TL;DR: Complete runtime protection blocks attacks inline across APIs, web apps, LLMs, AI agents and MCP servers at the moment of execution, rather than relying on after-the-fact detection, according to Impart Security. The control gap is that modern applications expose multiple reachable surfaces while many security tools still enforce only one, leaving AI-native attack paths partially governed.
NHIMG editorial — based on content published by Impart: What Is Complete Runtime Protection?
Questions worth separating out
Q: How should security teams govern AI agents that call APIs instead of using a UI?
A: Security teams should govern AI agents by treating each callable action as a scoped entitlement, not as a general application login.
Q: Why do existing WAF and API gateway controls fall short for agentic systems?
A: WAFs and API gateways were designed for narrower traffic patterns than modern AI systems produce.
Q: What breaks when runtime protection is detection-only?
A: Detection-only controls leave the final decision to humans after the request has already been processed.
Practitioner guidance
- Map every runtime surface Inventory where the application accepts executable input across web, API, LLM and MCP paths, then mark which controls can deny malicious requests inline and which only alert after execution.
- Treat AI agents as governed identities Assign explicit action scopes to agents, including which systems they can reach, what tools they can call and which data classes they may surface.
- Test denial, not just detection Run controlled abuse tests for prompt injection, tool misuse and API abuse to confirm the platform can block harmful requests before downstream execution.
What's in the full article
Impart's full blog covers the operational detail this post intentionally leaves for the source:
- Inline enforcement mechanics for LLM, API and MCP traffic paths
- Policy-as-code deployment considerations for runtime security teams
- How AI blue teaming feeds validated rules into production enforcement
- Observable telemetry patterns for blocked, allowed and ambiguous requests
👉 Read Impart's analysis of complete runtime protection across LLMs, MCP and agents →
Complete runtime protection across LLMs and MCP servers: is your stack covered?
Explore further
Complete runtime protection is really identity governance for machine-mediated actions. Once LLMs, agents and MCP servers can initiate requests, the question is no longer only whether the traffic is malicious. It is whether the requesting entity has the right to do that action, at that moment, against that resource. That makes runtime enforcement an identity and privilege problem wrapped inside an application security control. Practitioners should treat AI-facing execution paths as governed access paths, not just data flows.
A question worth separating out:
Q: How do teams know if runtime controls are actually working?
A: They should be able to trace a decision from source event to applied rule to final outcome without gaps. If that lineage is incomplete, the control may look correct in reports while failing in practice. Real governance shows up in explainable timing, not just in end-of-period summaries.
👉 Read our full editorial: Complete runtime protection for LLMs, MCP, APIs and agents