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Detailed Security and Enterprise Readiness Report: Cursor AI IDE

~ Harini Kannan ~ 1 Comment

Prepared for: Enterprise AI Teams and AI/Security Leadership Based on: Publicly available information and Cursor's provided documentation from:https://www.cursor.com/security, https://trust.cursor.com/faq and https://trust.cursor.com/ Table of Contents Executive Summary Introduction to Cursor Core Security Architecture and Practices AI Request Processing and Data Handling Codebase Indexing: Functionality and Security Privacy Mode: Guarantees and Implementation Enterprise-Specific Features and Considerations Potential … Continue reading Detailed Security and Enterprise Readiness Report: Cursor AI IDE

Building an AI 10-Q Analyzer: Part 3 | Evaluating Results and Insights using O1-mini -using 10Qs from Microsoft and Rigetti

~ Harini Kannan ~ 1 Comment

Read Part 1 here. Read Part 2 here. In the dynamic world of financial analysis, the ability to swiftly and accurately interpret complex quarterly filings like the SEC’s Form 10-Q is invaluable. To address this need, I developed an AI-driven pipeline leveraging the Google/flan-t5-base model, Retrieval-Augmented Generation (RAG), and Named Entity Recognition (NER). Recently, I … Continue reading Building an AI 10-Q Analyzer: Part 3 | Evaluating Results and Insights using O1-mini -using 10Qs from Microsoft and Rigetti

Building an AI 10-Q Analyzer: Part 2 | Navigating the Pros and Cons of Structured Output from 10-Q Systems

~ Harini Kannan ~ 2 Comments

Read Part 1 here. Introduction In the realm of financial analysis, structured data extraction from complex documents like SEC 10-Q filings can revolutionize how investors make decisions. The 10-Q Analyzer project leverages AI to automate this process, but like any technological solution, it comes with its own set of advantages, disadvantages, and challenges. This blog … Continue reading Building an AI 10-Q Analyzer: Part 2 | Navigating the Pros and Cons of Structured Output from 10-Q Systems