CISO Spotlight: Andrew Storms on Trust, AI, and Why CISOs Need to Be Optimists

Andrew Storms, VP of Security at Replicated, has spent three decades on the frontlines of cybersecurity. From building Unix systems in the early ‘90s to leading incident response and AI security strategies today, he has seen the CISO role evolve from back-office function to boardroom mainstay. In...

Understanding Malware Propagation Dynamics through Scientific Machine Learning

Accurately modeling malware propagation is essential for designing effective cybersecurity defenses, particularly against adaptive threats that evolve in real time. While traditional epidemiological models and recent neural approaches offer useful foundations, they often fail to fully capture the...

A Survey on Artificial Noise for Physical Layer Security: Opportunities, Technologies, Guidelines, Advances, and Trends

Due to the broadcast nature of wireless communications, physical-layer security has attracted increasing concerns from both academia and industry. Artificial noise AN, as one of the promising physical-layer security techniques, is capable of utilizing the spatial degree-of-freedom of channels to...

Ethereum’s Pivotal Role in Decentralized Finance Evolution

Once upon a time, say, 2016, Ethereum was a curious new arrival in the crypto space. It promised…...

Asrmicro ASR Series 安全漏洞

Asrmicro ASR Series is a series of chips from Avantage Technology Asrmicro, a Chinese company. A security vulnerability exists in Asrmicro ASR Series, which originates from an out-of-bounds write to the devapi.C file in lte-telephony that could result in a buffer underflow...

Autonomous Cyber Resilience Via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox

The convergence of IT and OT has created hyper-connected ICS, exposing critical infrastructure to a new class of adaptive, intelligent adversaries that render static defenses obsolete. Existing security paradigms often fail to address a foundational "Trinity of Trust," comprising the fidelity of...

Differential Privacy in Machine Learning: from Symbolic AI to LLMs

Machine learning models should not reveal particular information that is not otherwise accessible. Differential privacy provides a formal framework to mitigate privacy risks by ensuring that the inclusion or exclusion of any single data point does not significantly alter the output of an algorith...

Report Warns of Sophisticated DDoS Campaigns Crippling Global Banks

A new FS-ISAC and Akamai report warns that sophisticated DDoS attacks are severely impacting the global financial sector, leading to multi-day outages. Learn about these evolving threats and how institutions can strengthen defences...

SoK: Stablecoin Designs, Risks, and the Stablecoin LEGO

Stablecoins have become significant assets in modern finance, with a market capitalization exceeding USD 246 billion May 2025. Yet, despite their systemic importance, a comprehensive and risk-oriented understanding of crucial aspects like their design trade-offs, security dynamics, and...

Centre Driven Controlled Evolution of Wireless Virtual Networks Based on Broadcast Tokens

In a wireless sensor network, the virtual connectivity between nodes is a function of the keys shared between various nodes. Pre-embedding these key configurations in the nodes would make the network inflexible. On the other hand, permitting subsets of nodes to engage in a common key synthesis...

CISO Spotlight: Rick Bohm on Building Bridges, Taming AI, and the Future of API Security

Nestled in a log cabin high in the Rocky Mountains, Rick Bohm starts his day the same way he’s approached his career: intentionally, with a quiet commitment to learning and action. Boasting more than three decades of cybersecurity experience, Rick has watched tech evolve from dial-up ISPs to...

Key Takeaways from the Take Command Summit 2025: Demystifying Cloud Detection & Response – The Future of SOC and MDR

Cloud adoption has fundamentally reshaped security operations, bringing flexibility and scalability, but also complexity. In this session from the Take Command 2025 Virtual Cybersecurity Summit, Rapid7’s product leaders discussed how today’s SOC and MDR capabilities must evolve to keep up. Hosted...

Private Evolution Converges

Private Evolution PE is a promising training-free method for differentially private DP synthetic data generation. While it achieves strong performance in some domains e.g., images and text, its behavior in others e.g., tabular data is less consistent. To date, the only theoretical analysis of the...

Stealix: Model Stealing Via Prompt Evolution

Model stealing poses a significant security risk in machine learning by enabling attackers to replicate a black-box model without access to its training data, thus jeopardizing intellectual property and exposing sensitive information. Recent methods that use pre-trained diffusion models for data...

PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation Via Few-Shot Private Data and Generative APIs

The rise of generative APIs has fueled interest in privacy-preserving synthetic data generation. While the Private Evolution PE algorithm generates Differential Privacy DP synthetic images using diffusion model APIs, it struggles with few-shot private data due to the limitations of its DP-protect...

CISO Spotlight: Mike Wilkes on Building Resilience in an Evolving Threat Landscape

Mike Wilkes has had a career many cybersecurity professionals could only dream of. An adjunct professor, former CISO of Marvel and MLS, member of the World Economic Forum, drummer, and board member at the National Jazz Museum in Harlem, his interests and achievements are as eclectic as they are...

On the Intractability of Chaotic Symbolic Walks: toward a Non-Algebraic Post-Quantum Hardness Assumption

Most classical and post-quantum cryptographic assumptions, including integer factorization, discrete logarithms, and Learning with Errors LWE, rely on algebraic structures such as rings or vector spaces. While mathematically powerful, these structures can be exploited by quantum algorithms or...

The future of AI agents—and why OAuth must evolve

I believe we're at the beginning of something extraordinary. Today's AI agents are already impressive—they're helping software engineers write code, assisting site reliability teams in troubleshooting systems, and handling a variety of analytical tasks. Yet, as capable as these specialized agents...

CVE-2023-22711

Auth. contributor+ Stored Cross-Site Scripting XSS vulnerability in Agent Evolution IMPress Listings plugin = 2.6.2 versions...

CVE-2022-4869

A vulnerability was found in Evolution Events Artaxerxes. It has been declared as problematic. This vulnerability affects unknown code of the file arta/common/middleware.py of the component POST Parameter Handler. The manipulation of the argument password leads to information disclosure. The atta...