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Shadow AI Discovery Agent

Detects and controls the usage of unauthorized GenAI tools and SaaS LLM services, prevents sensitive data leakage to LLMs, and enforces AI governance policies.

ZscalerPalo Alto NetworksNetskopeChrome EnterpriseSlack

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Created By
HHunto AI
Last UpdateLast update 1 week ago
CategorySecOps
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Network Monitoring

Passive inspection of all outbound web traffic to identify AI destinations.

Unsanctioned Apps Detected

C
ChatGPT (Public)
High Risk
J
Jasper.ai
Medium
Q
Quillbot
Medium

Shadow AI Discovery

Instantly flagging unauthorized AI tools being used by employees.

How can I help you today?
Debug this code: AWS_SECRET_KEY="AKIA..." and fix the loop.
SECRET DETECTED

In-Browser DLP

Analyzing prompts in real-time to catch source code, keys, and PII.

BLOCKED

Action Prevented

You are attempting to paste Strictly Confidential data into a public AI tool.

Tip: Use Enterprise Co-Pilot for internal code queries. It is private and safe.

Real-time Coaching

Blocking risky actions and nudging users toward approved enterprise tools.

Active AI Apps
47
12 Approved
Data Leaks Blocked
1,208
Last 30 days

Full Visibility

Executive reporting on AI adoption and risk trends.

Live Workflow

Description

The Shadow AI Discovery Agent addresses the newest and most urgent threat vector: Employee use of unapproved AI tools. Employees are pasting proprietary code, customer PII, and financial strategy into public chatbots like ChatGPT, Claude, or Gemini to work faster. This agent provides visibility into *which* AI tools are being used and *what* data is being sent to them. It enforces your Acceptable Use Policy without blocking innovation, empowering safe adoption.

How it works?

The agent integrates with your CASB (Cloud Access Security Broker), Web Gateway, or browser extensions to inspect outbound traffic to known AI domains. It uses DLP (Data Loss Prevention) logic to analyze prompts in real-time. If an employee tries to paste a "CONFIDENTIAL" document into a public LLM, the agent can block the request, redact the sensitive info, or pop up a coaching message suggesting the approved internal enterprise bot instead.

Key Features

  • AI App Registry: Instantly identifies 5,000+ AI tools (from major LLMs to niche AI PDF editors).
  • Prompt DLP: Real-time removal of PII, API keys, and source code from prompts before they leave the browser.
  • Usage Analytics: Dashboards showing who are the "Power Users" of AI and which departments rely on it most.
  • Risk Grading: Scores AI apps based on their Terms of Service (e.g., "Does this tool train its models on my data?").
  • Coaching: Real-time browser nudges (e.g., "Please use Enterprise Chat for this sensitive/internal task").

    • Step by Step

    1
    Monitor Passive analysis of web traffic to identify AI service destinations.
    2
    Audit Assess the risk agreement of identified apps (Terms of Service).
    3
    Define Policy "Allow ChatGPT Enterprise", "Block standard ChatGPT", "Allow Perplexity for research".
    4
    Enforce Agent deploys browser plugin or proxy rules to intercept traffic.
    5
    Protect Blocks PII submission attempts while allowing benign prompts.

    Available Integrations

  • Network: Zscaler, Netskope, Cloudflare Gateway.
  • Endpoint: CrowdStrike, Microsoft Defender.
  • Browser: Chrome/Edge Enterprise management.

    • *Note: Hunto AI also customizes each agent, integrations, activity, and output as required by the security teams in different industries.*

    Expected Output

  • Full Visibility: A complete list of "Shadow AI" apps in use across the org.
  • Data Sovereignty: Assurance that specialized IP isn't leaking into public model training sets.
  • Policy Compliance: Automated limitation of high-risk tools.
  • Safe Innovation: Enabling employees to use AI safely rather than banning it outright.