Securing Generative AI: How Enterprises Can Govern Workforce Use of Generative AI with SurePath AI

By: Ameya Paldhikar, Partner Solutions Architect – AWS
By: Jurija Metovic, Vice President of Growth & Marketing – SurePath AI
By: Jim Melton, Vice President of Alliances – SurePath AI

SurePath AI

Generative Artificial Intelligence (Gen AI) is transforming how work gets done across enterprises, with employees rapidly adopting Gen AI tools to boost productivity and streamline workflows. The workforce usage of public AI models requires unique security considerations that traditional approaches struggle to address. Employees, focused on productivity gains, can overlook where their data is going or what risks they are introducing including:

Data Exposure and Intellectual Property Risks: Public models can use sensitive data entered by employees to train those public models. This means proprietary information could resurface in outputs to other users, including competitors, creating intellectual property exposure.

Compliance and Regulatory Violations: Organizations have the responsibility to control and govern Gen AI usage to facilitate compliance with GDPR, HIPAA, and SOC 2 etc. regulations.

Shadow AI and Unmonitored Usage: Unapproved Gen AI tool usage by employees creates “shadow AI”. This unauthorized, untracked usage can expose organizations to data vulnerabilities and risks while reducing visibility into AI interactions.

Information Accuracy and Decision-Making Risks: When employees rely on inaccurate or misleading information generated by AI without proper verification, it can lead to poor business decisions.

Current security approaches prove inadequate for the evolving workforce use of Gen AI. Point solutions like endpoint protection and browser plugins provide only partial coverage, leaving security teams without visibility into how Gen AI is being used across the organization and where sensitive data is flowing.

This post explores how organizations can address these challenges and implement robust security frameworks for Gen AI adoption through SurePath AI, enabling safe innovation while helping protect sensitive data, and maintaining regulatory compliance.

SurePath AI: Governing Workforce Use of Generative AI

SurePath AI provides complete visibility and control over Gen AI interactions without disrupting business operations. SurePath AI secures Gen AI usage at the network level instead of relying on endpoint protection or browser-based controls. This approach covers the corporate-administered devices and facilitates holistic oversight.

SurePath AI: Key Capabilities

Sensitive Data Detection and Redaction: SurePath AI helps prevent unintended disclosure of sensitive data by detecting and redacting confidential information before it reaches external AI models. The solution integrates with existing identity management systems to enforce role-based policies and creates dynamic guardrails that adapt to organizational security requirements.

Complete Visibility and Compliance: The system captures and records AI interactions with detailed risk tagging, providing audit trails necessary for regulatory compliance. SurePath AI uses synthetic data remediation techniques to help prevent exposure of sensitive details. The system also maintains operational insights into user activity, policy enforcement, and security threats.

AI Access Insights and Analytics: SurePath AI provides an intuitive dashboard that captures and visualizes Gen AI interactions with comprehensive analytics tracking, providing insights for operational monitoring. The dashboard provides usage patterns across teams and helps organizations understand user intent and spot areas where additional support might be needed.

Enabling Safe Adoption: By deploying at the network edge, SurePath AI intercepts AI traffic without disrupting business operations. This approach brings shadow AI into a controlled, compliant environment while balancing user productivity with enterprise security requirements. The solution enables organizations to move beyond restrictive policies toward governed, productive AI usage.

Enterprise Integration: SurePath AI integrates with existing security infrastructure including DLP systems, SIEM systems, and identity management solutions. This integration provides a unified control plane for Gen AI governance that aligns with established security frameworks and organizational policies.

Solution overview

Note: The SurePath AI components in the architecture above work together as one unified solution. The components are pre-configured to work together, and customers don’t need to set up these components separately.

