Turn on the AICT Security Analyzer agent

task brazil Updated Oct 28, 2026 2 min read gov-sec-configure-security-analyzer-agent.md
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Turn on the AICT Security Analyzer agent to get additional analysis of AI asset security events. The agent classifies events by severity, adds them to Your top recommendations, and creates relevant security tasks.

Before you begin

Role required: AI steward [sn_ai_governance_ai_steward]

About this task

The AICT Security Analyzer agent is turned off by default, so that no AI usage is consumed until you choose to turn it on. When the agent is turned on, it analyzes security events using historical trends and intents. For more information about the agent, see AICT security analyzer AI agent.

Note: When you turn on the agent, any Post-runtime settings that are enabled increase monitoring for threats and may increase token consumption.

Procedure

  1. In AI Control Tower, navigate to Settings > Rules and templates > Security.

  2. Select the Security insights tab.

    The AICT Security Analyzer section shows the current status of the agent.

  3. Select the arrow for Open in AI Agent Studio.

  4. In AI Agent Studio, turn on the AICT Security Analyzer agent.

    For more information, see AI Agent Studio.

Result

The AICT Security Analyzer agent starts analyzing security events for the settings you have enabled. To confirm, return to the Security insights tab. The status of the agent shows Enabled.

Parent Topic:Configuring security metrics in AI Control Tower

AICT Security Analyzer agent and Post-runtime settings

Post-runtime probabilistic metrics require that the AICT Security Analyzer agent is turned on. Both the AI agent and probabilistic metrics are turned off by default, and the sampling rate for the metrics is set to 1%. Turn them on to get additional monitoring and analysis of your AI systems.

Metrics turned off by default

The following metrics are turned off by default so that no AI usage is consumed until you choose to turn them on. For more information about configuring these metrics, see Configure post-runtime security metrics.

Warning: AI judge model classifications are probabilistic in nature and may be incomplete or incorrect. They don't constitute professional advice and shouldn't be relied on as the sole basis for assessing risk.

  • Agent goal deviation
  • Correctness detection
  • Data integrity incident detection
  • Excessive agency
  • Improper input and output handling
  • Prompt injection
  • Sensitive data disclosure
  • System prompt leakage
Keywords ServiceNow OttoAI Agentsgenerative AIagentic AIServiceNow OttoAI Agentsgenerative AIagentic AI
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