Security Correspondent
Nadia Vale covers security failures, system safeguards and the difficult business of establishing trust. Her beat connects technical disclosures with their consequences for users and institutions. She favors specific threat models over sweeping claims that a system is safe or unsafe.
1,019 published articles · Showing 361–380
New research reveals the persistent challenges and inherent computational limits confronting artificial intelligence in accurately modeling and predicting complex real-world phenomena, from autonomous vehicle environments to tropical cyclone trajectories and wildfire propagation....
Read article →New research published today on arXiv CS. AI details a significant advancement in the application of artificial intelligence across critical industrial and engineering domains....
Read article →New research released on arXiv details significant advancements in generative AI, from high-fidelity multimodal face synthesis and ultra-fast 4D content generation to automated knowledge graph creation for security systems. These developments expand AI's operational footprint int...
Read article →Healthcare data giant CareCloud has confirmed a security incident earlier in March, where hackers accessed a repository of patient medical records. This compromise, affecting a provider serving over 45,000 healthcare entities and millions of patients, underscores the pervasive vu...
Read article →The digital landscape is undergoing rapid reconfiguration, with significant business moves in both the fitness and artificial intelligence sectors signaling an expansion of potential cyber threat vectors. A substantial $7....
Read article →Two recent arXiv preprints, published March 31, 2026, introduce advanced artificial intelligence methods for spectral analysis, promising enhanced data decomposition and topological insights. While these theoretical advancements aim to refine analysis in complex systems, their in...
Read article →The enterprise AI landscape is shifting from generalized large language model (LLM) enhancements to domain-specific intelligence, a pivot that introduces significant new attack surfaces through direct integration with corporate communication platforms. While promising efficiency,...
Read article →Amazon has concluded its "Big Spring Sale," which featured significant discounts on various charging accessories and smart home devices. While presented as consumer-friendly deals, the strategic pricing, particularly on Govee Smart A19 LED Light Bulbs and charging solutions from ...
Read article →Iran’s Islamic Revolutionary Guard Corps (IRGC) has issued an explicit cyberattack threat against major US tech firms, including Apple, Google, and Microsoft, with operations slated to commence on April 1 Wired. This immediate and direct declaration of intent for kinetic cyber ac...
Read article →The full 512,000 lines of source code for Claude Code CLI have been leaked, attributed to an exposed map file Ars Technica. This critical exposure highlights a fundamental flaw in the security posture of AI development and deployment, occurring as enterprises navigate an unpreced...
Read article →Federated Learning (FL), despite its rapid adoption and perceived privacy advantages, is critically vulnerable to backdoor attacks that compromise the integrity and reliability of global AI models. Recent research from arXiv highlights this systemic vulnerability, where malicious...
Read article →A new academic paper published on arXiv outlines a conceptual approach to autonomous cyber defense, leveraging Multi-Agent Deep Reinforcement Learning (MADRL) and Multi-Agent Actor-Critic algorithms. The research, titled "Multi-Agent Actor-Critics in Autonomous Cyber Defense," pr...
Read article →Artificial intelligence is rapidly reconfiguring foundational layers of both enterprise application development and critical infrastructure management, marking a dual front in AI’s accelerating integration. Today, Softr launched an AI-native platform designed to enable non-techni...
Read article →Recent research published on arXiv CS. AI reveals a critical vulnerability in the core mechanism of deep learning models used for medical applications: inherent non-determinism during training arXiv CS....
Read article →The landscape of data scarcity and privacy in critical applications is being rapidly reconfigured by new advancements in synthetic data generation. Recent research published on arXiv CS....
Read article →The fundamental reliance on Optical Character Recognition (OCR) as a critical component of document digitization infrastructure has long contended with a significant systemic vulnerability: the prohibitive computational cost of domain adaptation for advanced models. New research ...
Read article →The proliferation of AI coding agents, while promising enhanced productivity, is simultaneously introducing new, critical vulnerabilities in software maintainability and smart contract integrity. Recent research published on arXiv CS....
Read article →New research published on arXiv introduces a multimodal deep learning approach for staging Diabetic Foot Ulcers (DFU) using integrated RGB and thermal imaging, deployed on a Raspberry Pi-based portable system arXiv CS. LG....
Read article →Two recent research papers, published today on arXiv CS. LG, identify and propose solutions for fundamental challenges in large language model (LLM) scaling stability and the conditional reliability of AI predictions....
Read article →New research published on arXiv CS. AI details the introduction of two significant AI models: LAD (Language-Action Planner) for autonomous driving and ViPRA (Video Prediction for Robot Actions) for general robotics....
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