arXiv:2603.18377v1 Announce Type: new Abstract: Cloud-hosted large language models (LLMs) have become the de facto planners in agentic systems, coordinating tools and guiding execution over local envi…
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arXiv:2603.18377v1 Announce Type: new Abstract: Cloud-hosted large language models (LLMs) have become the de facto planners in agentic systems, coordinating tools and guiding execution over local envi…
arXiv:2603.18355v1 Announce Type: new Abstract: In the ever-evolving battle against malware, binary obfuscation techniques are a formidable barrier to effective analysis by both human security analyst…
arXiv:2603.18235v1 Announce Type: new Abstract: As large language models (LLMs) evolve into autonomous "AI scientists," they promise transformative advances but introduce novel vulnerabilities, from p…
arXiv:2603.18196v1 Announce Type: new Abstract: Investigating cybersecurity incidents requires collecting and analyzing evidence from multiple log sources, including intrusion detection alerts, networ…
arXiv:2603.18120v1 Announce Type: new Abstract: The inference phase of deep neural networks (DNNs) in embedded systems is increasingly vulnerable to fault attacks and failures, which can result in inc…
arXiv:2603.18105v1 Announce Type: new Abstract: Digital image steganography requires a careful trade-off among payload capacity, visual fidelity, and statistical undetectability. Fixed-depth least sig…
arXiv:2603.18103v1 Announce Type: new Abstract: With the widespread deployment of deep-learning-based speech models in security-critical applications, backdoor attacks have emerged as a serious threat…
arXiv:2603.18071v1 Announce Type: new Abstract: We present YouTube-Synch [1], a production system for automated, large-scale content extraction and replication from YouTube to decentralized storage on…
arXiv:2603.18063v1 Announce Type: new Abstract: The Model Context Protocol (MCP) introduces a structurally distinct attack surface that existing threat frameworks, designed for traditional software sy…
arXiv:2603.18059v1 Announce Type: new Abstract: Tool-using automation systems, from scripts and CI bots to agentic assistants, fail in recurring patterns. Common failures include unsafe side effects, …
arXiv:2603.18034v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) systems extend large language models (LLMs) with external knowledge sources but introduce new attack surfaces throu…
The U.S. Justice Department joined authorities in Canada and Germany in dismantling the online infrastructure behind four highly disruptive botnets that compromised more than three million hacked Inte…
Authorities have successfully dismantled the command-and-control (C2) infrastructure powering four massive Internet of Things (IoT) botnets. The U.S. Justice Department, collaborating closely with Can…
Shielding the 2026 Winter Olympics: A Cybersecurity Race behind the Games Cybersecurity Insiders
From quantum computing to the ‘revenge of the blue collar’: The job market trends shaping 2026 CTech
Palm Beach State College to launch quantum computing program The Palm Beach Post
WISeKey Advances Post-Quantum Space Security With 2026 Satellite PoCs Quantum Zeitgeist
Quantum Computing’s Key Drivers of Expansion as 2026 Approaches Bitget
Rapid7 2026 Global Threat Landscape Report Shows Exploited High and Critical-Severity Vulnerabilities Surged 105% as Attack Timelines Collapsed The Globe and Mail
Insider Threat Damage Balloons as Visibility Gaps Widen Dark Reading
Railway Cybersecurity Industry Outlook Report 2025-2034 | AI and Machine Learning Revolutionizing Real-Time Threat Detection, Government Regulations Drive Demand Yahoo Finance
Middle East Cybersecurity Market Forecast Report 2025-2030 | Digital Transformation, State-Sponsored Threats, Regulatory Pressures, and the Rise of AI-Powered Attacks Yahoo Finance
Cybersecurity, fraud attacks may cause systemic risk in 2026 American Banker