Introducing eSentire Labs and eSentire LLM Gateway

Introducing eSentire Labs and eSentire LLM Gateway

By Stefania Viscusi

eSentire, a provider of Managed Detection and Response (MDR) solutions has introduced eSentire Labs to foster innovation at eSentire.

The lab is a place to come up with new ideas. Everyone from the Threat Response Unit, Security Operations Center, or the engineering teams contributes. Prototypes to test the ideas are then made.

As part of its debut, eSentire Labs has announced an open-source implementation framework to empower global security teams to optimize the governance and monitoring of Large Language Models (LLMs) within their operations.

The company works to protect the critical data and applications of 2000+ organizations in 80-plus countries across 35 industries from known and unknown cyber threats using its offerings which include Exposure Management, Managed Detection and Response and Incident Response services.

The new LLM Gateway, available for download on GitHub, makes it possible for security teams to have visibility and control over LLMs like ChatGPT and address crucial aspects of governance and operational monitoring to ensure the secure and effective utilization.

"We are in the midst of a technology revolution where Generative AI is democratizing innovation across organizations of all sizes. But having the right controls is imperative to tap into its power, securely,” said Alexander Feick, VP of eSentire Labs. “We are helping security practitioners take the first step to gaining visibility and control over this exciting innovation with the eSentire LLM Gateway.”

Initially for internal use, the gateway supervised corporate engagement with ChatGPT, Google Bard, and similar Large Language Models (LLMs). As extra controls were added and tailoring, eSentire realized it was a valuable blueprint and made its LLM Gateway open-source. The benefits it provides include:

  • Data Protection: Establishes a safeguarding barrier between corporate data and open AI applications, encompassing ChatGPT.
  • Enhanced Monitoring: Logs all LLM interactions, amplifying monitoring and security oversight. This also reveals essential use cases from both functional and advanced users.
  • Customizable Security: As an open-source framework, security professionals can seamlessly integrate and enforce their own security controls, incorporating corporate policies, usage regulations, and prompts. Additionally, their contributions foster collaboration within the wider cybersecurity community.
  • Guided Visualization: The initial plug-ins of the eSentire LLM Gateway offer fundamental suggestions for visualizing and tracking LLM usage.

Edited by Greg Tavarez
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