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AI Session Event Analysis Prompt – Technical Overview

Purpose and Scope

The AI Session Analysis Prompt is designed to generate a structured, audit-ready analysis of a single privileged access session based exclusively on the events recorded during that session. It enables users to transform raw session event data (for example, keystrokes, file transfers, clipboard activity, and participant changes) into a consistent, human-readable report suitable for security review, operational oversight, and compliance auditing.

This prompt is intentionally session-isolated: it does not compare activity against historical sessions, user baselines, peer behavior, or external data sources. All conclusions and statistics are derived strictly from the events present in the provided session data.

Note

This page documents the use cases, requirements and constraints of the default prompt named Generate a summary of this Session Events report. However, the information provided on this page can be used or referenced when writing your own custom prompts.

Intended Use Cases

The prompt is optimized for the following scenarios:

  • Session review and investigation

Quickly understand what occurred during a privileged session and identify moments requiring attention.

  • Operational oversight

Summarize how privileged access was used during a session, including activity intensity and scope.

  • Audit and compliance evidence

Produce a consistent, reproducible session summary that supports accountability and traceability.

  • Automation and scale

Enable standardized AI-generated session summaries across large volumes of session event recordings.

Input Requirements

Report data is included automatically at runtime. These input requirements are provided for informational purposes only.

Data Format

  • Input must be provided as raw CSV text, not as a file attachment.
  • The CSV represents one privileged session only.
  • Column names, event types, and available fields may vary between sessions.

Expected Data Characteristics

  • Events are typically timestamped.

  • Events may include (but are not limited to):

    • Keyboard or command activity
    • File transfer events
    • Clipboard activity
    • User join/leave events

  • Some event categories may be absent in a given session.

The prompt is resilient to missing or incomplete data and does not require a fixed schema.

Analytical Constraints

To ensure consistent output, the prompt enforces the following constraints:

  • No cross-session comparison

The AI does not compare activity to prior sessions, typical behavior, or peer groups.

  • No external inference

The AI does not rely on external threat intelligence, historical profiles, or assumed intent.

  • No hallucination

If an event type or data element is not present in the CSV, it is explicitly reported as not observed.

  • Neutral, audit-safe language

Findings are based on observable facts and internally derived indicators, avoiding speculative or accusatory phrasing.

Output Structure

The prompt produces the same set of sections, in the same order, regardless of input variability. If no relevant data exists for a section, it is still included with an explicit statement indicating the absence of relevant events.

Required Output Sections

  1. Session Overview
    High-level summary including duration, activity presence, and overall scope.
  2. Timeline & Activity Flow
    Reconstruction of session phases, activity bursts, idle periods, and sequencing.
  3. Keyboard & Command Activity
    Statistics related to keystrokes, command execution, interaction density, and command characteristics.
  4. File Transfer & Data Movement
    Summary of file transfer volume, directionality, timing, and file characteristics.
  5. Clipboard Activity
    Clipboard usage frequency, size indicators, and contextual timing.
  6. Multi-User Presence & Accountability
    Identification of session participants, overlap periods, and actions performed during shared access.
  7. Internal Risk Indicators (Session-Only)
    Session-derived risk signals based on action concentration, impact, and sequencing.
  8. Notable Moments Requiring Attention
    Highlighted timestamps or intervals where impactful or clustered actions occurred.
  9. AI-Generated Session Narrative Summary
    A concise, plain-language narrative describing what occurred during the session from start to finish.

Consistency and Predictability

The prompt is designed to generate consistent output across sessions, even when:

  • Event volume differs significantly
  • Certain event types are missing
  • CSV schemas vary between systems or connectors

This consistency makes the output suitable for:

  • Repeated manual review
  • Automated downstream processing
  • Long-term audit retention

Limitations

  • The analysis reflects only what was recorded. Non-recorded events cannot be reconstructed or inferred.
  • Risk indicators are session-internal and should be interpreted as guidance for review, not as definitive judgments.
  • The output is descriptive and analytical, not prescriptive or enforcement-oriented.

Summary

The AI Session Event Analysis Prompt provides a standardized, defensible way to convert raw PAM session event data into structured insight. By focusing exclusively on session-contained events and enforcing a fixed analytical output structure, it supports security, operations, and compliance teams with clear and review-friendly session summaries.