Compare · Context Firewall
LLM firewall vs context firewall: what is the difference?
An LLM firewall usually screens prompts and model outputs for unsafe content, policy violations, or sensitive data. A context firewall controls the agent workflow around the model: which context sources are allowed to influence which actions. For simple chatbots, an LLM firewall may be enough. For agents with tools, RAG, MCP, memory, browsers, APIs, or customer data, source-to-sink enforcement is the stronger boundary.
By the Ultra13 teamPublished Updated
TL;DR
- An LLM firewall screens prompts and outputs around the model.
- A context firewall governs the whole agent workflow: retrieval, memory, tools, egress, approvals.
- For tool-less chatbots an LLM firewall can suffice; agents need source-to-sink control.
- The two are complementary, not mutually exclusive.
Different boundaries
An LLM firewall sits at the model’s input and output. A context firewall sits across the agent loop and decides whether each class of context may influence each action. See what is a context firewall.
Capability comparison
Capability
LLM firewall
Context firewall
Screens prompts
Yes
Yes, where configured
Screens outputs
Yes
Yes, especially egress
Tracks context provenance
Usually limited
Core capability
Controls tool calls
Partial or no
Yes
Gates memory writes
Usually no
Yes
Handles MCP schema drift
Usually no
Yes
Enforces source-to-sink authority
Usually no
Core capability
Produces exploit-replay evidence
Rarely
Yes