Summary
Sophos AI Defense discovers organizational AI use and inspects interactions to help security teams manage sensitive-data exposure.
About
Sophos AI Defense provides visibility into organizational AI use and real-time inspection of AI interactions, supporting security teams in identifying activity and managing potential sensitive-data exposure.
Sophos AI Defense identifies AI tools used by employees and applications, including tools that security teams have not approved. It combines endpoint, network, identity, and browser signals to map activity, including who is acting, how the tools are used, and what data is involved. The service inspects prompts, uploads, and other AI interactions in real time. Security teams can access activity through Sophos Fusion workflows, including Sophos XDR and MDR. Sophos announced general availability on October 13, 2026, and states that the product is available now.
Key Features
Identifies AI tools used by employees and applications, including tools not approved by security teams.
Combines endpoint, network, identity, and browser signals to map AI activity.
Provides context about who is acting, how tools are used, and what data is involved.
Inspects prompts, uploads, and other AI interactions in real time.
Makes activity available through Sophos Fusion workflows, including Sophos XDR and MDR.
Real-World Use Cases
Discover unapproved AI use
Identify AI tools used across employee and application activity, including tools not formally approved by security teams.
Monitor AI-related data exposure
Inspect prompts, uploads, and other AI interactions in real time to help security teams assess whether sensitive data is involved.
Investigate AI activity
Use combined endpoint, network, identity, and browser signals to understand who used an AI tool, how it was used, and what data was involved.
Integrate AI activity into security workflows
Make AI-use activity available to security teams through Sophos Fusion workflows, including Sophos XDR and MDR.
Business Opportunities
AI-use governance and risk visibility
Problem: Organizations may lack visibility into which AI tools employees and applications use, including tools not approved by security teams.
Solution: Use activity discovery and contextual signals to help security teams map AI use across endpoints, networks, identities, and browsers.
Estimated ROI: Unknown. Potential value includes improved visibility and more efficient investigation, but financial returns depend on deployment scope, incident reduction, and existing tooling.
Execution: Assess existing Sophos environment and security workflows, establish which AI activity needs monitoring, and incorporate discovered activity into review and response processes.
Sensitive-data exposure monitoring
Problem: Prompts, uploads, and other AI interactions may involve sensitive organizational data, creating a need for timely security review.
Solution: Inspect AI interactions in real time and provide activity context to security teams through Sophos workflows.
Estimated ROI: Unknown. Benefits may include earlier identification of risky activity, but the available context does not establish quantified savings or risk reduction.
Execution: Define sensitive-data review priorities, connect monitoring to existing security workflows, and establish procedures for investigating flagged or relevant activity.