Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering

Insider threats represent one of the most critical challenges in modern cybersecurity. These threats arise from individuals within an organization who misuse their legitimate access to harm the organization's assets, data, or operations. Traditional security mechanisms, primarily designed for...

Streamlining HTTP Flooding Attack Detection through Incremental Feature Selection

Applications over the Web primarily rely on the HTTP protocol to transmit web pages to and from systems. There are a variety of application layer protocols, but among all, HTTP is the most targeted because of its versatility and ease of integration with online services. The attackers leverage the...

ChestyBot: Detecting and Disrupting Chinese Communist Party Influence Stratagems

Foreign information operations conducted by Russian and Chinese actors exploit the United States' permissive information environment. These campaigns threaten democratic institutions and the broader Westphalian model. Yet, existing detection and mitigation strategies often fail to identify active...

AttentionGuard: Transformer-Based Misbehavior Detection for Secure Vehicular Platoons

Vehicle platooning, with vehicles traveling in close formation coordinated through Vehicle-to-Everything V2X communications, offers significant benefits in fuel efficiency and road utilization. However, it is vulnerable to sophisticated falsification attacks by authenticated insiders that can...

GPML: Graph Processing for Machine Learning

The dramatic increase of complex, multi-step, and rapidly evolving attacks in dynamic networks involves advanced cyber-threat detectors. The GPML Graph Processing for Machine Learning library addresses this need by transforming raw network traffic traces into graph representations, enabling...

LLM-Based Threat Detection and Prevention Framework for IoT Ecosystems

The increasing complexity and scale of the Internet of Things IoT have made security a critical concern. This paper presents a novel Large Language Model LLM-based framework for comprehensive threat detection and prevention in IoT environments. The system integrates lightweight LLMs fine-tuned on...

Mitigating Backdoor Triggered and Targeted Data Poisoning Attacks in Voice Authentication Systems

Voice authentication systems remain susceptible to two major threats: backdoor triggered attacks and targeted data poisoning attacks. This dual vulnerability is critical because conventional solutions typically address each threat type separately, leaving systems exposed to adversaries who can...

Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks

As cyber threats continue to evolve, securing edge networks has become increasingly challenging due to their distributed nature and resource limitations. Many AI-driven threat detection systems rely on complex deep learning models, which, despite their high accuracy, suffer from two major...

Native Sensors vs. Integrations for XDR Platforms?

Native sensors vs. integrations in XDR: Native sensors offer faster deployment, real-time detection, and deeper visibility, while integrations may add complexity and delays. Learn how to optimize your XDR strategy for improved security...

Harnessing AI for Proactive Threat Intelligence and Advanced Cyber Defense

Discover how AI revolutionizes cybersecurity with real-time threat detection, adaptive protection, and advanced data protection to combat evolving…...

Sailing Securely Across the SDLC: Introducing Wiz's Image Trust and Kubernetes Audit Log Collector

Secure your applications across the SDLC by deploying only trusted images and monitoring your Kubernetes control plane in near-real time to detect potential threats...

Microsoft Defender for Endpoint now stops human-operated attacks on its own

Defenders need every edge they can get in the fight against ransomware. Today, were pleased to announce that Microsoft Defender for Endpoint customers will now be able automatically to disrupt human-operated attacks like ransomware early in the kill chain without needing to deploy any other...

Activities in the Cybercrime Underground Require a New Approach to Cybersecurity

As Threat Actors Continuously Adapt their TTPs in Today's Threat Landscape, So Must You Earlier this year, threat researchers at Cybersixgill released the annual report, The State of the Cybercrime Underground. The research stems from an analysis of Cybersixgill's collected intelligence items...

Ta-da! Wiz launches Runtime Sensor to provide real-time detection and response

Agentless visibility and risk assessment paired with Wiz Runtime Sensor real-time detection for the best of both worlds...

How to monitor, detect, and respond to cloud data risks faster with built-in security controls for cloud events

Wiz for DSPM: Additional enhancements to help you correlate suspicious events related to unprotected data in near real-time...

The Service Accounts Challenge: Can't See or Secure Them Until It's Too Late

Here's a hard question to answer: 'How many service accounts do you have in your environment?'. A harder one is: 'Do you know what these accounts are doing?'. And the hardest is probably: 'If any of your service account was compromised and used to access resources would you be able to detect and...

PT-2023-21727 · Unknown · Angular-Server-Side-Configuration

Name of the Vulnerable Software and Affected Versions: angular-server-side-configuration versions 15.0.0 through 15.0.x Description: The issue concerns the detection of environment variables in TypeScript files during the build time of an Angular CLI project. These variables are written to a...

The Era of Cyber Threat Intelligence Sharing

We spent forty years defending ourselves as individuals. Trying to outsmart cybercriminals, outpower them, and when all our efforts failed, only then we considered banding together with our peers to outnumber them. Cybercriminals don't reinvent themselves each time. Their resources are limited, a...

4 Major Benefits of Next Gen SIEM

By Owais Sultan Next gen SIEM is a cloud-native cyberscurity tool that utilizes artificial intelligence and machine learning to discover malicious activity in real-time. This is a post from HackRead.com Read the original post: 4 Major Benefits of Next Gen SIEM...

Rethinking Vulnerability Management in a Heightened Threat Landscape

Mariano Nunez, CEO, Onapsis Repeated warnings from CISA and the Biden Administration on the Russian cyber threat over the last several months have heightened the state of alertness for U.S. agencies and businesses across industries, which are expecting ‘tit-for-tat’ cyberattacks from Russia in...