are they going?

The term was popularized by Chainalysis, which named its flagship transaction monitoring product "KYT." The concept mirrors traditional finance's ongoing transaction surveillance but is adapted for blockchain's pseudonymous, transparent architecture. Because public blockchains record every transfer permanently, KYT systems can trace fund flows across thousands of addresses and multiple hops in ways that traditional bank monitoring cannot.

KYT is not a one-time check. It runs continuously, evaluating every incoming and outgoing transaction against sanctions lists, known illicit addresses, and behavioral patterns. A customer who passes every identity check at onboarding can still receive funds from a sanctioned entity on day thirty. Neither KYC nor KYT alone is sufficient: compliant operations require both.

How It Works

KYT systems operate across several layers, combining real-time screening with deeper analytical techniques to produce actionable risk assessments.

Sanctions Screening

Every transaction is screened against OFAC's Specially Designated Nationals (SDN) list, UN sanctions lists, and EU sanctions lists. Alerts fire within seconds of a transaction appearing on-chain. Direct matches (transactions involving a sanctioned address) trigger immediate blocks. Indirect connections, where funds have passed through a sanctioned address several hops back, trigger manual review.

Risk Scoring

KYT providers assign each transaction a risk score, typically on a 0 to 100 scale:

Scores incorporate both direct exposure (the wallet transacted directly with a known bad actor) and indirect exposure (funds are connected through intermediary hops, typically analyzing two to five degrees of separation). Indirect exposure uses decay: direct receipt from a sanctioned address is a near-certain compliance event, while exposure three hops back through a mixing service is a risk signal requiring investigation rather than automatic blocking.

Transaction Graph Analysis

KYT systems build transaction graphs that map fund flows between addresses. They use wallet clustering to group thousands of addresses belonging to a single entity. For UTXO-based chains like Bitcoin, the common-input-ownership heuristic is the most powerful clustering tool: all input addresses in a single transaction are assumed to belong to the same entity, since spending them requires all corresponding private keys.

For account-model chains like Ethereum, analysts rely more on temporal analysis, gas payment patterns, and contract interaction patterns because there is no inherent input-output linking within a single transaction. Privacy techniques like CoinJoin deliberately break clustering heuristics by combining inputs from multiple users.

Pattern Detection

Beyond sanctions screening, KYT systems detect money laundering typologies:

• Structuring: breaking large amounts into smaller transactions below reporting thresholds
• Layering: rapid movement of funds through multiple wallets to obscure origin
• Peel chains: serial transactions that peel off small amounts from a large balance, forwarding the remainder to a new address each time
• Mixer and tumbler usage: interaction with services designed to break the link between sender and receiver
• Cross-chain bridge hopping: moving funds across multiple blockchains to evade single-chain monitoring
• Rapid consolidation-dispersal: aggregating funds from many wallets and immediately redistributing them

Modern scoring engines use ensemble machine learning architectures combining linear regression for baseline sanctions matching, random forest classifiers for behavioral features, and gradient boosting for complex laundering patterns. Leading providers report sub-500 millisecond execution times with false positive rates below 0.5%.

Major KYT Providers

The blockchain analytics market is estimated at $2.5 billion in 2025, projected to reach $9.9 billion by 2032. Four providers dominate the chain analysis space:

Chainalysis holds approximately 45% market share among law enforcement users and generated $250 million in revenue in 2024. TRM Labs reached unicorn status ($1 billion valuation) in February 2026, while Elliptic raised $120 million in May 2026 at a $670 million valuation. These fundraising rounds reflect growing demand driven by regulatory mandates.

Regulatory Context

The GENIUS Act

The GENIUS Act, enacted in July 2025 as the first federal stablecoin law, treats permitted payment stablecoin issuers (PPSIs) as "financial institutions" under the Bank Secrecy Act. This requires issuers to maintain AML programs with designated compliance officers, file suspicious activity reports, implement customer identification programs, and maintain technical capability to block, freeze, and reject illicit transactions. While the Act does not use the term "KYT" explicitly, it effectively mandates the same capabilities.

FinCEN and FATF Requirements

Under BSA rules, money services businesses operating in crypto must implement transaction monitoring programs, file SARs for transactions over $2,000 showing suspicious patterns, and file currency transaction reports for transactions over $10,000. The FATF's Travel Rule (Recommendation 15) requires virtual asset service providers to collect and transmit originator and beneficiary information for transfers at or above $1,000, forcing real-time assessment of counterparty risk.

Enforcement is intensifying. In the first half of 2025, regulators issued 139 fines totaling $1.23 billion for AML, KYC, and sanctions violations, a 417% increase over the same period in 2024. OKX paid $504 million to the DOJ in February 2025 for AML failures.

