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Learn · Context Firewall

What is a context firewall for AI agents?

A context firewall is a runtime security boundary for AI agents. It controls which sources of context — user prompts, retrieved documents, memory, MCP responses, tool outputs, web pages, emails, and files — are allowed to influence which actions, such as tool calls, memory writes, data exports, browser actions, approvals, code execution, or final answers.

By the Ultra13 teamPublished Updated
TL;DR
  • A context firewall enforces source-to-sink policy: whether a given source of context may influence a given action.
  • Unlike a prompt filter, it does not only ask whether text looks malicious — it controls authority.
  • It applies across RAG, memory, MCP, tools, browsers, egress, and approvals.
  • Every decision is logged with provenance so exploit paths can be replayed with enforcement off and on.

Why AI agents need a context firewall

Once an agent can read external content and take actions, the security boundary is no longer the prompt — it is the path from context to action. A benign-looking document, tool result, memory entry, or MCP response can still carry instructions that steer a privileged action. A context firewall governs that path.

Sources and sinks

A source is where a span of context comes from, with a trust class, tenant, and freshness: a user prompt, retrieved chunk, memory item, tool output, or MCP response. A sink is any action or output context can influence: a tool call, memory write, data export, browser action, code execution, approval, or final answer. Source-to-sink policy decides which sources may influence which sinks.

Context firewall vs prompt filter

A prompt filter asks whether text looks malicious. A context firewall asks whether a source should be allowed to influence an action. See context firewall vs prompt filter for a side-by-side comparison, and how to secure AI agents for the broader model.

When you do and don't need one

You need a context firewall when your agent can read external context and do something consequential: call APIs, update records, export data, write memory, execute code, browse, or act across tenants. You probably don’t need one if your AI only drafts text from a single user prompt with no tools, memory, retrieval, or side effects.

FAQ

Frequently asked questions

What is a context firewall?
A runtime boundary that controls which context sources can influence which agent actions. It labels context by provenance and trust class, then applies policy before tool calls, memory writes, exports, approvals, browser actions, code execution, or final answers.
How is a context firewall different from a prompt filter?
A prompt filter detects suspicious text. A context firewall controls authority: whether a specific source is allowed to affect a specific sink, even if the text does not look malicious.
Do all AI agents need a context firewall?
No. It is designed for agentic workflows where untrusted context can influence actions with real blast radius — tools, memory, RAG, MCP, browsers, code execution, payments, tenant data, or privileged APIs.
Can a context firewall run in monitor mode?
Yes — it can observe and flag exploit paths first, then enforce on high-risk sinks such as exports, shell execution, webhook egress, tenant-crossing actions, and persistent memory writes.

Map which context can influence which actions.

Give us one agent workflow. We’ll map the boundary, replay the abuse paths, and show where a context firewall blocks them.