aidefence_analyze
Deep analysis of input for specific threat types with similar pattern search and mitigation recommendations. Use when nothing native exists — Claude Code does not have a PII / prompt-injection / adversarial-text scanner. Pair with any tool that ingests untrusted input (browser scrape, federation ...
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What aidefence_analyze does on Ruflo
AI agents call aidefence_analyze to retrieve information from Ruflo without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why aidefence_analyze is rated Low
The tool's function is to analyze and report on security threats (PII, prompt injection, adversarial text) without side effects. It retrieves threat intelligence from the input and returns recommendations. No data is created, modified, deleted, or executed as a result of running this tool—it only examines and advises.
From the tool's definition Tool performs 'deep analysis' and 'pattern search' with 'mitigation recommendations' — it scans input for threats but does not modify data, execute code, or trigger external operations.
Attacks that exploit this kind of access
The rule that runs aidefence_analyze safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Ruflo, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For aidefence_analyze, this is the rule to start with:
aidefence_analyze is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Ruflo, apply this rule, and every aidefence_analyze call is checked against it from then on.
Questions about aidefence_analyze
Deep analysis of input for specific threat types with similar pattern search and mitigation recommendations. Use when nothing native exists — Claude Code does not have a PII / prompt-injection / adversarial-text scanner. Pair with any tool that ingests untrusted input (browser scrape, federation envelope, memory_import_claude). It is categorised as a Read tool in the Ruflo MCP Server, which means it retrieves data without modifying state.
Register the Ruflo MCP server in PolicyLayer and add a rule for aidefence_analyze: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Ruflo. Nothing to install.
aidefence_analyze is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the aidefence_analyze rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for aidefence_analyze. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
aidefence_analyze is provided by the Ruflo MCP server (ruvnet/ruflo). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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