Use Cases

Stablecoin Compliance

Stablecoin issuers are among the most active KYT users. Circle screens all USDC activity against OFAC lists using multiple analytics providers and can freeze tokens at specific addresses. Tether blacklisted 4,163 addresses in 2025, freezing $1.26 billion across Ethereum and TRON. In July 2026, Tether froze USDT in 131 TRON wallets linked to ISIS-K following OFAC sanctions updates. For a deeper look at how stablecoin blacklisting and sanctions mechanics work, see the full research article.

Exchange Compliance

Cryptocurrency exchanges use KYT to screen deposits and withdrawals in real time. When a user deposits funds that trace to a sanctioned address or darknet marketplace, the exchange can flag the deposit for review, request additional documentation, or freeze the account pending investigation. Exchanges also use KYT to monitor withdrawal destinations and detect patterns consistent with laundering, such as rapid withdrawal to freshly generated addresses.

Law Enforcement Investigations

Government agencies use KYT tools (primarily Chainalysis Reactor and TRM Labs) to trace illicit fund flows during criminal investigations. Notable cases include the Colonial Pipeline ransomware recovery and Hamas bitcoin donation tracing. TRM Labs holds FedRAMP High authorization for classified federal deployments.

DeFi and Payment Protocols

Decentralized protocols and payment networks increasingly integrate KYT at their edges. Layer-2 networks and payment infrastructure providers can use KYT screening to satisfy regulatory requirements while preserving the speed and low cost of on-chain settlement. For platforms building on Bitcoin's layer-2 ecosystem, KYT integration at the on-ramp and off-ramp level enables compliance without compromising the self-custodial properties of the underlying protocol.

Taint Analysis Methods

How KYT systems determine whether specific funds are "clean" or "dirty" depends on the taint analysis methodology:

• Poison methodology: any funds that have touched an illicit address are considered fully tainted, regardless of subsequent mixing. This is a binary classification.
• Haircut (proportional) methodology: taint is proportional. If 10% of a wallet's incoming funds trace to illicit sources, only 10% of outgoing funds carry the taint. More nuanced but more complex.
• FIFO/LIFO methods: apply first-in-first-out or last-in-first-out ordering to determine which specific funds are tainted when a wallet receives both clean and dirty inputs.

The choice of methodology significantly affects outcomes. Poison tainting can flag innocent users who unknowingly received funds with distant illicit history. Proportional methods are more forgiving but require more sophisticated tracing infrastructure.

The Privacy Debate

KYT's reliance on public blockchain transparency raises significant privacy concerns. Every transaction on a public blockchain is visible to analytics firms, meaning ordinary users, NGOs, defense suppliers, and dissidents are all subject to monitoring. Privacy advocates argue this creates a financial surveillance system more invasive than traditional banking, where transaction details are at least shielded from public view.

Innocent users can be caught in KYT's net. Buying cryptocurrency over the counter from someone who previously used a mixer, receiving payment from a customer with tainted history, or depositing into a smart contract that also holds illicit funds: all of these can trigger risk alerts or account freezes. In June 2026, Circle froze $12.6 million in USDC in response to a court order, but the freeze also affected unrelated users whose funds were commingled in the same smart contract.

The Tornado Cash case illustrates the tension. In August 2022, OFAC sanctioned the Ethereum privacy mixer, marking the first time the US sanctioned open-source smart contract code. In November 2024, the Fifth Circuit ruled OFAC exceeded its authority. Treasury lifted the sanctions in March 2025. Post-reversal, mixer usage remains a risk signal in KYT scoring but is no longer an automatic compliance event. For more on how blockchain privacy and surveillance intersect, see the Bitcoin privacy landscape research.

Risks and Limitations

False Positives

KYT systems can flag legitimate users whose funds have indirect connections to illicit activity. Even advanced systems with AI-enhanced scoring produce false positives that require human triage. A flagged transaction can result in frozen accounts, delayed withdrawals, or forced re-verification, all of which erode user trust and create friction.

Coverage Gaps

Privacy coins like Monero and Zcash (shielded transactions) resist deterministic tracing. All major KYT platforms offer only heuristic analysis for these assets. Cross-chain bridge tracing remains partial, and complex DeFi protocol interactions involving nested or composable contracts are difficult to trace accurately. No single platform covers every investigation type adequately.

Centralization of Compliance Power

The concentration of KYT capabilities in a handful of private companies raises governance questions. These firms effectively decide which addresses are "risky," influencing which users can access financial services. Their attribution databases are proprietary, making independent verification difficult. Errors in attribution can cascade across the industry when multiple exchanges rely on the same provider.

Regulatory Fragmentation

Different jurisdictions apply different standards for what constitutes suspicious activity and what level of sanctions screening is required. A transaction flagged as high-risk under US OFAC rules may be treated differently under EU MiCA or Asian regulatory frameworks, creating compliance complexity for global operators.

This glossary entry is for informational purposes only and does not constitute financial or investment advice. Always do your own research before using any protocol or technology.