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Version: 1.8.0

OWASP LLM & MCP Top 10 crosswalk

Two OWASP lists describe the risks of running AI in production: the Top 10 for LLM Applications, about the model call, and the MCP Top 10, about the tool call underneath it. This page maps both to controls that can sit on the request path, and says plainly where they cannot.

Sources, and when this was checked

OWASP Top 10 for LLM Applications (2025) · OWASP MCP Top 10 (2025)

Checked 29 August 2026. The MCP list is a beta release (v0.1) with a full release due October 2026 — entry ids and titles may still change, and this page is re-checked when it lands. Read the primary sources rather than this summary.

What this is not​

Neither list is a standard you can comply with. Both are catalogues of risk, so there is nothing to be certified against and no score to achieve. Anything that offers you an "OWASP compliance rating" is selling you something that does not exist.

A request path cannot address every entry. Four of the twenty are about how a model or a dependency was built, which happens long before a request arrives. Saying so is the point of the page — a crosswalk that claims full coverage is not a crosswalk, it is a brochure.

Where controls can act: the LLM Top 10​

EntryDistributionIn plain termsWhat a governed request path can do
LLM01 Prompt InjectionBoth; semantic/classifier options depend on configurationSomeone hides instructions in the input to make the model do something elseInjection detection before the model
LLM02 Sensitive Information DisclosureBoth; TOKENIZE is EnterprisePersonal or confidential data reaches the model, or comes back in a replyDetection with default LOG, BLOCK, REDACT, and Enterprise TOKENIZE
LLM03 Supply ChainNeitherA compromised model, dependency or pluginNothing. This is a build and procurement control
LLM04 Data and Model PoisoningNeitherTraining or tuning data is tampered withNothing. It happens before a request
LLM05 Improper Output HandlingBothA reply is passed to another system without being checkedOutput schema validation and sanitisation
LLM06 Excessive AgencyEnterpriseThe system can do more than it should be able toApproval gates, agent permissions, loop detection, session kill
LLM07 System Prompt LeakageBothThe system prompt comes back out in a replyPartial. The reply is compared with the request's system prompt, on streamed replies too from 1.8.4; a reworded leak can pass
LLM08 Vector and Embedding WeaknessesEnterprise for semantic cacheRetrieved or cached data leaks between usersPartial. Workspace cache isolation; external retrieval is not covered
LLM09 MisinformationEnterpriseThe reply asserts things nothing supportsGrounding detection only when the caller supplies sources
LLM10 Unbounded ConsumptionBoth for rate limits; Enterprise for budgets and agent loopsSpend or load runs awayRate limits, budgets, per-call limits, and loop stops

Where controls can act: the MCP Top 10​

Enterprise only

Not included in DVARA Open Source.

EntryIn plain termsWhat a governed request path can do
MCP01 Token Mismanagement & Secret ExposureCredentials sit somewhere they should notCredentials held per workspace — encrypted, or as a reference to your vault — and rotated with a grace window rather than a cutover
MCP02 Privilege Escalation via Scope CreepAn agent acquires capability it was never meant to havePer-workspace allow-lists of servers and tools, and policy deciding which may be called at all
MCP03 Tool PoisoningA tool's description or output manipulates the agentPartial. Injection detection on tool arguments and responses
MCP04 Software Supply Chain AttacksA compromised dependency changes agent behaviourNothing. Same reason as LLM03
MCP05 Command InjectionUntrusted input becomes a command that runsPartial. Argument scanning and tool policy. The system that executes the command is not ours
MCP06 Intent Flow SubversionInjected context redirects the agent from its goalPartial. Injection detection, plus loop detection across the session
MCP07 Insufficient Authentication & AuthorizationNobody checks who is callingEvery call carries a workspace identity, each hop is authorised, and on-behalf-of tokens carry the delegation
MCP08 Lack of Audit and TelemetryYou cannot reconstruct what happenedA signed, hash-chained record of every call, per-call telemetry, and export to your SIEM
MCP09 Shadow MCP ServersServers running outside anyone's governanceThe registry is the allow-list — but only for traffic that goes through it. See the limit below
MCP10 Context Injection & Over-SharingContext leaks between tasks, users or agentsPartial. Scanning on arguments and responses, and workspace isolation of stored context

The limit worth stating twice​

A control point sees what goes through it. That is the whole mechanism, and it is also the boundary: a team that calls a provider directly, or wires up a tool server nobody registered, is invisible to it. MCP09 Shadow MCP Servers is therefore only half-answerable by any gateway — it can guarantee that governed traffic reaches approved servers, and it cannot tell you about traffic that never arrived.

Closing the other half is a network and procurement question: egress policy, credential issuance, and knowing which teams hold provider accounts. No product setting substitutes for it.

The four entries nothing on the request path reaches​

LLM03, LLM04, MCP04 and — for the executing system — MCP05. These are about what was built and what was installed, not about what a request does. They belong to code review, dependency scanning, model provenance and procurement.

They are listed here because a crosswalk that quietly omits its own gaps is worse than none: the gaps are where you need a different control, and that is the useful thing to know.

Which of these you should look at first​

The Production AI Readiness Checklist asks fifteen plain questions and turns the gaps you report into a short action list. It takes about five minutes, needs no email, and your answers stay in the browser.

It is a self-assessment, not a test: it records what you believe about your own controls and does not examine them.