Thur, Feb 5th 10:30 AM GMT

In this session, we’ll explore:

  • Why cloud-based LLMs introduce hidden privacy, compliance, and security risks
  • The practical differences between LLMs and locally executed SLMs
  • The differences between generative and discriminative AI defence models
  • How in-environment AI eliminates third-party dependencies

As AI becomes embedded across security platforms, many organizations are being asked to trade visibility and control for convenience.

Email content is assessed by third-party models, processed in unknown regions, and exfiltrated outside of the organization’s own security boundaries to third-party cloud platforms and assessed by AI models with third-party dependencies. Libraesva takes a different approach.

We’ll show how Libraesva’s Semantic AI is designed to deliver advanced threat detection without data leaving your control.