snow_audit_trail_analysis
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.
This record as markdown: /tools/serac/snow-audit-trail-analysis.md
What snow_audit_trail_analysis does on Serac
AI agents call snow_audit_trail_analysis to retrieve information from Serac without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why snow_audit_trail_analysis is rated Low
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
The rule that runs snow_audit_trail_analysis safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Serac, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For snow_audit_trail_analysis, this is the rule to start with:
snow_audit_trail_analysis 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 Serac, apply this rule, and every snow_audit_trail_analysis call is checked against it from then on.
Questions about snow_audit_trail_analysis
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.
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