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 21–40
A new wave of research, consolidated in recent arXiv pre-prints, exposes fundamental architectural and operational vulnerabilities within autonomous and multi-agent AI systems. These findings collectively challenge the efficacy of current AI safety paradigms, revealing critical s...
Read article →The electric vehicle sector navigates contrasting market realities this week, with Rivian setting June 9 for the first customer deliveries of its critical R2 SUV, while Ferrari faces significant brand and market backlash over the polarizing design of its new Luce EV sedan. Rivian...
Read article →The Glassworm botnet, a sophisticated infrastructure used to compromise open-source software projects and target their developers, has been dismantled through a joint operation by CrowdStrike and Google TechCrunch. This takedown disrupts a potent supply chain attack vector that d...
Read article →The trajectory of AI in software engineering continues its rapid ascent, with new research demonstrating progress in both interpreting legacy code and optimizing new code generation. These advancements, while promising accelerated development and system modernization, simultaneou...
Read article →New research published on arXiv CS. AI reveals three distinct, AI-driven approaches to fortify cybersecurity defenses, addressing critical vulnerabilities in Software-Defined Networking (SDN), autonomous agent adaptability, and Internet of Things (IoT) intrusion detection....
Read article →Recent research published on arXiv CS. AI on May 27, 2026, reveals an intensifying focus on AI-driven optimization, particularly utilizing Large Language Models (LLMs) and Deep Reinforcement Learning (DRL), across critical sectors from logistics to Integrated Circuit (IC) design....
Read article →New research from arXiv unveils significant advancements in AI's capacity for high-fidelity image and video synthesis, highlighted by the introduction of Kandinsky 5. 0, a suite of foundation models capable of generating high-resolution imagery and 10-second videos arXiv CS....
Read article →Pope Leo XIV has issued his inaugural encyclical, "Magnifica Humanitas," an unprecedented declaration directly confronting the societal implications of Artificial Intelligence. The Vatican's decision to host AI developer Anthropic at the encyclical's presentation signals an allia...
Read article →The digital battlefield continues to expand, with recent incidents—including a critical infrastructure breach affecting the Los Angeles transit system, the persistent implications of stolen state-sponsored hacking tools, and a significant personal data exfiltration event—undersco...
Read article →The global landscape of artificial intelligence is marked by a dangerous dichotomy: while public discourse remains fixated on speculative economic displacement, the reality of autonomous warfare is already a deployed, active threat. Reports indicate that the theoretical 'killer r...
Read article →A significant wave of new research from arXiv CS. LG, published today, 2026-05-26, reveals a stark dichotomy in AI development: while groundbreaking methods push the boundaries of model efficiency and performance, an equally critical body of work exposes fundamental vulnerabiliti...
Read article →The push to integrate artificial intelligence into critical medical diagnostics faces fundamental challenges in reliability and operational integrity. Recent research published on arXiv CS....
Read article →The escalating reliance on persistent memory within large language model (LLM) agents has exposed a critical vulnerability: adversarial users can inject malicious records to manipulate an agent's reasoning and actions. This insidious TTP creates a "Misattribution Gap," where memo...
Read article →The rapid deployment of reinforcement learning (RL) agents into dynamic, multi-actor environments is being met with a concurrent rise in sophisticated adversarial evaluation techniques, according to a cluster of research papers published today on arXiv. This dual progression high...
Read article →Recent advancements in Reinforcement Learning (RL) are pushing the boundaries of AI capabilities, particularly in Large Language Models (LLMs) and generative systems. However, a series of new research papers published on arXiv CS....
Read article →The integrity of Large Language Model (LLM) evaluations is critically compromised by benchmark data contamination, a fundamental flaw undermining reported performance and cross-model comparisons. This systemic issue, detailed in new research from arXiv CS....
Read article →New research published on arXiv details methodologies aimed at rectifying fundamental instabilities and inefficiencies plaguing reinforcement learning (RL) and optimization algorithms. These advances are critical for the robust deployment of AI systems, particularly large languag...
Read article →New research from arXiv CS. AI reveals fundamental security flaws and operational inefficiencies within next-generation autonomous Large Language Model (LLM) agents, challenging the efficacy of their self-evolutionary capabilities and exposing critical new attack vectors....
Read article →The efficacy of software supply chain security has been critically undermined by a sophisticated attack on npm, allowing 633 malicious package versions to bypass Sigstore's provenance verification on May 19. Simultaneously, the physical attack surface of critical orbital infrastr...
Read article →Google has officially appealed the federal ruling that deemed it an illegal search monopolist, asserting its market position was earned legitimately. This legal offensive unfolds concurrently with a critical vulnerability emerging in its new AI Overviews feature, where the simple...
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