See a Sample AI Security Report

Sample Report

Sample Aurascape AI Security Report

The Aurascape AI Security Report shows how AI is used across your enterprise, where sensitive data is exposed, and how well your controls are working. This report is a sample. The numbers are illustrative, modeled on patterns from real Aurascape deployments, so you can see what it delivers before you run your own. Customers generate it on demand or on a recurring schedule, with no spreadsheets to assemble.

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Executive Overview

AI adoption inside most enterprises now moves faster than the reporting around it. Leadership asks a direct question: how is AI being used here, and is it safe? The Aurascape AI Security Report answers it with data. Each report covers a defined period and compares it to the one before, so trends in usage, new tools, data exposure, and enforcement stay visible over time.

The report starts with adoption. It counts AI conversations, active users, and active devices, then ranks the applications and people driving the most activity. In the sample, AI conversations rose 32 percent in a single month. It also flags anything newly observed. Claude and Claude Code surface as unsanctioned tools, concentrated in engineering and data teams. That is how shadow AI appears in the report: named, counted, and tied to specific users.

From there it goes deeper than counts. The report categorizes the sensitive data moving through AI tools, from source code and secrets to financial records and PHI (Protected Health Information). The sample surfaces Prompt Injection as a newly observed category to review, and shows Model Context Protocol (MCP) conversations up 320 percent as developers connect agents to tools. For a security team, that reads as early warning instead of hindsight.

Most important, the report shows whether your controls are working. It breaks down enforcement by action: blocks, warns, and confirm-allows across access policy and data loss prevention (DLP). Blocks come paired with user coaching, so risky requests stop and approved AI use keeps moving. That gives you evidence for operational reviews, compliance audits, and board conversations about AI governance.

Frequently Asked Questions

A useful AI security report answers three questions: how AI is being used, what sensitive data is moving through it, and whether your controls are working. The Aurascape AI Security Report covers:

AI conversation volume, active users, and active devices
Top applications and top users, with newly observed and unsanctioned tools flagged
Sensitive data categories detected in prompts and responses
Model Context Protocol (MCP) and AI agent activity
Every enforcement action, broken down by blocks, warns, and confirm-allows

Each report compares the current period to the prior one, so trends are easy to track.

Aurascape measures AI adoption at the interaction level, not just by which sites employees visit. It counts AI conversations, active users, and active devices, ranks the tools in use, and tracks change over time. In the sample report, AI conversations grew 32 percent in a single month to 158,060 across 15,200 users. That detail shows not only that AI use is rising, but where and how fast.

Shadow AI shows up when employees use AI tools the security team has not approved. Aurascape discovers these tools automatically, including AI embedded inside other applications, and flags anything newly observed. In the sample report, Claude and Claude Code appear as newly observed unsanctioned tools with more than 35,000 conversations, concentrated in engineering and data teams. The report names the tool, counts the usage, and attributes it to specific users.

You prove it with enforcement data over time. The Aurascape AI Security Report shows every action your policies took and the trend against the previous period. In the sample, Aurascape recorded 2,840 enforcement actions, including 890 data loss prevention (DLP) blocks and 1,200 access policy blocks paired with user coaching. Tracked each period, that becomes evidence for auditors, executives, and the board.

Aurascape inspects the content of AI interactions and categorizes the sensitive data inside them. It detects categories such as source code, API keys and secrets, financial records, and PHI (Protected Health Information). The sample report shows Sensitive Technology as the most exposed category at 72,010 detections and flags Prompt Injection as a newly observed category to review. You see what data is moving, not just that something moved.

Model Context Protocol (MCP) lets AI agents call tools and reach data, which makes it a control point worth watching. Aurascape tracks MCP conversations, the users behind them, and the clients connecting through it. In the sample report, MCP conversations rose 320 percent, and three unsanctioned coding tools appear as MCP clients reaching internal systems without IT visibility. The report surfaces that risk before an agent acts on it.

Aurascape customers generate the AI Security Report on demand at any time, or on a recurring schedule such as monthly or quarterly. The platform already captures the underlying activity, so there is no manual data collection and a current report is always available.

The sample uses illustrative figures modeled on patterns from real Aurascape deployments. The numbers are fabricated for the sample, but the structure, categories, and behavior reflect what customers actually see. Your own report draws on your live environment.