An agentic AI supply chain attack occurs when a malicious or compromised component influences an AI agent’s behavior. The entry point might be an MCP server, skill, plugin, connector, script, repository, or a dependency loaded by one of those components. The result can include unauthorized tool use, credential access, or data exfiltration.
An approved skill or MCP server may load additional scripts, packages, or remote instructions. Those nested components can affect what the agent does without being visible to teams reviewing the original installation. Mapping and monitoring the full dependency chain helps identify where risky behavior was introduced.
Traditional tools commonly assess packages and vulnerabilities during development. Agentic supply chain security also examines what components an agent loads at runtime, which permissions and tools they can use, and what actions they take on the endpoint. Both forms of visibility matter because a component’s risk depends partly on its execution context.
Teams can examine its source, publisher, version, requested permissions, scripts, external connections, and dependencies. They should also check for malicious instructions or unexpected execution paths. But assessment should be continuous because an update or newly loaded dependency can change a component’s risk after initial approval.
Yes. An approved agent may load an external skill, MCP server, plugin, or repository that has been compromised. The agent’s trusted status does not establish that every component it uses is safe. Backslash connects component visibility with endpoint behavior to detect and block risky actions, including those introduced through nested dependencies.
Backslash traces observed behavior through the agentic dependency chain. Security teams can identify which component introduced the risk, how it was loaded, what tools or data it accessed, and which actions it performed. That context helps them contain the incident and decide which components or versions to restrict.
Traditional dependencies pass through a gate. A package enters through a build, gets scanned, and lands in a lockfile someone can review. An agent can be told mid-conversation to install a Skill, connect to a new MCP server, or fetch a script - and it will often comply, especially when the instruction looks like it came from the user or from trusted content it just read. There is no CI, no pull request, and no review step.
Privacy is important to us, so you have the option of disabling certain types of storage that may not be necessary for the basic functioning of the website. Blocking categories may impact your experience on the website. More information
