Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values

Agentic AI systems, possessing capabilities for autonomous planning and action, exhibit immense potential across diverse domains. However, their practical deployment is significantly hampered by challenges in aligning their behavior with varied human values, complex safety requirements, and...

Public-Key Quantum Authentication and Digital Signature Schemes Based on the QMA-Complete Problem

We propose a quantum authentication and digital signature protocol whose security is founded on the Quantum Merlin ArthurQMA-completeness of the consistency of local density matrices. The protocol functions as a true public-key cryptography system, where the public key is a set of local density...

From Patching to Eliminating Risk: What’s new in TruRisk™ Eliminate and Patch Management

As IT and security priorities converge under rising pressure, patch management is no longer just a hygiene activity but a strategic tool to eliminate the risk from exposed vulnerabilities. Since the last major release cycle, we’ve been expanding the Qualys Patch Management solution into a broader...

SecureFed: a Two-Phase Framework for Detecting Malicious Clients in Federated Learning

Federated Learning FL protects data privacy while providing a decentralized method for training models. However, because of the distributed schema, it is susceptible to adversarial clients that could alter results or sabotage model performance. This study presents SecureFed, a two-phase FL...

Tech-ASan: Two-Stage Check for Address Sanitizer

Address Sanitizer ASan is a sharp weapon for detecting memory safety violations, including temporal and spatial errors hidden in C/C++ programs during execution. However, ASan incurs significant runtime overhead, which limits its efficiency in testing large software. The overhead mainly comes fro...

Efficient Malware Detection with Optimized Learning on High-Dimensional Features

Malware detection using machine learning requires feature extraction from binary files, as models cannot process raw binaries directly. A common approach involves using LIEF for raw feature extraction and the EMBER vectorizer to generate 2381-dimensional feature vectors. However, the high...

Safety Features for a Centralised AGI Project

Recent AI progress has outpaced expectations, with some experts now predicting AI that matches or exceeds human capabilities in all cognitive areas AGI could emerge this decade, potentially posing grave national and global security threats. AI development is currently occurring primarily in the...

Astra Linux – Vulnerability found in Linux 6.1, Linux 6.12

In the Linux kernel, the following vulnerability has been resolved: igc: Fix the PTM cycle trigger logic Writing to clear the “valid” bit of the PTM status while the PTM cycle is triggered results in unreliable PTM operations. To address this issue, clear the PTM “trigger” and status after each P...

ZTaint-Havoc: from Havoc Mode to Zero-Execution Fuzzing-Driven Taint Inference

Fuzzing is a widely used technique for discovering software vulnerabilities, but identifying hot bytes that influence program behavior remains challenging. Traditional taint analysis can track such bytes white-box, but suffers from scalability issue. Fuzzing-Driven Taint Inference FTI offers a...

ABC-FHE : a Resource-Efficient Accelerator Enabling Bootstrappable Parameters for Client-Side Fully Homomorphic Encryption

As the demand for privacy-preserving computation continues to grow, fully homomorphic encryption FHE-which enables continuous computation on encrypted data-has become a critical solution. However, its adoption is hindered by significant computational overhead, requiring 10000-fold more computatio...

⚡ Weekly Recap: Chrome 0-Day, Data Wipers, Misused Tools and Zero-Click iPhone Attacks

Behind every security alert is a bigger story. Sometimes it’s a system being tested. Sometimes it’s trust being lost in quiet ways—through delays, odd behavior, or subtle gaps in control. This week, we’re looking beyond the surface to spot what really matters. Whether it’s poor design, hidden...

IF-GUIDE: Influence Function-Guided Detoxification of LLMs

We study how training data contributes to the emergence of toxic behaviors in large-language models. Most prior work on reducing model toxicity adopts $reactive$ approaches, such as fine-tuning pre-trained and potentially toxic models to align them with human values. In contrast, we propose a...

Zero Critical Issues, Infinite Security Potential

Over 50% of Wiz customers have reduced their cloud risk by reaching Zero Critical Issues...

ARIANNA: an Automatic Design Flow for Fabric Customization and EFPGA Redaction

In the modern global Integrated Circuit IC supply chain, protecting intellectual property IP is a complex challenge, and balancing IP loss risk and added cost for theft countermeasures is hard to achieve. Using embedded configurable logic allows designers to completely hide the functionality of...

A Large Language Model-Supported Threat Modeling Framework for Transportation Cyber-Physical Systems

Modern transportation systems rely on cyber-physical systems CPS, where cyber systems interact seamlessly with physical systems like transportation-related sensors and actuators to enhance safety, mobility, and energy efficiency. However, growing automation and connectivity increase exposure to...

Key Takeaways from the Take Command Summit 2025: Customer Panel on Future-Proofing VM Programs

One of the most actionable sessions at the Take Command 2025 Virtual Cybersecurity Summit came directly from the field. In a panel hosted by Aniket Menon, VP of Product Management at Rapid7, security leaders from Cross Financial Corp, Phibro Animal Health Corporation, and Miltenyi Biotec shared h...

Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair

The rapid advancement of bug-finding techniques has led to the discovery of more vulnerabilities than developers can reasonably fix, creating an urgent need for effective Automated Program Repair APR methods. However, the complexity of modern bugs often makes precise root cause analysis difficult...

A Study of Semi-Fungible Token Based Wi-Fi Access Control

Current Wi-Fi authentication methods face issues such as insufficient security, user privacy leakage, high management costs, and difficulty in billing. To address these challenges, a Wi-Fi access control solution based on blockchain smart contracts is proposed. Firstly, semi-fungible Wi-Fi tokens...

The ROI of DSPM: Why Data Security Posture Management Is a Business Imperative

See how Data Security Posture Management DSPM delivers measurable impact across risk reduction, compliance, and operational efficiency...

The vulnerability of the resource_build_bit_depth_reduction_params() function in the DRI driver for AMD kernel-based Linux graphics cards allows a attacker to cause a service failure.

The vulnerability of the resourcebuildbitdepthreductionparams function in the Direct Rendering Infrastructure DRI driver for AMD graphics cards in Linux operating systems is related to pointer manipulation. Exploiting this vulnerability could allow an attacker to cause a service failure...