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Inter-Process Communication

Inter-process communication is how separate processes exchange data on a host, including pipes, sockets, shared memory, and messages. For AI agents, IPC is a security boundary because command output, status, and control signals often travel through it. If IPC is not authenticated and scoped, a local user may interfere with trusted execution.

Expanded Definition

Inter-process communication, or IPC, is the set of mechanisms that let separate processes exchange data and control signals on the same host. Common forms include pipes, sockets, shared memory, signals, and message queues. In NHI and agentic AI environments, IPC is not just an engineering detail. It can become a trust boundary where an AI agent hands off commands, receives status, or streams tool output to another process.

Definitions vary across vendors when IPC is discussed in platform security, because some teams mean only local operating-system primitives while others include container-to-container channels and brokered message systems. NHI Management Group treats IPC as a governance concern whenever one process can influence the execution path, privileges, or outputs of another. That framing aligns with identity-centric controls in the NIST Cybersecurity Framework 2.0 and with the practical lifecycle focus in Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs.

The most common misapplication is treating IPC as trusted by default, which occurs when process boundaries are assumed secure because they run on the same machine or inside the same container.

Examples and Use Cases

Implementing IPC rigorously often introduces latency, policy checks, and debugging complexity, requiring organisations to weigh tighter control against simpler service orchestration.

  • An AI agent writes tool output to a local socket that a policy-enforcement process reads before releasing the next action. The socket should be authenticated and limited to the intended pair of processes.
  • A privileged helper process receives commands from a lower-privilege agent through a pipe. The pipe must be scoped so untrusted local users cannot inject data or impersonate the agent.
  • A containerised workflow uses shared memory for performance, but the memory region is readable by multiple processes. That design can expose prompts, tokens, or command fragments if isolation is weak.
  • A message queue carries status updates between orchestration components. Queue permissions, message integrity, and producer identity should be reviewed alongside the broader NHI lifecycle described in the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs.
  • Local control channels used by agent frameworks should be mapped to platform guidance in the NIST Cybersecurity Framework 2.0 so that access control, monitoring, and recovery are explicit.

Why It Matters in NHI Security

IPC failures often turn a contained process into a launch point for privilege escalation, command injection, prompt tampering, or secret exposure. For NHI security, the problem is not only whether an agent is authenticated at the network edge, but whether its internal control plane can be impersonated, redirected, or observed by a neighbouring process. That is why IPC design must be considered alongside lifecycle management, secret handling, and offboarding discipline in the Ultimate Guide to NHIs — Lifecycle Processes for Managing NHIs.

NHI Mgmt Group notes that 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools. When IPC is weak, those same secrets can move between processes without authentication, making leakage harder to detect and contain. In practice, secure IPC supports Zero Trust assumptions inside the host, not only at the perimeter.

Organisations typically encounter IPC risk only after a local compromise, malformed tool response, or agent takeover reveals that internal process boundaries were never treated as security boundaries, at which point IPC becomes operationally unavoidable to address.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Agentic AI Top 10 and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.

Framework Control / Reference Relevance
OWASP Agentic AI Top 10 Agentic systems rely on tool and process boundaries that IPC can undermine if untrusted.
OWASP Non-Human Identity Top 10 NHI-04 IPC can move secrets and commands between NHIs, creating trust-boundary exposure.
NIST CSF 2.0 PR.AC-4 Least-privilege access applies to internal process channels, not just external accounts.
NIST Zero Trust (SP 800-207) Zero Trust assumes no implicit trust between components, including local processes.
NIST AI RMF AI risk management covers operational dependencies like IPC when they affect system integrity.

Treat local process channels as attack surfaces and authenticate every agent-to-process handoff.