Use case

Bold Security for Enterprise Software

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The Industry Reality

Enterprise software companies are entrusted with sensitive customer data and grant employees legitimate access to customer environments and core intellectual property. Professional services, support teams, and engineers routinely handle production data and proprietary assets.

The primary risk is legitimate access on the endpoint. Once data reaches a device, it can be copied, uploaded to AI tools, or moved to personal accounts beyond the reach of cloud controls.

The Outcome with Bold

Bold prevents customer data leakage from high-access teams, protects engineering IP, and enables secure AI adoption at enterprise scale. For companies built on trust, that control is foundational.

1. Professional Services and Support Teams

These teams access live customer environments, export logs, and handle tenant data daily.

‍Risk: Customer production data is exported locally for debugging and can be copied, uploaded, or stored without centralized visibility.

‍Why Bold is uniquely positioned‍

  • On-device AI classification distinguishes customer tenant data from internal content in real time
  • Prevention happens at the moment of export, copy, upload, or transfer across any application
  • Behavioral baselining detects abnormal cross-tenant access or unusual export volume
  • Control extends beyond browser into local files, desktop apps, screenshots, and AI tools

Bold secures the exact population that has the highest legitimate access and highest potential impact.

2. Engineering and Intellectual Property Protection

Core enterprise value lives in distributed code, architecture, models, and roadmap materials.

‍Risk: Engineers can intentionally or accidentally move proprietary IP into personal tools, AI assistants, or unmanaged storage.

‍Why Bold is uniquely positioned‍

  • On-device classification identifies proprietary code, model artifacts, and technical documentation without static rules
  • Real-time controls govern copy, paste, upload, and transfer across both browser and non-browser channels
  • Role-based behavioral baselining highlights abnormal bulk access or movement of sensitive assets
  • No customer content leaves the device for analysis, preserving engineering trust and privacy

Bold protects distributed IP in high-velocity development environments.

3. AI Governance Without Disrupting Innovation

AI adoption is business-critical across engineering, product, and business teams.

‍Risk: Customer data and proprietary IP are pasted into generative AI tools under time pressure or experimentation.

‍Why Bold is uniquely positioned‍

  • Detects sensitive data before it is submitted to AI tools
  • Context-aware coaching guides users in real time rather than defaulting to hard blocking (with an over 90% successful redirection rate)
  • Policies can differentiate customer data, proprietary IP, and lower-risk content
  • Visibility spans sanctioned and unsanctioned AI tools across the endpoint

Bold enables secure AI usage at scale instead of attempting to prohibit it.

4. Personal Versus Corporate Boundary Control

Enterprise endpoints are oftentimes dual-use environments.

‍Risk: Sensitive data moves into personal Gmail, personal cloud storage, personal AI accounts, or unmanaged tools, often accidentally.

‍Why Bold is uniquely positioned‍

  • Precise distinction between corporate and personal accounts and destinations
  • Real-time prevention of sensitive uploads to personal email and storage
  • Governance across copy, paste, screenshots, and local file sharing
  • Visibility into sensitive files stored locally that increase accidental exposure risk

Bold closes the gap most organizations cannot see, where personal context intersects with corporate data.

Turn your endpoint into your security agent
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Turn your endpoint into your AI security agent

See Bold Live