KYA Fraud Prevention for AI Agent Transactions
TL;DR
- We define Know Your Agent as the verification of an autonomous agent’s identity, its connection to a responsible person or business, and its authority to perform a specific task or transaction.
- KYA reduces fraud by checking agent identity and permitted behavior before authorizing an agent-initiated transaction.
- A KYA control model combines portable identity, scoped authorization, behavioral monitoring, transaction risk checks, revocation, and an audit trail.
- KYA complements rather than replaces OAuth, API keys, workload identity, and KYC. OAuth and API keys grant access, workload identity authenticates services, and KYC verifies people or businesses. KYA adds agent-specific identity and transaction-level authority.
What Know Your Agent means and why agents need a new control
Know Your Agent is a control model for verifying an autonomous agent and binding it to the human or business that delegated its authority. KYA also lets a verifier decide whether that agent may perform a specific action under current behavioral and transaction policies. At Skyfire, we implement this model through a portable KYA token and Agentic Wallet that connect agent identity with payment authorization.
Autonomous agents require controls beyond human-centric authentication because they can choose tools and actions during execution. Human MFA assumes a person can approve a login or challenge. API keys and workload credentials can authenticate software, but the authenticated credential may carry broader authority than the agent needs for its current task. OAuth can limit delegated access, but OAuth alone does not establish that an autonomous agent remains authorized for a particular purchase or other consequential action. KYA complements these mechanisms with agent-specific identity, behavioral authorization, and transaction context.
The confused-deputy problem shows why authentication alone cannot answer whether an action is authorized. Norm Hardy introduced the model in 1988 to describe software that misuses its legitimate authority after another party influences its actions, as summarized by the Cloud Security Alliance. In an agent workflow, a user or malicious input can direct an agent that runs with a more privileged credential. The downstream service authenticates the credential without seeing the limited authority of the originating request. Obsidian Security describes this pattern as an agent invoking downstream systems under an administrator’s credentials even when the requesting user lacks administrator rights.
A documented Cline coding-assistant compromise illustrates the transaction risk. The Cloud Security Alliance reports that a crafted GitHub issue title instructed an authenticated coding session to install an attacker-controlled package. The package then reached approximately 4,000 developer machines through an official update. Authentication succeeded throughout the chain, but the agent lacked an action-specific control that could reject the package installation or distribution.
KYC and KYA verify different subjects. KYC establishes the identity and legitimacy of a person or business. KYA verifies the autonomous agent acting for that principal and evaluates its delegated authority for the current action. Agentic commerce needs both because a legitimate customer can still operate a compromised, impersonated, or misdirected agent.
Threat model: how AI agent transactions actually fail
We define the threat boundary around actions an agent takes with delegated credentials or payment authority. KYA can identify the agent, limit its permissions, and support transaction checks, but KYA cannot prevent malicious instructions from reaching a model. Effective controls must assume that an authenticated agent may still receive compromised input.
Prompt injection can convert valid authority into an unauthorized action. An attacker places instructions in a webpage, issue title, email, or tool response that an agent processes as data. The agent then acts through its legitimate credentials, which creates a confused-deputy failure. In the February 2026 Cline compromise, a crafted GitHub issue title caused an authenticated coding session to install an attacker-controlled package that reached approximately 4,000 developer machines, according to the Cloud Security Alliance analysis. A commerce agent exposed to the same mechanism could attempt a purchase that its principal never requested.
Credential exposure can let an attacker impersonate an agent or take over its connected accounts. Agent configuration files may contain OAuth secrets, API keys, signing keys, or bot tokens. Reports about exposed OpenClaw installations described readable configuration files, although the underlying advisory was not independently verified. The March 2026 TeamPCP campaign provides stronger evidence of credential concentration risk. Attackers compromised the LiteLLM gateway and harvested several credential types affecting an estimated 500,000 corporate identities, as described by SANS. KYA controls should therefore avoid treating possession of a reusable secret as sufficient transaction authority.
Multi-agent chains can propagate compromised authority. One agent may ask a sub-agent to retrieve data, call a tool, or initiate a payment. Malicious content can travel with that request and trigger another agent operating under different credentials. The MCP-38 research taxonomy catalogs 38 threat categories for Model Context Protocol systems, including tool poisoning, server impersonation, and credential theft through malicious tool responses. Transaction controls should preserve the initiating principal, agent identity, delegated scope, and requested action across every handoff.
