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A new species of squid. pretends to be a plant:

Scientists have filmed a never-before-seen species of deep-sea squid burying itself upside down in the seafloor—a behavior never documented in cephalopods. They captured the bizarre scene while studying the depths of the Clarion-Clipperton Zone (CCZ), an abyssal plain in the Pacific Ocean targeted for deep-sea mining.

The team described the encounter in a study published Nov. 25 in the journal Ecology, writing that the animal appears to be an undescribed species of whiplash squid. At a depth of roughly 13,450 feet (4,100 meters), the squid had buried almost its entire body in sediment and was hanging upside down, with its siphon and two long ...

The post Friday Squid Blogging: New Squid Species Discovered appeared first on Security Boulevard.

How Does Agentic AI Revolutionize Healthcare Security? Are you prepared to explore the transformative power of Agentic AI in securing the healthcare industry? The intersection of artificial intelligence and cybersecurity has opened doors to innovative methodologies. This sector is under constant scrutiny due to the sensitive nature of its data. While we delve deeper into […]

The post How is Agentic AI changing healthcare security appeared first on Entro.

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How Are Non-Human Identities Shaping Cloud Security? What does it take to bridge the gap between security and R&D teams when managing non-human identities in cloud environments? Non-human identities (NHIs) are pivotal in modern cybersecurity frameworks, acting as machine identities that ensure secure interaction between different technological entities. Understanding their role and maintaining effective security […]

The post What future trends will define Agentic AI governance appeared first on Entro.

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Why Are Non-Human Identities Crucial for Cloud Security? Does your organization fully understand the importance of Non-Human Identities (NHIs) in cybersecurity? With a crucial component of cloud security, managing these machine identities effectively can be the key to minimizing risks and ensuring robust access management. Where systems and services interact automatically, establishing a comprehensive strategy […]

The post Can Agentic AI ensure full IAM compliance appeared first on Entro.

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Are You Overlooking Non-Human Identities in Cloud Security? Machine identities have emerged as critical components that require immediate attention and robust management. Where organizations increasingly rely on digital transformations and cloud environments, the security of Non-Human Identities (NHIs) and their secrets vaults cannot be overstated. The management of machine identities, often called NHIs, combines encrypted […]

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Between October and November 2025, one of the biggest cybercrime operations in Interpol history saw the arrest of 574 people suspected of business email compromise (BEC), digital extortion, and ransomware. Despite its scale, the operation gained almost no attention in the US and UK because it happened across 19 African countries, principally Ghana and Nigeria. […]

The post Is Africa the next ransomware hotspot? appeared first on Ransomware.org.

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Session 11A: Blockchain Security 2

Authors, Creators & Presenters: Qiyang Song (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences), Heqing Huang (Institute of Information Engineering, Chinese Academy of Sciences), Xiaoqi Jia (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences), Yuanbo Xie (Institute of Information Engineering, Chinese Academy of Sciences; School of Cyber Security, University of Chinese Academy of Sciences), Jiahao Cao (Institute for Network Sciences and Cyberspace, Tsinghua University)

PAPER
Silence False Alarms: Identifying Anti-Reentrancy Patterns on Ethereum to Refine Smart Contract Reentrancy Detection

Reentrancy vulnerabilities in Ethereum smart contracts have caused significant financial losses, prompting the creation of several automated reentrancy detectors. However, these detectors frequently yield a high rate of false positives due to coarse detection rules, often misclassifying contracts protected by anti-reentrancy patterns as vulnerable. Thus, there is a critical need for the development of specialized automated tools to assist these detectors in accurately identifying anti-reentrancy patterns. While existing code analysis techniques show promise for this specific task, they still face significant challenges in recognizing anti-reentrancy patterns. These challenges are primarily due to the complex and varied features of anti-reentrancy patterns, compounded by insufficient prior knowledge about these features. This paper introduces AutoAR, an automated recognition system designed to explore and identify prevalent anti-reentrancy patterns in Ethereum contracts. AutoAR utilizes a specialized graph representation, RentPDG, combined with a data filtration approach, to effectively capture anti-reentrancy-related semantics from a large pool of contracts. Based on RentPDGs extracted from these contracts, AutoAR employs a recognition model that integrates a graph auto-encoder with a clustering technique, specifically tailored for precise anti-reentrancy pattern identification. Experimental results show AutoAR can assist existing detectors in identifying 12 prevalent anti-reentrancy patterns with 89% accuracy, and when integrated into the detection workflow, it significantly reduces false positives by over 85%.

ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.

Our thanks to the Network and Distributed System Security (NDSS) Symposium for publishing their Creators, Authors and Presenter’s superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.

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The post NDSS 2025 – Silence False Alarms appeared first on Security Boulevard.

As we look back on 2025, AI and open source have fundamentally changed how software is built. Generative AI, automated pipelines, and ubiquitous open source have dramatically increased developer velocity and expanded what teams can deliver — while shifting risk into the everyday decisions developers make as code is written, generated, and assembled.

The post The Great Shift: Cybersecurity Predictions for 2026 and the New Era of Threat Intelligence appeared first on Security Boulevard.