Agent Mode offers enhanced enterprise-grade features designed to meet the security, governance, and access control requirements of large organizations. These features provide administrators with granular control over AI capabilities while maintaining security and compliance standards.
Enterprise features for Agent Mode include the following:
Enterprise Admins can control access to Agent Mode beyond the standard team-level AI consent settings, enabling precise control over which users can use AI capabilities within your organization. To manage access to Agent Mode for your organization, see Manage AI access and guardrails.
Granular access control enables common enterprise scenarios:
Agent Mode implements multiple layers of security to protect sensitive data before it reaches any LLM. These guardrails operate automatically to prevent exposure of confidential information.
Secret redaction automatically prevents API keys, tokens, credentials, and other secrets from being sent to LLMs:
To manage secret redaction, see Manage AI access and guardrails.
Protect personally identifiable information using industry-standard guardrails. Agent Mode uses AWS’ PII Guardrails to redact PII before forwarding it to the underlying LLM. To manage PII redaction, see Manage AI access and guardrails.
Enabling PII redaction may impact product usability and response latency due to additional processing requirements.
Model Context Protocol (MCP) servers extend Agent Mode functionality by connecting to third-party systems. Enterprise governance controls help manage the security and compliance risks associated with these integrations. To manage the MCP policy for your organization, see Manage AI access and guardrails.