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AI

arxiv.org 4 min read

Design Patterns for Securing LLM Agents Against Prompt Injection Attacks

This research paper presents six principled design patterns for building AI agents with provable resistance to prompt injection attacks, demonstrating their practical applicability through ten case studies across diverse …

AI · Security Editorial Team
arxiv.org 4 min read

SWE-Lancer: Evaluating Frontier LLMs on $1 Million Worth of Real-World Software Engineering Tasks

SWE-Lancer introduces a comprehensive benchmark of over 1,400 real freelance software engineering tasks from Upwork worth $1 million USD, evaluating frontier language models on both individual contributor coding tasks …

AI · Development Editorial Team
arxiv.org 3 min read

SpeCrawler: Automated OpenAPI Specification Generation from API Documentation Using Large Language Models

SpeCrawler is a comprehensive system that leverages large language models to automatically generate OpenAPI Specifications from diverse API documentation through a carefully crafted multi-stage pipeline. The system …

AI · Development Editorial Team
cloud.google.com 5 min read

GTIG AI Threat Tracker: Advanced Persistent Threats Weaponize AI for Cyber Operations

Google Threat Intelligence Group reports on the increasing integration of AI by state-sponsored threat actors for reconnaissance, social engineering, and malware development, including model extraction attacks and …

AI · Security Editorial Team
youtube.com 3 min read

AI Market Analysis: Growth, Efficiency, and the Future of Enterprise Technology

A comprehensive analysis of AI market trends showing accelerated revenue growth, improved operational efficiency, and the transformation of both AI-native and traditional companies in the current technology cycle.

AI · Development Editorial Team
facctconference.org 3 min read

Understanding and Mitigating Risks of Generative AI in Financial Services

This research paper presents a domain-specific AI content safety taxonomy for financial services and demonstrates that general-purpose guardrail systems fail to identify most domain-specific risks. The authors evaluate …

AI · Security Editorial Team
arxiv.org 3 min read

Agentic Retrieval of Topics and Insights from Earnings Calls

This paper presents an LLM-agent driven framework for dynamically discovering and organizing financial topics from quarterly earnings calls into a hierarchical ontology. The system enables analysts to track emerging …

AI · Data Editorial Team
arxiv.org 3 min read

FINTAGGING: Benchmarking LLMs for Extracting and Structuring Financial Information

This paper introduces FINTAGGING, the first comprehensive benchmark for evaluating large language models on XBRL tagging tasks, decomposing the complex process into financial numeric identification and concept linking …

AI · Data Editorial Team
arxiv.org 3 min read

OpenAI for OpenAPI: Automated Generation of REST API Specifications via Large Language Models

This paper presents OOPS (OpenAI OpenAPI Project Scanner), a novel LLM-based approach for automatically generating OpenAPI specifications from REST API source code across multiple programming languages and frameworks. …

AI · Development Editorial Team
arxiv.org 3 min read

LLMDFA: Using Large Language Models for Compilation-Free Dataflow Analysis

LLMDFA introduces a novel framework that leverages Large Language Models to perform dataflow analysis on code without requiring compilation, achieving 87.10% precision and 80.77% recall for bug detection. The approach …

AI · Development Editorial Team