AI-Native Cybersecurity Platform

The Client

Cequence is a prominent NASDAQ-listed multinational cybersecurity firm based in California. They specialize in the development of cutting-edge zero-trust network and data security solutions. Their innovative products and solutions are at the forefront of safeguarding digital assets, establishing trust in an inherently untrusted digital world, and providing comprehensive data security measures to protect against evolving cyber threats.

Key Outcomes

The solution enabled the deployment of an advanced AI-driven Data Security platform on Google Cloud, elevating data classification and analytics capabilities.
Our MLOps expertise streamlined data management and ingestion, storing raw and feature-engineered datasets in Google BigQuery Data Lakehouse, enhancing the efficiency and scalability of the client's platform.

Business Challenges

The client encountered multifaceted challenges when embarking on the development of a novel data security Software as a Service (SaaS) platform integrated with AI-native threat intelligence. To bolster their data infrastructure, they sought assistance in creating a robust data lake, essential for the efficient processing and analysis of vast volumes of information. Additionally, the client aimed to harness the power of domain-specific Large Language Models (LLMs) to offer their clients generative AI insights, but required expert guidance in designing and implementing these LLMs to enhance the overall capabilities of their platform.

Business Impacts / Key Results Achieved

The client encountered multifaceted challenges when embarking on the development of a novel data security Software as a Service (SaaS) platform integrated with AI-native threat intelligence. To bolster their data infrastructure, they sought assistance in creating a robust data lake, essential for the efficient processing and analysis of vast volumes of information. Additionally, the client aimed to harness the power of domain-specific Large Language Models (LLMs) to offer their clients generative AI insights, but required expert guidance in designing and implementing these LLMs to enhance the overall capabilities of their platform.

Strategy and Solutions

The client encountered multifaceted challenges when embarking on the development of a novel data security Software as a Service (SaaS) platform integrated with AI-native threat intelligence. To bolster their data infrastructure, they sought assistance in creating a robust data lake, essential for the efficient processing and analysis of vast volumes of information. Additionally, the client aimed to harness the power of domain-specific Large Language Models (LLMs) to offer their clients generative AI insights, but required expert guidance in designing and implementing these LLMs to enhance the overall capabilities of their platform.

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