1. Enterprise Integration with Secure Access Service Edge (SASE) and Mobile Device Management (MDM)
   SurePath AI integrates seamlessly with major SASE providers (including Netskope, Zscaler, Palo Alto Prisma Access, and Cloudflare) and MDM solutions (such as Microsoft Intune, JAMF, and Google Workspace) to enable comprehensive Gen AI governance. Through cloud-to-cloud SASE integration and Proxy Auto-Configuration (PAC) file deployment via MDM, SurePath AI makes sure that Gen AI traffic is securely routed through its system while maintaining existing security controls and optimal user experience. Both integration methods utilize domain lists to selectively forward only Gen AI traffic to SurePath AI, facilitating efficient processing and minimal impact on other network traffic.
2. SurePath AI Edge Service
   Endpoint security tools route traffic destined for specific Gen AI domains to the SurePath AI edge service.
3. SurePath AI Processing
   SurePath AI Edge Service routes the traffic to the SurePath AI Processing tier, which provides multiple features:
   • Policy Application: SurePath AI applies policies through a combination of organization-wide Default Policy and targeted Group Policies synchronized from your organization’s directory. This enables granular control over Gen AI model access. Security teams can define model-specific rules based on user roles, data sensitivity, or business function, and enable dynamic model routing based on policy context (See Figure 5 below). Policies also enable you to allow or block the prompts sent to public LLMs. Additionally, you can configure policies to redirect prompts intended for public LLMs to the SurePath AI Private Portal. This enables safe adoption of Gen AI while maintaining regulatory compliance.
   • Intent Detection: Gen AI interactions are evaluated to detect how users are leveraging these tools and accurately categorize the intent of the user prompts.
   • Risk Evaluation: SurePath AI evaluates each interaction to detect the risk level, acting as a smart filter for GenAI interactions. It identifies sensitive information and redacts it, making sure your team gets the answers they need without exposing sensitive data to public Gen AI models.
   • Context Data Insertion: When users are granted access to enterprise data sources, their private model interactions through SurePath AI are automatically enriched with only the relevant data or context that they have permissions to. This delivers personalized, policy-aligned insights for tasks like crafting product emails or answering company-specific questions.
   • Telemetry: SurePath AI supports telemetry export to Amazon S3 buckets, enabling integration with reporting tools, business intelligence systems, or SIEM solutions for unified security monitoring. Security teams can monitor trends, usage patterns, overall risk metrics, and many other key indicators through intuitive dashboards.
4. SurePath AI Egress
   Once the appropriate policies are applied and risk mitigation is performed; the user prompt is then forwarded to the allowed public Gen AI models.
5. SurePath AI Private Portal
   SurePath AI Private Portal provides an interface that integrates your organization’s private AI models with enterprise data to deliver personalized, policy-compliant insights for business tasks. The portal can be customized to your company’s branding and takes on your company’s look and feel, from logos to color schemes. Your workforce gets a familiar Gen AI experience that fits seamlessly into your existing workflows, boosting adoption and confidence. In the backend, SurePath AI portal allows you to leverage the Amazon Bedrock integration to add private models in minutes.
6. Amazon Bedrock Integration
   SurePath AI’s private portal integrates seamlessly with Amazon Bedrock, providing organizations access to the latest foundational models. This capability creates a secure and trusted environment for Gen AI usage while maintaining complete control over an organization’s data. SurePath AI policy governs which external or public Gen AI services like ChatGPT or Google Gemini can be accessed by users. When users attempt to access disallowed services, requests can be intelligently redirected to approved alternatives or to the organization’s SurePath AI private portal which is integrated with Amazon Bedrock for private model access.

Conclusion

As Gen AI continues to revolutionize enterprise workflows, organizations face a critical choice: embrace and govern AI adoption strategically or risk falling behind while trying to restrict it. The key to success lies not in limiting AI use, but in implementing governance that enables innovation while helping protect the organization’s data.

SurePath AI, particularly through its integration with Amazon Bedrock, offers a practical solution to this challenge by providing:

• Enterprise-wide visibility and control over AI interactions
• Risk mitigation by helping protect sensitive data
• Seamless integration at the network level
• Flexible policy management that adapts to organizational needs
• Secure access to both public and private AI models

The future of enterprise AI adoption doesn’t have to be a choice between security and productivity. With the right governance framework in place, organizations can harness the full potential of Gen AI while maintaining security controls and compliance standards.

Learn more about SurePath AI in the AWS Marketplace or contact the team for a demo at SurePath AI website.

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SurePath AI – AWS Partner Spotlight

SurePath AI is an AWS Advanced Technology Partner that provides an enterprise-grade solution for governing the use of generative AI across your workforce. SurePath AI provides risk mitigation for public GenAI services, oversight for private models, and control over access to sensitive data sources – all managed through a unified policy engine.

Contact SurePath AI | Partner Overview | AWS Marketplace