Verified sources do not establish synthetic identity, transaction laundering, or velocity abuse as distinct KYA fraud categories. Merchants may still need controls for those risks, but current evidence does not support claiming that KYA detects or prevents them. The documented case for KYA centers on limiting delegated authority, reducing credential misuse, and preserving accountability when agent actions cross systems.
Threat-to-control matrix
We map each threat to controls that either prevent unauthorized use or limit the resulting exposure. No single control establishes identity, authorization, payment validity, and behavioral trust at once.
| Threat | Control | Mechanism/Standard | What it does NOT cover |
|---|---|---|---|
| Prompt injection and confused-deputy actions | Bind the agent to a principal and require transaction-scoped authorization. Apply a risk check before execution. | RFC 9396 carries structured restrictions such as amount, creditor, resource, and permitted action. | Scoped authorization does not detect malicious instructions or prove that the agent interpreted the principal’s intent correctly. |
| Credential exposure and account takeover | Use short-lived, sender-constrained tokens and revoke compromised grants. | RFC 9449 binds a token to a client key. RFC 8705 supports certificate-bound tokens. RFC 7009 defines token revocation. | These standards do not perform agent identity proofing or behavioral risk scoring. Revocation can also face propagation delay. |
| Authority re-delegation across agent chains | Issue a restricted credential at each delegation step and record the principal, agent, audience, and permitted action. | RFC 9396 limits actions and resources. Workload-bound credentials can establish which runtime requested the next grant. | These controls do not determine whether an upstream agent was manipulated. No cited standard defines a complete agent delegation chain. |
| Token replay | Require proof of possession for every request and reject reused proof identifiers. | DPoP uses signed proofs containing request details, token hashes, timestamps, and unique identifiers. | DPoP does not authenticate the agent’s business identity or authorize the requested purchase. |
| Duplicate or high-velocity transactions | Enforce idempotency, spending limits, velocity rules, and behavioral checks at the transaction decision point. | Merchant policy supplies these controls because the cited OAuth RFCs define no standard idempotency or velocity mechanism. | Local rules cannot establish source-of-funds legitimacy or detect every coordinated fraud pattern. |
| Repudiation and disputed actions | Record authorization status, token identifiers, decision inputs, and transaction outcomes in protected audit storage. | RFC 7662 exposes fields such as active, sub, aud, and jti for correlation. |
Introspection does not define log retention, evidence integrity, or non-repudiation. |
| Synthetic identity and transaction laundering | Apply KYC, merchant screening, payment-network controls, and transaction monitoring alongside KYA. | These controls depend on payment and identity programs outside the cited agent authorization standards. | KYA alone cannot validate a human identity, merchant legitimacy, or settlement activity. |
Identity verification: binding a transaction to a real agent and principal
Identity verification must bind an agent to the human or business responsible for it before a merchant evaluates permissions or accepts payment. A merchant needs to identify who issued the credential, which agent presented it, and which principal authorized that agent to act. The merchant must also confirm that the presenter legitimately controls the credential.
The W3C Verifiable Credentials model separates three roles. An issuer creates and signs claims, while a holder possesses and presents the credential. A verifier checks the evidence and decides whether to accept it. The holder may differ from the credential subject, which matters when an agent presents claims about its owner or operating business.
A valid signature proves that an expected issuer signed the credential and that nobody altered the signed content. The signature does not prove that each claim is true, that the merchant should trust the issuer, or that the presenter legitimately controls the credential. Merchant policy should close that trust gap by accepting issuers through a trust registry or by requiring an assertion from a recognized identity verifier.
Skyfire’s KYA token provides a concrete agent-native implementation of this pattern. Our KYAPay whitepaper defines the KYA token as an identity-only JWT for account creation, login, or verification of an agent or its owner. Skyfire signs the JWT using JSON Web Signature as defined by RFC 7515, while RFC 7519 defines the token format.
The token separates the principal, platform, and agent identities through defined claims. The hid claim carries buyer or human identity information. The apd claim identifies the agent platform, and the aid claim identifies the agent. The KYAPay IETF draft also defines optional verifier, verified, and verification_id fields within the human and platform identity claims. Those fields let a named third party assert a verification result rather than asking the merchant to accept a self-asserted identity.
