An AI-Powered Chat Application tailored to the needs of the customer SRE team. The solution leveraged advanced technologies to provide seamless integration, data interrogation, and intuitive user experiences.

This case study explores how AI/ML techniques enhanced web infrastructure security through anomaly detection.

Enhancing Security Posture with Snowflake-powered Security Data Lake

Crest Data embarked on transforming the IT helpdesk for a leading technology enterprise. Utilizing advanced LLM Generative AI technology and sophisticated Retrieval-Augmented Generation (RAG) systems, the project aimed to streamline IT support operations significantly. This case study outlines the strategic approach, innovative solutions, and the remarkable outcomes of implementing a state-of-the-art AI chatbot. 

Dataminr’s real-time AI platform detects the earliest signals of high-impact events and emerging risks from within publicly available data. Dataminr delivers alerts to newsrooms using a browser-based web interface, a dedicated mobile app, email alerts and other collaboration platforms, like Slack, MS Teams.

Capture crucial metrics and get insights into the health and operation of the Dell EMC Isilon cluster to identify and resolve issues quickly.

Custom module development to enhance Puppet configuration management capabilities for NetApp E-Series storage devices.

Developed interactive data visualization, automated reports, and daily email updates using Tableau.

The Splunk App for Netscout allows the user to gather benefits of Netscout threat intelligence on Splunk data.

Delivered visualizations for the users to review timely performance and detailed analysis of an array or file systems.

Crest Data collaborated with Netskope to design and develop a horizontally scalable solution that was easy to deploy on customer premises.

Crest Data helped Google to adopt Chronicle GOLD parser to standardize data onboarding for all log sources and the parsing approaches for massive amounts of data.

Built various automated workflows using Azure DevOps based CICD pipelines for the LinkedIn Information Security Team.

Crest Engineering team helps maintain and evolve the tools to address the market’s ever-changing needs and expand their customer base.

This application has capabilities like scanning files and detecting malicious files from a given location.

Crest implemented a UI feature of Category groups for Sonicwall Content Filter Service on Firewalls. Using groups, network activity can be mapped with a group using categories.

Significantly reduced the database management time for their customers, increasing Vertica's footprint on the market.

Crest helped the Splunk Cloud operations team in creating the next-generation automation system at scale.

Crest developed the QRadar App for IntSights integrating IntSight’s Cyber Threat Intelligence and QRadar to rationalize the threat data and surface the targeted attacks which would otherwise be “noise”.

We developed a number of closed and open-source Mission Control Plugins using the plugin framework across CASB, Threat Intel, EDR, VAPT, and Cloud solutions.