Your Guide to Risk-Based Vulnerability Management

Communicating security needs to leadership can be a challenge when you’re just presenting a long list of technical flaws. The conversation shifts when you can talk about risk in clear business terms. Instead of saying "we have 500 critical vulnerabilities," you can say "we have 15 vulnerabilities...

AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language Models

Large Language Models LLMs remain vulnerable to jailbreaking attacks where adversarial prompts elicit harmful outputs, yet most evaluations focus on single-turn interactions while real-world attacks unfold through adaptive multi-turn conversations. We present AutoAdv, a training-free framework fo...

Discover the 3 Stages of Cloud Maturity by Taking Our Quiz

Discover the three stages of the cloud maturity model and learn how cloud adoption, strategy, and security drive digital transformation...

A DRL-Empowered Multi-Level Jamming Approach for Secure Semantic Communication

Semantic communication SemCom aims to transmit only task-relevant information, thereby improving communication efficiency but also exposing semantic information to potential eavesdropping. In this paper, we propose a deep reinforcement learning DRL-empowered multi-level jamming approach to enhanc...

EUVD-2025-36617

Missing Authorization vulnerability in Strategy11 Team Business Directory business-directory-plugin allows Exploiting Incorrectly Configured Access Control Security Levels.This issue affects Business Directory: from n/a through = 6.4.18...

AI for the Financial Sector: How Strategy Consulting Helps You Navigate Risk

The financial industry is transforming as artificial intelligence AI is becoming an integral tool for managing operations, improving…...

Enhanced MLLM Black-Box Jailbreaking Attacks and Defenses

Multimodal large language models MLLMs comprise of both visual and textual modalities to process vision language tasks. However, MLLMs are vulnerable to security-related issues, such as jailbreak attacks that alter the model's input to induce unauthorized or harmful responses. The incorporation o...

Sensing Security in Near-Field ISAC: Exploiting Scatterers for Eavesdropper Deception

In this paper, we explore sensing security in near-field NF integrated sensing and communication ISAC scenarios by exploiting known scatterers in the sensing scene. We propose a location deception LD scheme where scatterers are deliberately illuminated with probing power that is higher than that...

Genesis: Evolving Attack Strategies for LLM Web Agent Red-Teaming

As large language model LLM agents increasingly automate complex web tasks, they boost productivity while simultaneously introducing new security risks. However, relevant studies on web agent attacks remain limited. Existing red-teaming approaches mainly rely on manually crafted attack strategies...

Multimodal Safety Is Asymmetric: Cross-Modal Exploits Unlock Black-Box MLLMs Jailbreaks

Multimodal large language models MLLMs have demonstrated significant utility across diverse real-world applications. But MLLMs remain vulnerable to jailbreaks, where adversarial inputs can collapse their safety constraints and trigger unethical responses. In this work, we investigate jailbreaks i...

Architectures, Risks, and Adoption: How to Assess and Choose the Right AI-SOC Platform

Scaling the SOC with AI - Why now? Security Operations Centers SOCs are under unprecedented pressure. According to SACR's AI-SOC Market Landscape 2025 , the average organization now faces around 960 alerts per day , while large enterprises manage more than 3,000 alerts daily from an average of 28...

The Difference Between Vulnerability and Exposure Management Explained

To build a truly effective defense, you have to learn to see your organization through an attacker's eyes. Attackers don't care about your internal vulnerability scan reports or how many patches you applied last week. They look for one thing: an open door. They search for an accessible pathway th...

EUVD-2020-1480

Malware in sbrugna...

EUVD-2020-0343

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EUVD-2021-2276

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EUVD-2021-2219

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EUVD-2021-1325

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EUVD-2013-1033

Malware in sbrugna...

EUVD-2013-1034

Malware in sbrugna...

EUVD-2014-4464

Malware in sbrugna...