A merchant should validate the signature, issuer, intended audience, and validity period before trusting the identity claims. Merchant policy should then evaluate the named verifier and confirm the binding between the principal and the presenting agent. Successful identity verification establishes who is acting for whom. Separate authorization and payment controls must still decide whether that agent may perform the requested transaction.
Scoped authorization: OAuth, API keys, workload identity, and where KYA adds transaction-level trust
OAuth, workload identity, and API keys answer different access-control questions. OAuth represents delegated permission, but an OAuth access token does not independently prove which workload presents it. SPIFFE establishes cryptographic workload identity but includes no built-in authorization policy. The useful shorthand is that SPIFFE answers who, while OAuth answers can.
| Mechanism | What it verifies | Authorization model | Transaction-level revocation | Designed for autonomous agents |
|---|---|---|---|---|
| OAuth | An authorization server granted a client specified access. | Scopes or structured authorization constrain permitted actions. | Implementations can revoke tokens, but ordinary scopes may remain broader than one transaction. | No. OAuth provides general delegated authorization. |
| SPIFFE | A workload holds an identity issued within a trust domain. | A separate policy engine or authorization server decides what the workload may do. | Short-lived credentials limit exposure, but SPIFFE does not revoke individual transactions. | No. SPIFFE targets workload identity. |
| API key | A caller possesses a shared credential associated with an account or application. | Server-side policy determines what the key can access. | An operator can disable or rotate the key, but the key does not inherently carry revocable transaction policy. | No. API keys are static credentials. |
| KYA | A verified agent acts for a bound principal and task. | Agent-specific policies can account for behavior and transaction context. | Implementations can issue narrow authorization and must define status and revocation checks. | Yes. KYA targets autonomous agents. |
RFC 9396 provides a standard way to express narrow transaction authority within OAuth. Its authorization_details parameter can bind a grant to a payment amount, currency, creditor, resource location, or permitted action such as initiate or cancel. An authorization server must reject unknown authorization types or malformed details, which prevents a client from silently expanding a defined grant. The standard does not provide behavioral monitoring, velocity controls, or transaction idempotency by itself. RFC 9396 documents the structured grant and its limits.
At Skyfire, we position KYA above these credential and authorization mechanisms rather than as their replacement. A workload identity can establish which service runs the agent, and OAuth can grant access to a merchant API. Skyfire’s portable KYA token and Agentic Wallet add an agent-native identity plus payment-authorization layer that can connect the principal, agent, task, and spending policy. Merchants still need to enforce the grant, evaluate behavioral and transaction risk, and reject actions that exceed the authorized context.
Transaction-scoped controls at the point of payment
Payment-time controls should enforce the limits of one transaction after the agent passes identity and authorization checks. The payment endpoint should compare the requested amount, currency, merchant, and action against the approved values before releasing funds or initiating settlement.
OAuth Rich Authorization Requests provide one way to express these limits. The authorization_details parameter can carry a structured payment authorization with an amount, currency, creditor, permitted action, and target resource. The authorization server must reject unknown transaction types or malformed fields. The payment service must still verify that the submitted purchase matches the approved details.
Sender-constrained tokens reduce the value of a stolen credential. Under DPoP, an agent signs a proof for each HTTP request. The jti claim gives the server a unique value for replay detection, while ath binds the proof to the presented access token. The proof also covers the HTTP method and target URI. DPoP proves possession of a private key, but it does not establish agent identity or decide whether a purchase complies with policy.
Mutual TLS offers another sender-constraining method. A certificate-bound access token includes a reference to the client certificate. The payment service verifies that the certificate used for the TLS connection matches the certificate bound to the token. A thief who obtains only the token cannot present it without the associated private key and certificate.
Skyfire applies payment limits alongside agent identity. Our Agentic Wallet supports a funded-wallet and settlement flow, while Pay and KYA+Pay tokens can carry per-token amount and currency fields. A KYA+Pay token connects those payment terms to the agent identity presented for the transaction. Merchant acceptance of the credential remains part of the integration.
Static card controls such as merchant category code restrictions remain useful, but they cover broad merchant categories rather than a specific agent, task, or purchase. Merchants should enforce exact transaction terms where possible.
