Analyze the audit trail (sys_audit): aggregates events by user, table, and action, surfaces top activities, and optionally flags anomalies (users with 3x the average activity). Filter by timeframe, user, or table; export as json/csv/pdf.
AI agents call snow_audit_trail_analysis 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 reads and aggregates existing audit log data without modifying or deleting anything. It queries sys_audit records and exports results. The medium severity reflects that audit trail data can be sensitive (revealing user activity patterns, security-relevant information), but the tool itself only performs read operations.
From the tool's definition Analyze the audit trail (sys_audit): aggregates events by user, table, and action, surfaces top activities, and optionally flags anomalies
Attacks that exploit this kind of access
Analyze the audit trail (sys_audit): aggregates events by user, table, and action, surfaces top activities, and optionally flags anomalies (users with 3x the average activity). Filter by timeframe, user, or table; export as json/csv/pdf. 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_audit_trail_analysis: 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_audit_trail_analysis 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_audit_trail_analysis 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_audit_trail_analysis. 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_audit_trail_analysis 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_audit_trail_analysis 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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