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 221–240
The proliferation of AI agents into complex workflows and decision-making systems is accelerating rapidly, yet the foundational security and accountability frameworks required to manage them are critically underdeveloped. A flurry of new research, uniformly published on April 28,...
Read article →A critical supply chain compromise has been identified with the element-data open-source package, impacting millions of users through credential theft, while simultaneously, advanced AI systems are demonstrating an unsettling capacity to uncover previously unknown vulnerabilities...
Read article →Google has reportedly finalized a classified agreement allowing the U. S....
Read article →The inherent risks within advanced AI systems have been illuminated by new research, specifically highlighting how current approaches in reinforcement learning can lead to "unsafe, unethical, or misaligned behaviours" if left unconstrained arXiv CS. LG....
Read article →A new research paper details the development of a large language model (LLM)-enabled pipeline designed for automated data extraction and structuring from unstructured scientific literature arXiv CS. LG....
Read article →A recent surge in academic output on April 28, 2026, saw multiple research papers published on arXiv CS. LG, fundamentally addressing critical limitations within machine learning optimization and search algorithms....
Read article →Four distinct research papers, simultaneously released on arXiv CS. LG, signal a critical advancement in applying Artificial Intelligence to environmental monitoring and climate modeling....
Read article →The integration of machine learning (ML) into microwave engineering, traditionally reliant on analytical methods and intuition, signals a significant shift in system design. A recent paper from arXiv CS....
Read article →A new wave of machine learning research, published today on arXiv CS. LG, reveals critical limitations in artificial intelligence capabilities, particularly regarding the replication of nuanced human opinion and performance in complex combinatorial optimization....
Read article →Recent research published on arXiv CS. LG signifies a critical pivot in the evolution of artificial intelligence: a concerted, granular effort to fortify the reliability and robustness of machine learning models across scientific, medical, and industrial applications....
Read article →The initial phase of the courtroom battle between Elon Musk and Sam Altman, concerning alleged broken promises at OpenAI, has commenced with jury selection. This critical procedural step immediately revealed a significant challenge: widespread negative public sentiment towards Mu...
Read article →Autonomous agent systems, particularly those like OpenClaw, are facing a critical juncture: the relentless pursuit of computational efficiency often directly conflicts with the necessity for robust, calibrated algorithmic performance. New research published today on arXiv undersc...
Read article →Artificial intelligence may be dominating boardroom agendas, but enterprise leaders are discovering that the primary obstacle to meaningful adoption is the fundamental state of their data infrastructure MIT Tech Review. This foundational weakness is not merely an efficiency bottl...
Read article →The extradition of Xu Zewei, an individual accused of participating in a Chinese government hacking group, to the United States coincides with a reported breach at Itron, a major provider for critical energy and water infrastructure. These concurrent events underscore the relentl...
Read article →Two new research papers published on arXiv CS. AI on April 27, 2026, detail advancements aimed at developing more general and parallel AI problem-solving capabilities....
Read article →The architecture of autonomous AI agents is undergoing critical evolution as new research addresses fundamental limitations in reasoning transparency, memory management, and goal recognition. Three distinct papers, published concurrently on arXiv CS....
Read article →A novel AI approach dubbed "Wiggle and Go! " has been introduced, designed to significantly improve a robot's ability to manipulate dynamic, deformable objects like ropes without extensive prior real-world data....
Read article →Recent academic releases on arXiv detail significant progress in Reinforcement Learning (RL), addressing critical limitations that have hindered its deployment in complex, real-world sequential decision-making. These papers collectively signal a shift towards more adaptive, robus...
Read article →The latest advancements in artificial intelligence research, while pushing boundaries in data interpretation and representation, simultaneously highlight persistent vulnerabilities and emerging attack surfaces within critical systems. New work from arXiv CS....
Read article →New research published on arXiv CS. AI reveals a significant vulnerability in emerging AI systems designed for behavioral health and psychiatry: a fundamental lack of reliable evaluation metrics for multi-agent Large Language Model (LLM) pipelines tasked with assessing self-harm...
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