Correlate an indicator of compromise (IOC) — IP, domain, file hash, URL, or email — against threat intel feeds and the existing sn_si_threat_intel store. Returns risk level (LOW/MEDIUM/HIGH), per-feed match confidence, and recommended response posture.
AI agents call snow_analyze_threat_intelligence to retrieve information from Serac without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a data lookup and analysis operation across threat intelligence sources. It retrieves information (risk levels, match confidence, recommendations) without creating, modifying, deleting, or executing external operations. The output is informational only, providing threat assessment data that a user or agent would use to make decisions. No side effects occur from calling this tool.
From the tool's definition The tool 'correlates an indicator of compromise against threat intel feeds and the existing sn_si_threat_intel store' and 'returns risk level, per-feed match confidence, and recommended response posture.' It queries and retrieves data without modifying or…
Attacks that exploit this kind of access
Correlate an indicator of compromise (IOC) — IP, domain, file hash, URL, or email — against threat intel feeds and the existing sn_si_threat_intel store. Returns risk level (LOW/MEDIUM/HIGH), per-feed match confidence, and recommended response posture. It is categorised as a Read tool in the Serac MCP Server, which means it retrieves data without modifying state.
Register the Serac MCP server in PolicyLayer and add a rule for snow_analyze_threat_intelligence: 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 Serac. Nothing to install.
snow_analyze_threat_intelligence 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 snow_analyze_threat_intelligence 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 snow_analyze_threat_intelligence. 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.
snow_analyze_threat_intelligence is provided by the Serac MCP server (serac-labs/serac). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
snow_analyze_threat_intelligence is one line of Serac's registry record.
The record carries the whole server: verified identity, auth posture, risk grade, every tool classified, recommended policy — re-checked continuously.
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