The MSP Guide to Using AI-Powered Risk Management to Scale Cybersecurity

Scaling cybersecurity services as an MSP or MSSP requires technical expertise and a business model that delivers measurable value at scale. Risk-based cybersecurity is the foundation of that model. When done right, it builds client trust, increases upsell opportunities, and drives recurring...

Atomicity for Agents: Exposing, Exploiting, and Mitigating TOCTOU Vulnerabilities in Browser-Use Agents

Browser-use agents are widely used for everyday tasks. They enable automated interaction with web pages through structured DOM based interfaces or vision language models operating on page screenshots. However, web pages often change between planning and execution, causing agents to execute action...

New e-book: Establishing a proactive defense with Microsoft Security Exposure Management

Effective exposure management begins by illuminating and hardening risks across the entire attack surface. Some of the most meaningful shifts in security happen quietly—when teams take a clear look at their exposure landscape and acknowledge the gap between where they stand today and where they...

Microsoft SDL: Evolving security practices for an AI-powered world

As AI reshapes the world, organizations encounter unprecedented risks, and security leaders take on new responsibilities. Microsoft’s Secure Development Lifecycle SDL is expanding to address AI-specific security concerns in addition to the traditional software security areas that it has...

The End of the Road for Cisco Kenna: Take a Measured Path into Exposure Management

Cisco’s announcement that it will sunset Cisco Vulnerability Management Kenna marks a clear inflection point for many security teams. With end-of-sale and end-of-life timelines now defined, and no replacement offering on the roadmap, Kenna customers face an unavoidable decision window. Beyond the...

CurricuLLM: Designing Personalized and Workforce-Aligned Cybersecurity Curricula Using Fine-Tuned LLMs

The cybersecurity landscape is constantly evolving, driven by increased digitalization and new cybersecurity threats. Cybersecurity programs often fail to equip graduates with skills demanded by the workforce, particularly concerning recent developments in cybersecurity, as curriculum design is...

EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models Via Equation Solving and Code Completion

Large language models LLMs, such as ChatGPT, have achieved remarkable success across a wide range of fields. However, their trustworthiness remains a significant concern, as they are still susceptible to jailbreak attacks aimed at eliciting inappropriate or harmful responses. However, existing...

Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection

Unsupervised anomaly-based intrusion detection requires models that can generalize to attack patterns not observed during training. This work presents the first large-scale evaluation of hybrid quantum-classical HQC autoencoders for this task. We construct a unified experimental framework that...

Beyond NSX: A Strategic Alternative for VMware Customers

Broadcom’s VMware acquisition has driven up costs and complexity. Akamai Guardicore Segmentation offers a modern, secure, and cost-efficient path beyond NSX...

From Data Loss Prevention (DLP) to Modern Data Security

It’s time to rethink your approach...

Large Language Models for Cyber Security

This paper studies the integration off Large Language Models into cybersecurity tools and protocols. The main issue discussed in this paper is how traditional rule-based and signature based security systems are not enough to deal with modern AI powered cyber threats. Cybersecurity industry is...

Security Analysis of Agentic AI Communication Protocols: A Comparative Evaluation

Multi-agent systems MAS powered by artificial intelligence AI are increasingly foundational to complex, distributed workflows. Yet, the security of their underlying communication protocols remains critically under-examined. This paper presents the first empirical, comparative security analysis of...

Ask What Your Country Can Do for You: Towards a Public Red Teaming Model

AI systems have the potential to produce both benefits and harms, but without rigorous and ongoing adversarial evaluation, AI actors will struggle to assess the breadth and magnitude of the AI risk surface. Researchers from the field of systems design have developed several effective sociotechnic...

Beware the Hidden Costs of Pen Testing

Penetration testing helps organizations ensure IT systems are secure, but it should never be treated in a one-size-fits-all approach. Traditional approaches can be rigid and cost your organization time and money – while producing inferior results. The benefits of pen testing are clear. By...

Beyond CVSS: Critical CVE Vulnerabilities Analysis

Attackers don't care about your CVSS scores. They care about finding a path into your network. That path might not be a single, glaring "critical" vulnerability. Often, it’s a chain of lower-severity weaknesses on overlooked assets that, when combined, give them the keys to the kingdom. This is w...

Man-In-The-Middle Proof-Of-Concept Via Krontiris' Ephemeral Diffie-Hellman over COSE (EDHOC) in C

This report presents some technical details on the authentication process of a lightweight key exchange protocol, paying attention on how Man-in-the-Middle MitM attacks could undermine its security, e.g., under the scope of lawful interception and its risk to facilitate mass surveillance. We focu...

EUVD-2021-15346

Malware in sbrugna...

Unity Linux 20.1070e Security Update: kernel (UTSA-2025-986492)

The Unity Linux 20 host has a package installed that is affected by a vulnerability as referenced in the UTSA-2025-986492 advisory. In the Linux kernel, the following vulnerability has been resolved: scsi: Revert scsi: fcoe: Fix potential deadlock on &fip-ctlrlock This reverts commit...

Enhancing Automotive Security with a Hybrid Approach Towards Universal Intrusion Detection System

Security measures are essential in the automotive industry to detect intrusions in-vehicle networks. However, developing a one-size-fits-all Intrusion Detection System IDS is challenging because each vehicle has unique data profiles. This is due to the complex and dynamic nature of the data...

CVE-2023-53428

In the Linux kernel, the following vulnerability has been resolved: powercap: armscmi: Remove recursion while parsing zones Powercap zones can be defined as arranged in a hierarchy of trees and when registering a zone with powercapregisterzone, the kernel powercap subsystem expects this to happen...