Adversarial Defense in Cybersecurity: a Systematic Review of GANs for Threat Detection and Mitigation

Machine learning-based cybersecurity systems are highly vulnerable to adversarial attacks, while Generative Adversarial Networks GANs act as both powerful attack enablers and promising defenses. This survey systematically reviews GAN-based adversarial defenses in cybersecurity 2021--August 31,...

Large Language Models for Security Operations Centers: a Comprehensive Survey

Large Language Models LLMs have emerged as powerful tools capable of understanding and generating human-like text, offering transformative potential across diverse domains. The Security Operations Center SOC, responsible for safeguarding digital infrastructure, represents one of these domains. SO...

Generative Engine Optimisation: What It Is and Why You Need an Agency for It

As digital marketing keeps changing, staying ahead means adopting the latest strategies that enhance online visibility and user…...

The Era of AI-Generated Ransomware Has Arrived

Cybercriminals are increasingly using generative AI tools to fuel their attacks, with new research finding instances of AI being used to develop ransomware...

IBM Concert Software Data Exposure Overload Vulnerability

IBM Concert Software is IBM's generative AI-driven automated application management and monitoring tool based on the WatsonX platform, focused on optimizing the operational efficiency and reliability of applications. IBM Concert Software suffers from an excessive data exposure vulnerability that...

Aura-CAPTCHA: a Reinforcement Learning and GAN-Enhanced Multi-Modal CAPTCHA System

Aura-CAPTCHA was developed as a multi-modal CAPTCHA system to address vulnerabilities in traditional methods that are increasingly bypassed by AI technologies, such as Optical Character Recognition OCR and adversarial image processing. The design integrated Generative Adversarial Networks GANs fo...

IBM Concert Software Improper Heap Memory Cleanup Vulnerability

IBM Concert Software is IBM's generative AI-driven automated application management and monitoring tool based on the WatsonX platform, focused on optimizing the operational efficiency and reliability of applications. IBM Concert Software suffers from an improper heap memory cleanup vulnerability...

IBM Concert Software 安全漏洞

IBM Concert Software is IBM's generative AI-driven automated application management and monitoring tool based on the WatsonX platform, focused on optimizing the operational efficiency and reliability of applications. IBM Concert Software suffers from an excessive data exposure vulnerability that...

Generative Personalization at the Edge: The Future of E‑Commerce Isn’t (Just) in the Cloud

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The Ultimate Battle: Enterprise Browsers vs. Secure Browser Extensions

Most security tools can't see what happens inside the browser, but that's where the majority of work, and risk, now lives. Security leaders deciding how to close that gap often face a choice: deploy a dedicated Enterprise Browser or add an enterprise-grade control layer to the browsers employees...

Generative AI for Cybersecurity of Energy Management Systems: Methods, Challenges, and Future Directions

This paper elaborates on an extensive security framework specifically designed for energy management systems EMSs, which effectively tackles the dynamic environment of cybersecurity vulnerabilities and/or system problems SPs, accomplished through the incorporation of novel methodologies. A...

Generative AI for Critical Infrastructure in Smart Grids: a Unified Framework for Synthetic Data Generation and Anomaly Detection

In digital substations, security events pose significant challenges to the sustained operation of power systems. To mitigate these challenges, the implementation of robust defense strategies is critically important. A thorough process of anomaly identification and detection in information and...

AuthPrint: Fingerprinting Generative Models against Malicious Model Providers

Generative models are increasingly adopted in high-stakes domains, yet current deployments offer no mechanisms to verify the origin of model outputs. We address this gap by extending model fingerprinting techniques beyond the traditional collaborative setting to one where the model provider may a...

Generative AI-Empowered Secure Communications in Space-Air-Ground Integrated Networks: a Survey and Tutorial

Space-air-ground integrated networks SAGINs face unprecedented security challenges due to their inherent characteristics, such as multidimensional heterogeneity and dynamic topologies. These characteristics fundamentally undermine conventional security methods and traditional artificial...

Cisco Talos at Black Hat 2025: Briefings, booth talks and what to expect

Cisco Talos is back at Black Hat with new research, threat detection overviews and opportunities to connect with our team. Whether you're interested in what we're seeing in the threat landscape, detection engineering or real-world incident response, here's where and how to find us: Visit us at th...

EdgeAgentX-DT: Integrating Digital Twins and Generative AI for Resilient Edge Intelligence in Tactical Networks

We introduce EdgeAgentX-DT, an advanced extension of the EdgeAgentX framework that integrates digital twin simulations and generative AI-driven scenario training to significantly enhance edge intelligence in military networks. EdgeAgentX-DT utilizes network digital twins, virtual replicas...

WBHT: a Generative Attention Architecture for Detecting Black Hole Anomalies in Backbone Networks

We propose the Wasserstein Black Hole Transformer WBHT framework for detecting black hole BH anomalies in communication networks. These anomalies cause packet loss without failure notifications, disrupting connectivity and leading to financial losses. WBHT combines generative modeling, sequential...

Overcoming Risks from Chinese GenAI Tool Usage

A recent analysis of enterprise data suggests that generative AI tools developed in China are being used extensively by employees in the US and UK, often without oversight or approval from security teams. The study, conducted by Harmonic Security, also identifies hundreds of instances in which...

Adversarial Attacks to Image Classification Systems Using Evolutionary Algorithms

Image classification currently faces significant security challenges due to adversarial attacks, which consist of intentional alterations designed to deceive classification models based on artificial intelligence. This article explores an approach to generate adversarial attacks against image...

AI Agents Act Like Employees With Root Access—Here's How to Regain Control

The AI gold rush is on. But without identity-first security, every deployment becomes an open door. Most organizations secure native AI like a web app, but it behaves more like a junior employee with root access and no manager. From Hype to High Stakes Generative AI has moved beyond the hype cycl...