Etay Mayor, a cybersecurity strategist and professor, shares his journey, insights, and advice on breaking into the diverse and ever-evolving field of cybersecurity. Read More
The pro-Russian hacktivist group known as CyberVolk (aka GLORIAMIST) has resurfaced with a new ransomware-as-a-service (RaaS) offering called VolkLocker that suffers from implementation lapses in test artifacts, allowing users to decrypt files without paying an extortion fee. According to SentinelOne, VolkLocker (aka CyberVolk 2.x) emerged in August 2025 and is capable of targeting both Windows Read […]
Microsoft has confirmed that the December 2025 security updates are breaking Message Queuing (MSMQ) functionality, affecting enterprise applications and Internet Information Services (IIS) websites. […] Read More
In early December 2025, security researchers exposed a cybercrime campaign that had quietly hijacked popular Chrome and Edge browser extensions on a massive scale. A threat group dubbed ShadyPanda spent seven years playing the long game, publishing or acquiring harmless extensions, letting them run clean for years to build trust and gain millions of installs, […]
If you use a smartphone, browse the web, or unzip files on your computer, you are in the crosshairs this week. Hackers are currently exploiting critical flaws in the daily software we all rely on—and in some cases, they started attacking before a fix was even ready. Below, we list the urgent updates you need […]
Cybersecurity researchers have disclosed details of an active phishing campaign that’s targeting a wide range of sectors in Russia with phishing emails that deliver Phantom Stealer via malicious ISO optical disc images. The activity, codenamed Operation MoneyMount-ISO by Seqrite Labs, has primarily singled out finance and accounting entities, with those in the procurement, legal, payroll Read […]
The French Interior Minister confirmed on Friday that the country’s Ministry of the Interior was breached in a cyberattack that compromised e-mail servers. […] Read More
Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-caseTowards Data Science Introduction If you work in data science, data engineering, or as as a frontend/backend developer, you deal with JSON. For professionals, its basically only death, taxes, and JSON-parsing that is inevitable. The issue is that parsing JSON is often a serious pain. Whether you are pulling data from a REST API, parsing logs, or reading
The post Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case appeared first on Towards Data Science.
Introduction If you work in data science, data engineering, or as as a frontend/backend developer, you deal with JSON. For professionals, its basically only death, taxes, and JSON-parsing that is inevitable. The issue is that parsing JSON is often a serious pain. Whether you are pulling data from a REST API, parsing logs, or reading
The post Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case appeared first on Towards Data Science. Read More
CEOs still betting big on AI: Strategy vs. return on investment in 2026AI News Enterprise leaders are pressing ahead with artificial intelligence, even as some early results remain uneven. Reporting from the Wall Street Journal and Reuters shows that most CEOs expect AI spending to keep rising through 2026, despite difficulty tying those investments to clear, enterprise-wide returns. The tension highlights where many organisations now sit in their AI
The post CEOs still betting big on AI: Strategy vs. return on investment in 2026 appeared first on AI News.
Enterprise leaders are pressing ahead with artificial intelligence, even as some early results remain uneven. Reporting from the Wall Street Journal and Reuters shows that most CEOs expect AI spending to keep rising through 2026, despite difficulty tying those investments to clear, enterprise-wide returns. The tension highlights where many organisations now sit in their AI
The post CEOs still betting big on AI: Strategy vs. return on investment in 2026 appeared first on AI News. Read More
EpiPlanAgent: Agentic Automated Epidemic Response Planningcs.AI updates on arXiv.org arXiv:2512.10313v2 Announce Type: replace
Abstract: Epidemic response planning is essential yet traditionally reliant on labor-intensive manual methods. This study aimed to design and evaluate EpiPlanAgent, an agent-based system using large language models (LLMs) to automate the generation and validation of digital emergency response plans. The multi-agent framework integrated task decomposition, knowledge grounding, and simulation modules. Public health professionals tested the system using real-world outbreak scenarios in a controlled evaluation. Results demonstrated that EpiPlanAgent significantly improved the completeness and guideline alignment of plans while drastically reducing development time compared to manual workflows. Expert evaluation confirmed high consistency between AI-generated and human-authored content. User feedback indicated strong perceived utility. In conclusion, EpiPlanAgent provides an effective, scalable solution for intelligent epidemic response planning, demonstrating the potential of agentic AI to transform public health preparedness.
arXiv:2512.10313v2 Announce Type: replace
Abstract: Epidemic response planning is essential yet traditionally reliant on labor-intensive manual methods. This study aimed to design and evaluate EpiPlanAgent, an agent-based system using large language models (LLMs) to automate the generation and validation of digital emergency response plans. The multi-agent framework integrated task decomposition, knowledge grounding, and simulation modules. Public health professionals tested the system using real-world outbreak scenarios in a controlled evaluation. Results demonstrated that EpiPlanAgent significantly improved the completeness and guideline alignment of plans while drastically reducing development time compared to manual workflows. Expert evaluation confirmed high consistency between AI-generated and human-authored content. User feedback indicated strong perceived utility. In conclusion, EpiPlanAgent provides an effective, scalable solution for intelligent epidemic response planning, demonstrating the potential of agentic AI to transform public health preparedness. Read More