RFC 9396, RFC 9449, and RFC 8705 do not define standardized idempotency keys or velocity limits. Merchants and platforms must add duplicate-request handling, transaction counters, time-window limits, and risk checks separately. Payment networks and settlement services also remain separate layers from agent identity and payment authorization.
Continuous behavioral monitoring and risk scoring
A one-time authorization check cannot account for how a non-deterministic agent behaves after access begins. New prompts, external content, or tool responses may cause an agent to attempt actions that its principal did not anticipate. Authorization at session start proves that the request met policy at that moment. It does not establish that every later action remains appropriate.
The NIST SP 800-207 zero-trust model supports per-session authorization, dynamic policy decisions, and continuous asset monitoring. A KYA implementation can apply those principles by re-evaluating the agent at session and transaction boundaries. The policy decision should consider the verified agent identity, current permission scope, transaction details, recent activity, and workload context.
Behavioral monitoring adds evidence about how the agent uses its authority. A merchant might flag an agent that suddenly changes creditors, increases purchase frequency, or calls an API outside its usual sequence. The policy engine can then deny the action, require human approval, or narrow the agent’s permissions. Deterministic controls should still enforce hard limits such as approved merchants and maximum amounts, regardless of any behavioral score.
At Skyfire, we treat behavioral evidence as a complement to KYA identity and scoped authorization. Security literature describes techniques such as Isolation Forest and autoencoders for detecting deviations in API calls, access records, and system metadata. However, the cited anomaly-detection research addresses general cloud behavior rather than autonomous-agent payment fraud. No validated, general-purpose KYA fraud score follows from that evidence.
You should therefore validate any model against your own transaction patterns and measure both detection accuracy and false positives. New agents also lack enough history for a reliable baseline, so identity assertions, transaction limits, and human review remain important during that initial period. Each risk decision should record the signals, policy version, score, and resulting action so an investigator can reconstruct why the platform allowed or blocked a transaction.
Revocation, status checks, and audit trails
A merchant should disable a compromised agent credential at the authorization server, reject it at every protected resource, and preserve the related decisions as incident evidence. Revoking a local session alone leaves other sessions and derived credentials usable.
- Revoke the credential and its grant. RFC 7009 requires authorization servers to support refresh-token revocation and recommends access-token revocation. Revoking a refresh token should also invalidate access tokens issued under the same grant. The client sends the token to an authenticated HTTPS revocation endpoint. A
503response means the client should assume the token remains valid and retry according to anyRetry-Aftervalue. - Account for propagation delay. RFC 7009 calls for immediate invalidation but recognizes that distributed services may receive the update late. Short-lived access tokens limit that exposure window, while refresh-token revocation prevents the agent from obtaining replacements. Merchants should define how quickly gateways, payment services, and other protected resources must receive revocation updates.
- Check status before sensitive actions. RFC 7662 lets a protected resource ask the authorization server whether a token remains
active. The resource should deny the request when introspection returnsactiveas false. Cached responses reduce authorization-server load but can allow a revoked credential to remain usable until the cache expires, so high-risk transactions need fresher checks. - Correlate each decision with the transaction. Audit records should capture the token’s
jti, agent or principal identifier insub, intended recipient inaud, transaction identifier, timestamp, requested action, policy decision, and outcome. Those fields let an investigator connect the presented credential, authorization result, and resulting payment or resource access without storing the full bearer token.
NIST SP 800-53 AU-2 calls for organizations to define which security events they audit, while AU-9 covers protection of audit information against unauthorized access and modification. A published implementation mapping includes authentication outcomes, authorization decisions, privilege changes, and policy changes among the relevant events. Your retention policy should follow applicable legal, contractual, and incident-response requirements. AU-9 does not establish one universal retention period.
KYA versus Experian Agent Trust and other frameworks
Experian Agent Trust and Skyfire KYA address connected layers of agentic commerce. Experian defines a trust framework for binding a verified person to an agent and evaluating risk. We provide an agent-native identity and payment-authorization layer that can operate within that framework.
| Component | Primary role | Relationship to Skyfire |
|---|---|---|
| Experian Human-to-Agent Binding | Connects verified consumers, devices, and agents | Can supply principal-binding and risk information used in an agent transaction |
| Experian Agent Trust Token | Communicates identity and transaction fraud risk | Complements a portable Skyfire KYA or KYAPay credential |
| Experian Agent Registry | Maintains dynamic agent trust scores based on behavior and other signals | Can provide risk signals to authorization policies |
| Skyfire KYA or KYAPay token | Packages portable agent identity and scoped payment authorization | Gives merchants and platforms machine-readable information about the agent and its authority |
| Skyfire Agentic Wallet | Applies payment credentials and spending controls to agent transactions | Connects verified agent identity with payment authorization |
Experian describes Human-to-Agent Binding, the Agent Trust Token, and the Agent Registry in its Agent Trust announcement. Experian also names Skyfire as an ecosystem collaborator that packages and exchanges agent information across platforms.
