How should teams map AI agent dependencies after a package compromise?

Build the dependency map around the agent runtime path, not the package list

Start by mapping each AI agent as a runtime unit, then trace everything it can touch while it is executing: model providers, tool registries, secrets stores, orchestration runners and MCP servers. That view shows blast radius after compromise. A dependency inventory that only lists packages misses the critical question of which agent imported the dependency and what the agent could reach through it.

For each agent, separate direct runtime dependencies from indirect ecosystem dependencies. The direct set is what can change agent behaviour immediately, while the indirect set helps you see inherited risk from shared services, nested tools and delegation paths. That distinction matters because compromise often spreads through the path the agent actually follows, not through the software tree on its own.

When teams document the path, they should preserve the relationship between agent, dependency and reachable action. A model provider is not just a vendor entry, a secrets store is not just a vault name, and an MCP server is not just another endpoint. Each one can alter what the agent can observe, request, invoke or exfiltrate after a package compromise changes trust in the chain.

Which dependencies matter most after compromise?

The highest-value dependencies are the ones that can expand access, alter tool choice or expose secrets during runtime. That includes orchestration layers that schedule or route tasks, registries that resolve tools, and secret sources that may be consulted implicitly by the agent or its plugins. If one of those is compromised, the agent can inherit a much wider attack surface than the package itself suggests.

Teams should also map whether dependencies are shared across agents or isolated per agent. Shared model credentials, shared tool endpoints and shared runner accounts create correlated failure, because one compromised dependency can affect multiple agents at once. Isolation reduces that propagation, but only if the inventory records which agent uses which instance rather than treating the service as a generic platform dependency.

For agent-heavy environments, it helps to record the trust boundary each dependency crosses. A local runner, a remote API, and an MCP server all sit in different places in the control plane, and each one implies different exposure if a package compromise becomes active misuse. This is why the dependency map should include both the technical endpoint and the agent action it enables.

Two useful references for this mapping are OWASP Agentic Applications Top 10 and MCP Security Guide, because both focus attention on tool use, orchestration and the access paths that matter once an agent dependency is exposed.

What a useful compromise-ready inventory should capture

A useful inventory should answer four operational questions: which agent depends on the component, what runtime role the component plays, what credentials or tokens it can reach, and what action scope it creates if abused. If the answer to any of those is unclear, the map is incomplete for incident response.

• Agent name or identifier, including whether it is user-facing, background, or chained through another agent.
• Dependency type, such as model provider, tool registry, secrets store, orchestration runner or MCP server.
• Execution relationship, including whether the dependency is called directly, inherited through a framework, or reached through delegation.
• Reachable assets, including secrets, tools, data stores, external APIs and administrative actions.
• Control state, such as isolation level, approval gating, logging coverage and rotation ownership.

This is also where earlier compromise checks become easier. If you know which agents used a compromised dependency, you can focus investigation on the runtime paths that matter instead of scanning the whole package estate. The inventory should therefore support both exposure analysis and incident scoping.

Practitioner Guidance

What to prioritise: Build the map from agent to reachable action first, then backfill package detail. In an incident, the question is not which libraries were present, but which agents could have executed privileged or externalised actions through the compromised dependency.

What to verify: Confirm whether each dependency is shared, whether it can access secrets or delegated credentials, and whether the agent can invoke it without human approval. Those three facts usually determine whether the compromise is localised or can spread across multiple agent workflows.

What practitioners underestimate: Package inventories often miss embedded tool paths, implicit secret lookups and orchestration layers. If the map does not show runtime reach, it will understate blast radius and delay containment.

Practitioner takeaway: Treat the dependency map as a compromise analysis tool, not a software inventory, and anchor it to agent runtime reach so you can see both exposure and containment scope quickly.

Related resources from NHI Mgmt Group

• Guide: Red Teaming AI Agents for Identity Abuse
• What are the signs that an AI agent attack is only becoming visible after compromise has already happened?
• What should teams do in the first 24 to 72 hours after suspected package compromise?
• What should teams do first after an AI agent privilege escalation flaw is found?
• What should teams do in the first 24 to 72 hours after discovering a compromised AI agent runtime?