HaystackID, a specialized eDiscovery services firm that caters to law firms and corporate legal departments, has recently unveiled the expansion of its Protect Analytics AI Suite. This suite, powered by artificial intelligence (AI), is designed to enhance the efficiency and effectiveness of identifying, analyzing, and reporting sensitive information within extensive, unstructured datasets. Through the utilization of the upgraded suite, which encompasses Protect Analytics AI – Sensitive Data Identification, Protect Analytics AI – Entity Extraction, and Protect Analytics AI – Deploy, the company aims to transform cybersecurity-centric incident responses, breach investigations, and notification procedures by significantly reducing the time needed to obtain precise insights and take essential actions.
Launched in 2022, the Protect Analytics AI Suite has been lauded for its innovative excellence in various industry accolades such as the Relativity Innovations Awards program and the Legalweek Leaders in Tech Law Awards program. This suite provides a range of vital services and functionalities, including:
- Protect Analytics AI – Sensitive Data Identification: Introduced in 2022, this service utilizes AI algorithms to identify and categorize sensitive data across diverse document types and datasets.
- Protect Analytics AI – Entity Extraction: Expected to launch in Q1 2024, this service leverages generative AI techniques to detect, extract, or mask entities like signature blocks, names, places, organizations, and other relevant information from datasets. This capability is particularly beneficial for compliance checks, due diligence, cyber incident response, and legal discovery.
- Protect AI – Deploy: Anticipated to be accessible in Q2 2024, this service allows for the deployment of Protect Analytics AI’s engine within a client’s infrastructure, reducing data transfer times and providing increased customization and control over the data analysis process. By integrating HaystackID’s analytics directly into the client’s environment, this service enhances data security and processing efficiency.
Michael Sarlo, Chief Innovation Officer and President of Global Investigations & Cyber Incident Response Services at HaystackID, underscored the escalating complexity of data and security challenges in today’s technological landscape. He emphasized the significance of advanced cybersecurity tools like the Protect Analytics AI Suite in tackling these issues and ensuring swift, accurate analysis to bolster data protection.
The Protect Analytics AI Suite offers cross-functional features enabled by custom development and multimodal integration of leading AI and large language model (LLM) tools, including:
- Interactive Visualizations: Integration with tools like Microsoft Power BI enables users to interact with data visualizations, facilitating prompt and efficient analysis of sensitive data.
- Customizable Risk Categories: The suite enables the classification of sensitive data into customizable risk categories, aiding in prioritizing data breach notifications and managing overall risk exposure.
- Sensitive Data Density Scoring: This feature computes a density score for sensitive data within documents, directing focus to critical areas within datasets promptly.
- Containerized Deployment: The Protect Analytics AI Suite can be deployed in a containerized environment, ensuring adaptability and scalability to align with various IT infrastructures and workflows.
John Brewer, Chief Artificial Intelligence Officer and Chief Data Scientist at HaystackID, highlighted the company’s dedication to technological progress through the integration of generative AI capabilities into the Protect Analytics AI Suite. This balanced approach aims to enhance the suite with AI enhancements that complement and elevate eDiscovery and cybersecurity tasks, providing clients with dependable, actionable, and defensible insights.