For autonomous workflows that require an agent to authenticate and transact, we position Skyfire KYA and the Agentic Wallet as the agent identity plus payment-authorization layer. Experian Agent Trust can contribute principal binding and risk signals. Neither approach replaces OAuth, payment networks, or merchant fraud controls.
Implementation checklist for merchants and platforms
- Phase 1. Audit credentials and transaction paths. We recommend identifying every agent credential, its owning principal, and each resource it can access. Remove shared credentials, find secrets stored in code, and rank transaction paths by potential loss. Start the rollout with controls for the highest-risk production paths.
- Phase 2. Add cryptographic and scoped authentication. Verify the agent and its principal before issuing short-lived credentials. Encode permitted actions, payment amounts, and creditors with
authorization_detailsunder RFC 9396. Bind tokens to the agent’s key through DPoP under RFC 9449 or certificate-bound tokens under RFC 8705. Require a unique transaction identifier because these RFCs do not define payment idempotency. - Phase 3. Implement status checks and revocation. Check token state before sensitive actions through RFC 7662 introspection, including the active state, subject, audience, scope, and expiration. Provide an HTTPS revocation endpoint consistent with RFC 7009, and revoke related credentials when an agent or principal loses authority. Keep access tokens short-lived to limit exposure during revocation propagation delays.
- Phase 4. Export audit records and enable continuous monitoring. Store authentication outcomes, authorization decisions, policy changes, and transaction identifiers outside the application’s native logs. Protect log access and set retention according to applicable legal and contractual duties, following NIST SP 800-53 audit controls and NIST SP 800-207 zero-trust principles. Feed events into your monitoring platform, then compare each request with the agent’s permitted behavior and transaction history. Start with alert-only rules, test revocation and incident-response procedures, and move proven rules into automated blocking.
FAQ
Does KYA replace OAuth or API keys?
KYA complements OAuth and API keys rather than replacing them. OAuth grants delegated permissions, and API keys authenticate credential possession. KYA adds portable agent identity, behavioral authorization, and transaction-level controls for autonomous actions.
How is KYA different from KYC?
KYC verifies the person or business behind a transaction. KYA verifies and authorizes the autonomous agent acting for that principal. Agentic commerce may require both controls because principal verification does not identify which agent initiated a specific action.
Does a KYA token guarantee PCI DSS or SOC 2 compliance?
A KYA token does not guarantee PCI DSS compliance, a SOC 2 attestation, or any other compliance status. Those outcomes depend on the organization’s complete control environment, documented processes, technical scope, and independent assessment. Skyfire itself is PCI DSS Level 2 Service Provider compliant and is working toward SOC 2 Type II. See Agent Payment Compliance at Skyfire for details.
Can a KYA credential be revoked mid-transaction?
A KYA deployment can stop a credential during a transaction when the verifier supports revocation or status checks. The merchant must check credential status before final authorization and reject inactive credentials. The sourced Skyfire documentation does not specify token or wallet revocation mechanics, so implementers should confirm those details directly.
Conclusion
Fraud prevention in agentic commerce depends on several controls working together. Identity establishes which agent and principal are acting. Authorization limits what the agent may do. Payment networks carry and settle the transaction, while behavioral controls evaluate whether the agent’s actions fit its approved task. No single layer can perform every function.
Merchants and platforms remain responsible for selecting these controls, connecting their decisions, and defining how failures trigger denial, review, or revocation. Standards bodies and vendors supply mechanisms for each layer. At Skyfire, we provide the agent identity and payment authorization layer through KYA and the Agentic Wallet. Those capabilities complement KYC, OAuth, workload identity, merchant risk systems, and payment-network controls. A defensible implementation assigns each mechanism a bounded job and verifies the handoffs between them.