1360 matches found
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-2021-1325
Malware in sbrugna...
EUVD-2020-0343
Malware in sbrugna...
EUVD-2014-4464
Malware in sbrugna...
EUVD-2013-1034
Malware in sbrugna...
EUVD-2013-1033
Malware in sbrugna...
EUVD-2021-2219
Malware in sbrugna...
EUVD-2021-2276
Malware in sbrugna...
AutoDAN-Reasoning: Enhancing Strategies Exploration Based Jailbreak Attacks with Test-Time Scaling
Recent advancements in jailbreaking large language models LLMs, such as AutoDAN-Turbo, have demonstrated the power of automated strategy discovery. AutoDAN-Turbo employs a lifelong learning agent to build a rich library of attack strategies from scratch. While highly effective, its test-time...