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Cybersécurité

Microsoft confirms outage affecting search in Microsoft 365 apps

Microsoft says some users are experiencing issues searching in Microsoft 365 apps, including Outlook on the web, Outlook desktop, SharePoint Online, and OneDrive. [...]

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Cybersécurité

SafePal Hardware Wallet Maker Says Flaw Exposed Data of Nearly 40,000 Customers

SafePal has disclosed that an authorization flaw in an order-tracking plug-in exposed the names, email addresses, shipping addresses, phone numbers, and purchase details of approximately 39,798 customers. The hardware wallet maker said all affected customers were notified individually by email on August 16 from security@safepal.com, with the subject line "[Important] Your…

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Cybersécurité

Microsoft starts removing WMIC tool used by cybercriminals

Microsoft announced that it removed the Windows Management Instrumentation Command-line (WMIC) tool from Windows 11 24H2 and 25H2, as well as from Windows 11 beta builds released this week. [...]

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Cybersécurité

CISA Flags Actively Exploited Ray Flaw That Can Trigger Browser-Based RCE

The U.S. Cybersecurity and Infrastructure Security Agency (CISA) on Monday added a critical flaw impacting Ray to its Known Exploited Vulnerabilities (KEV) catalog, citing evidence of active exploitation. Ray is an open-source, Python-native distributed computing framework designed to scale artificial intelligence and machine learning workloads. As of writing, the GitHub…

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Intelligence Artificielle

Characterizing Rhetorical Misalignment in Decision-Making with Language Models

arXiv:2608.14630v1 Announce Type: new Abstract: Human decision-making is often shaped by a range of well-documented cognitive biases. As large language models (LLMs) become increasingly integrated into high-stakes human-AI decision-making, it is important to understand whether their outputs can amplify potential biases, how this influences human decisions, and crucially,…

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Intelligence Artificielle

Inference-Time Mitigation of Adversarial Political Bias in Large Language Models

arXiv:2608.14629v1 Announce Type: new Abstract: As Large Language Models (LLMs) become the mainstay for information retrieval and summarization tasks, ensuring that they are always non-partisan and invulnerable to political bias is a critical step towards safer and more trustworthy Artificial Intelligence (AI). Current model alignment paradigms, such as reinforcement learning…

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