AI Audit Trail

Secure60 captures and retains a complete audit trail of AI interactions — every prompt, model response and API call — using the same log management infrastructure that handles all other data on the platform.

What Gets Logged

When your AI systems are integrated with Secure60, the audit trail captures:

• Prompts — User inputs and system prompts sent to AI models.
• Responses — Model outputs returned to users or applications.
• Metadata — Timestamps, user identity, model identifier, token counts, latency, session context.
• API calls — Requests to AI APIs including parameters and response codes.

All AI audit data follows the same common information model used by every other data source in Secure60. This means you can search, correlate and report on AI interactions the same way you do for any other log data.

Retention

AI audit data follows the same retention policy as all other data in Secure60:

• 90-day default retention (longer available as a plan option — 180, 365, or custom).
• All data stays active and searchable for the full retention window.
• Compliance retention regimes can be applied to AI audit data the same as any other source.

Search and Investigation

AI audit data is searchable through the standard Secure60 search interface:

• Search by user, model, time range, prompt content, or response content.
• Pivot from an AI interaction to related security events (e.g. from a suspicious prompt to the user’s other activity).
• Build saved searches and dashboards for AI usage monitoring.

When a detection rule fires on AI data, the resulting threat links directly to the underlying audit trail — giving investigators full context without switching tools.

Integration

To capture AI audit data, your AI systems need to send interaction logs to Secure60. Common integration patterns include:

• Application instrumentation — Add logging to your AI applications that forwards interactions to Secure60’s ingest API.
• API gateway logging — If your AI calls route through an API gateway, forward the gateway logs.
• Proxy capture — Deploy a logging proxy between users and AI endpoints.

Work with Secure60 to determine the best integration approach for your specific AI deployment architecture.

Getting Started

Contact Secure60 to discuss which AI systems you want to audit and how they are deployed. The team will help you set up the right integrations and configure retention policies that meet your requirements.