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Brief

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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. A practical guide to prompt engineering for structured data extraction

    This tutorial details a method for extracting structured data from unstructured text, specifically focusing on cybersecurity advisories. It outlines a process using the OpenAI API, Pydantic for schema definition and validation, and the `tenacity` library for retry logic. The guide covers system prompt design, few-shot examples, and handling ambiguous fields to reliably parse information like CVE IDs, affected products, and remediation steps into a JSON format. AI

    IMPACT Provides a practical framework for leveraging LLMs in cybersecurity for structured data extraction, improving efficiency and accuracy in analyzing advisories.

  2. Introducing Replit Auto-Protect

    Replit has launched Auto-Protect, a new feature designed to automatically identify and help developers patch vulnerabilities in their project dependencies. When a critical CVE is disclosed, Replit Agent will check the project's dependencies, prepare a patch, and notify the user via email with a direct link to apply the fix. This aims to streamline the security update process, allowing developers to secure their applications with minimal effort. AI

    Introducing Replit Auto-Protect

    IMPACT Streamlines security updates for developers, reducing manual effort in managing dependencies and patching vulnerabilities.