Menu

eScan AI Platform Data Protection

Protect your critical business data with eScan’s next-gen AI Platform. Harnessing the power of artificial intelligence, it delivers proactive protection, automated data classification, and real-time threat response—ensuring your information stays safe and compliant.

The artificial intelligence revolution has transformed how organizations approach productivity, creativity, and problem-solving. Tools like ChatGPT, Claude, and Gemini offer unprecedented capabilities for document analysis, content generation, and process automation. However, this powerful technology introduces significant security challenges—particularly when employees inadvertently share confidential information, intellectual property, or sensitive data with AI platforms that may not meet enterprise security standards. eScan's AI Platform Data Protection bridges this gap, enabling organizations to harness AI's productivity benefits while maintaining strict control over sensitive information.

Comparison between uncontrolled AI platform usage where sensitive data flows freely to external services versus eScan's protected environment where sensitive information is filtered and blocked while maintaining productive AI capabilities.
eScan's AI Platform
eScan's AI Platform Data Protection

What is AI Platform Data Protection?

eScan's AI Platform Data Protection is a comprehensive security solution designed specifically to address the unique challenges of AI tool usage in enterprise environments. As organizations increasingly adopt generative AI tools for various business functions, traditional security measures prove inadequate for the new data sharing paradigms these platforms create.

The solution provides granular control over what information can be shared with AI platforms, distinguishing between legitimate business use cases and potentially risky data exposure scenarios. Unlike blanket blocking approaches that eliminate productivity benefits, this technology enables secure AI adoption by monitoring data flows, enforcing corporate policies, and preventing unauthorized use of personal AI accounts for business purposes.

By focusing on data classification and context-aware controls, eScan ensures that employees can leverage AI tools for approved tasks while preventing sensitive information from leaving the organization's security boundaries. This approach maintains data sovereignty—the principle that organizations retain control over their information regardless of which external services they use.

How eScan AI Platform Data Protection Works

eScan's AI Platform Data Protection employs advanced technologies to provide comprehensive yet flexible control over AI platform interactions:
Real-Time Content Analysis

Real-Time Content Analysis

The system analyzes all data being uploaded or shared with AI platforms in real-time, using advanced content classification algorithms to identify sensitive information including:
• Financial data and proprietary business information
• Customer records and personally identifiable information
• Intellectual property and trade secrets
• Confidential communications and strategic documents
• Regulatory compliance-sensitive information

Platform-Specific Monitoring

Platform-Specific Monitoring

The solution recognizes and monitors interactions with all major AI platforms including:
• ChatGPT (OpenAI)
• Claude (Anthropic)
• Google Gemini (formerly Bard)
• Microsoft Copilot
• Bing Chat
• Custom enterprise AI deployments

Account Verification and Control

Account Verification and Control

The system distinguishes between corporate-managed AI accounts and personal accounts, enforcing policies that prevent the use of personal AI services for business data while allowing approved corporate AI subscriptions to function normally.

Multi-Application Coverage

Multi-Application Coverage

Protection extends across all common access methods:
• Web browsers accessing AI platforms
• Standalone AI applications
• Browser extensions and plugins
• Mobile applications
• API integrations

Context-Aware Policy Enforcement

Context-Aware Policy Enforcement

Policies can be customized based on user roles, departments, data types, and specific AI use cases. For example, marketing teams might be permitted to use AI for content creation while being blocked from sharing customer databases.

Intelligent Redaction and Filtering

Intelligent Redaction and Filtering

Rather than simply blocking entire interactions, the system can selectively redact sensitive portions of documents or communications, allowing employees to leverage AI capabilities while protecting confidential information.

eScan File Attachment Block's working process, showing file interception at application level, real-time content inspection, file type filtering, and policy enforcement before allowing or blocking transfers.

Why Your Organization Needs AI Platform Data Protection

The Explosive Growth of AI Tool Usage

The adoption of AI tools in enterprise environments has accelerated dramatically, creating new security challenges that traditional data protection measures weren't designed to address:

  • 75% of organizations report employees using AI tools for work-related tasks
  • 89% of employees have used personal AI accounts for business purposes
  • Only 23% of companies have implemented specific controls for AI platform usage
  • 67% of IT leaders express concern about data exposure through AI tools
  • Average enterprise uses 12+ different AI-powered services across various departments

The rapid adoption of AI tools has outpaced security measure implementation, creating significant gaps in data protection:

Critical Risks of Uncontrolled AI Usage

  • Inadvertent Data Exposure: Employees often share sensitive information with AI platforms without fully understanding the implications. Documents containing confidential information, customer data, or intellectual property may be processed by external AI services and potentially retained in their training datasets.
  • Personal Account Usage: When employees use personal AI accounts for business tasks, organizations lose visibility and control over where their data is processed and stored. This creates significant compliance and security risks.
  • Regulatory Compliance Violations: Many industries have strict requirements about where and how sensitive data can be processed. Uncontrolled AI usage can violate regulations like GDPR, HIPAA, SOX, and industry-specific compliance requirements.
  • Intellectual Property Risks: Sharing proprietary algorithms, business strategies, or innovative ideas with AI platforms may compromise competitive advantages and intellectual property rights.
  • Supply Chain Vulnerabilities: AI platforms represent new third-party relationships that may not meet enterprise security standards, potentially creating vulnerabilities in the organization's supply chain security.
Comprehensive monitoring dashboard showing eScan's AI Platform Data Protection actively managing and controlling access to multiple AI platforms with real-time policy enforcement and granular departmental controls.

Business Impact of eScan AI Platform Data Protection

Key Benefits and Differentiators

Comprehensive AI Platform Coverage

Comprehensive AI Platform Coverage

Unlike solutions that focus on specific AI services, eScan's AI Platform Data Protection monitors and controls interactions across all major AI platforms including ChatGPT, Claude, Gemini, and emerging AI services. This comprehensive coverage ensures consistent protection regardless of which AI tools your organization adopts.

Intelligent Content Classification

Intelligent Content Classification

The solution goes beyond simple keyword matching to understand document context, data sensitivity, and potential risk levels. This intelligent analysis enables precise control decisions that balance security with productivity.

Granular Policy Controls

Granular Policy Controls

Administrators can create sophisticated policies based on user roles, departments, data types, and specific AI use cases. This granularity allows organizations to enable productive AI usage while maintaining strict controls over sensitive information.

Seamless User Experience

Seamless User Experience

Rather than blocking AI tools entirely, the solution provides clear guidance when content is restricted, helping users understand appropriate AI usage while maintaining productivity. This approach reduces shadow IT and encourages compliance.

Enterprise-Grade Audit Trail

Enterprise-Grade Audit Trail

All AI platform interactions are thoroughly documented, creating comprehensive audit trails for compliance purposes and security investigations. This visibility helps organizations demonstrate due diligence in protecting sensitive information.

Multi-Modal Protection

Multi-Modal Protection

The solution protects against data exposure through various channels including direct uploads, copy-paste operations, screen sharing, and file attachments, ensuring comprehensive coverage of AI interaction methods.

Adaptive Learning

Adaptive Learning

The system continuously learns from organizational patterns and policy decisions, improving its classification accuracy and reducing false positives over time while maintaining robust protection.

Technical Specifications

Supported AI Platforms

  • ChatGPT (OpenAI)
  • Claude (Anthropic)
  • Google Gemini/Bard
  • Microsoft Copilot
  • Bing Chat
  • Perplexity AI
  • Microsoft 365 Copilot
  • Google Workspace AI
  • Salesforce Einstein
  • Adobe Sensei
  • Custom enterprise deployments
  • GitHub Copilot
  • Tabnine
  • Amazon CodeWhisperer
  • Replit AI
  • Various coding assistants
  • Personally Identifiable Information (PII)
  • Protected Health Information (PHI)
  • Financial and payment data
  • Intellectual property markers
  • Confidential document classifications
  • Custom organizational data patterns
  • Regulatory compliance data types
  • Endpoint agent deployment
  • Network-level monitoring
  • Browser extension integration
  • Proxy server implementation
  • Cloud-based management
  • Hybrid architecture support
  • Single Sign-On (SSO) compatibility
  • Identity Provider (IdP) integration
  • SIEM/SOAR platform connectivity
  • DLP policy synchronization
  • Zero Trust Architecture support
  • API-based management
  • Centralized policy administration
  • Role-based access control
  • Real-time monitoring dashboard
  • Automated alert generation
  • Custom reporting tools
  • Incident response workflows
  • Content analysis latency: <100ms
  • False positive rate: <0.5%
  • Platform coverage: 99.9% of major AI services
  • User impact: Minimal (transparent operation)
  • Scalability: Supports 10,000+ concurrent users

Embrace AI productivity without compromising data security.

Request a personalized demonstration of eScan's AI Platform Data Protection to see how your organization can safely leverage AI tools while maintaining complete control over sensitive information.

Discover why leading organizations across technology, healthcare, financial services, and consulting sectors trust eScan's AI Platform Data Protection to enable secure AI adoption while preventing data exposure and maintaining regulatory compliance.
Protect your sensitive information without impeding productivity
Live Chat
Top