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Shadow AI Discovery & Risk Assessment

Shadow AI Discovery & Risk Assessment

The rapid adoption of Artificial Intelligence tools across organizations has introduced a new and often invisible risk layer known as Shadow AI. Shadow AI refers to the unauthorized or unmanaged use of AI platforms, models, and automation tools by employees without the knowledge or approval of the IT or security teams.

Employees may use public AI platforms, AI coding assistants, data analysis tools, or automation bots to improve productivity. However, these tools can unintentionally expose sensitive business data, intellectual property, source code, customer information, and confidential documents to external AI systems.

Without visibility and governance, organizations face risks such as data leakage, regulatory violations, model manipulation, and uncontrolled third-party data processing.

The Shadow AI Discovery & Risk Assessment Service by i6 Security Solutions helps organizations identify hidden AI usage, evaluate associated security risks, and establish a governance framework to safely adopt AI technologies.

What Our Services Focuses on ?

  • Discover unauthorized AI tools used across the enterprise
  • Identify sensitive data exposure to AI platforms
  • Evaluate AI usage risks and compliance gaps
  • Establish AI governance and control policies
  • Enable secure and controlled AI adoption

Shadow AI Tools Detected

0

Detected via endpoint & SaaS telemetry

Data Exposure Incidents

0

Includes prompt & API leaks

Compliance Gaps

0

Mapped against policy baseline

AI Risk Exposure Level

Analyzing...

Our Methodology

Our Shadow AI Discovery & Risk Assessment follows a structured methodology to ensure comprehensive coverage.

Phase 1 – Discovery & Visibility

In this phase, we identify AI tools being used across the organization.

Activities include:

  • Network traffic analysis to identify AI platform usage
  • Endpoint telemetry analysis
  • Browser extension inspection
  • SaaS usage discovery
  • Cloud access security review
  • API usage monitoring

Phase 2 – AI Risk Mapping

Each discovered AI tool is analyzed for potential risk exposure.

We evaluate:

  • Data shared with the AI platform
  • Vendor security posture
  • Model data retention policies
  • External data training risks
  • Access permissions and integrations

Phase 3 – Data Leakage Assessment

We identify whether sensitive organizational data is being uploaded or processed by AI tools.

Assessment includes:

  • Document and code upload analysis
  • Prompt usage review
  • API interaction review
  • Data classification mapping

Phase 4 – Governance Gap Analysis

We evaluate the organization's readiness for secure AI adoption.

This includes:

  • AI usage policies
  • AI vendor approval processes
  • Secure AI architecture
  • Data protection controls
  • User awareness and training

How We Deliver the Service

Phase 1

Kickoff & Scope Definition

Conduct project kickoff with stakeholders to define the scope, identify departments involved, understand AI usage patterns, and align objectives for the Shadow AI discovery engagement.

Deliverable: Project scope document and engagement plan
Phase 2

Shadow AI Discovery

Deploy discovery techniques to identify AI tools used across the organization including network traffic analysis, endpoint telemetry, SaaS integrations, browser extensions, and API usage.

Deliverable: Inventory of detected AI tools and AI usage map
Phase 3

Risk Analysis

Analyze each discovered AI platform to evaluate potential risks such as data leakage, unauthorized integrations, access permissions, vendor security posture, and compliance impact.

Deliverable: AI Risk Assessment Matrix and risk classification report
Phase 4

Data Exposure Assessment

Review whether sensitive corporate data, source code, internal documents, or confidential information are being shared with AI tools through prompts, uploads, or API integrations.

Deliverable: Sensitive Data Exposure Analysis Report
Phase 5

Governance & Security Recommendations

Provide strategic guidance to implement AI governance, including approved AI tool frameworks, data protection policies, vendor risk management processes, and secure AI adoption guidelines.

Deliverable: AI Governance Framework and Security Recommendations
Phase 6

Executive Reporting & Closure

Present a comprehensive report to leadership outlining discovered Shadow AI tools, associated risks, compliance impact, and recommended mitigation strategies for secure AI usage.

Deliverable: Final Shadow AI Discovery Report and Executive Security Briefing