Case study: How predictive shielding in Defender stopped GPO-based ransomware before it started

In this article 1. The growing threat: GPO abuse in ransomware operations 2. The incident 3. The results 4. The hardening dilemma: Why threat actors love operational mechanisms 5. Predictive shielding: Contextual, just-in-time hardening 6. Closing the gap 7. References Summary Microsoft Defender...

Cyber-Resilient Digital Twins: Discriminating Attacks for Safe Critical Infrastructure Control

Industrial Cyber-Physical Systems ICPS face growing threats from cyber-attacks that exploit sensor and control vulnerabilities. Digital Twin DT technology can detect anomalies via predictive modelling, but current methods cannot distinguish attack types and often rely on costly full-system...

AMDS: Attack-Aware Multi-Stage Defense System for Network Intrusion Detection with Two-Stage Adaptive Weight Learning

Machine learning based network intrusion detection systems are vulnerable to adversarial attacks that degrade classification performance under both gradient-based and distribution shift threat models. Existing defenses typically apply uniform detection strategies, which may not account for...

Static Design to Adaptive Control: How Artificial Intelligence Improves Modern Material Handling Equipment Systems

AI enables material handling systems to adapt to demand volatility through predictive design, dynamic control, and smarter maintenance without replacing core engineering...

A High-Recall Cost-Sensitive Machine Learning Framework for Real-Time Online Banking Transaction Fraud Detection

Fraudulent activities on digital banking services are becoming more intricate by the day, challenging existing defenses. While older rule driven methods struggle to keep pace, even precision focused algorithms fall short when new scams are introduced. These tools typically overlook subtle shifts ...

New Microsoft e-book: 3 reasons point solutions are holding you back

While patchwork tools slow defenders down and impact visibility into potential cyberthreats, they’re an unfortunate reality for many organizations. As digital risk accelerates and attack surfaces multiply, security leaders are doing their best to stitch together point solutions while trying to...

An Empirical Analysis of Zero-Day Vulnerabilities Disclosed by the Zero Day Initiative

Zero-day vulnerabilities represent some of the most critical threats in cybersecurity, as they correspond to previously unknown flaws in software or hardware that are actively exploited before vendors can develop and deploy patches. During this exposure window, affected systems remain defenseless...

Future-Back Threat Modeling: A Foresight-Driven Security Framework

Traditional threat modeling remains reactive-focused on known TTPs and past incident data, while threat prediction and forecasting frameworks are often disconnected from operational or architectural artifacts. This creates a fundamental weakness: the most serious cyber threats often do not arise...

[SECURITY] Fedora 42 Update: qt5-qtvirtualkeyboard-5.15.18-1.fc42

The Qt Virtual Keyboard project provides an input framework and reference key board frontend for Qt 5. Key features include: Customizable keyboard layouts and styles with dynamic switching. Predictive text input with word selection. Character preview and alternative character view. Automatic...

[SECURITY] Fedora 42 Update: qt6-qtvirtualkeyboard-6.9.3-1.fc42

The Qt Virtual Keyboard project provides an input framework and reference key board frontend for Qt 6. Key features include: Customizable keyboard layouts and styles with dynamic switching. Predictive text input with word selection. Character preview and alternative character view. Automatic...

Towards Proactive Defense against Cyber Cognitive Attacks

Cyber cognitive attacks leverage disruptive innovations DIs to exploit psychological biases and manipulate decision-making processes. Emerging technologies, such as AI-driven disinformation and synthetic media, have accelerated the scale and sophistication of these threats. Prior studies primaril...

6 Essential AI Cybersecurity Tools for Your Stack

Is your security team spending more time chasing low-level alerts than hunting for genuine threats? It’s a common problem that leads to burnout and allows critical risks to slip through the cracks. The most significant advantage of AI cybersecurity tools is their ability to restore focus. By...

EUVD-2021-18141

Malware in sbrugna...

EUVD-1999-1117

Malware in sbrugna...

EUVD-2023-37184

Malicious code in bioql PyPI...

CryptOracle: A Modular Framework to Characterize Fully Homomorphic Encryption

Privacy-preserving machine learning has become an important long-term pursuit in this era of artificial intelligence AI. Fully Homomorphic Encryption FHE is a uniquely promising solution, offering provable privacy and security guarantees. Unfortunately, computational cost is impeding its mass...

H2O Flow Unauthenticated Access

H2O Flow is an open-source user interface for H2O, an open-source, distributed and scalable machine learning and predictive analytics platform. By default, H2O Flow does not require authentication to access the application. This allows an attacker to access sensitive data. This detection is...

This “insidious” police tech claims to predict crime (Lock and Code S06E18)

This week on the Lock and Code podcast… In the late 2010s, a group of sheriffs out of Pasco County, Florida, believed they could predict crime. The Sheriff’s Department there had piloted a program called “Intelligence-Led Policing” and the program would allegedly analyze disparate points of data ...

USN-7738-1 ffmpeg vulnerability

It was discovered that FFmpeg incorrectly handled the calculation of LPC order, which could lead to a stack-based buffer overflow. An attacker could possibly use this issue to cause FFmpeg to crash, resulting in a denial of service...

NVIDIA Jetson Linux 安全漏洞

NVIDIA Jetson Linux is an edge AI and robotics development platform from NVIDIA, USA. NVIDIA Jetson Linux has a security vulnerability that stems from a kernel shared microarchitecture predictive state flaw that could lead to information disclosure...