Challenges and Future Directions in Agentic Reverse Engineering Systems

Agentic systems built on large language models LLMs are increasingly being used for complex security tasks, including binary reverse engineering RE. Despite recent growth in popularity and capability, these systems continue to face limitations in realistic settings. Cutting-edge systems still fai...

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Cipher XBOW Benchmark Results Black-box assessment results fr...

What Interoperability in Healthcare Really Means for Security and Privacy

Healthcare interoperability improves care but expands attack surfaces, increasing data exposure, compliance risk, and security challenges across connected systems...

A new era of agents, a new era of posture

The rise of AI Agents marks one of the most exciting shifts in technology today. Unlike traditional applications or cloud resources, these agents are not passive components- they reason, make decisions, invoke tools, and interact with other agents and systems on behalf of users. This autonomy...

The Developer's Newest Bug: Speed

The Developer's Newest Bug: Speed By Tola Olawale · December 2, 2025 Artificial intelligence AI has unequivocally entered its “main character” era, moving from a niche tool to a universal creator. This massive shift has given rise to "vibe coding ": the practice of using AI to generate functional...

Enhancing Security in Deep Reinforcement Learning: A Comprehensive Survey on Adversarial Attacks and Defenses

With the wide application of deep reinforcement learning DRL techniques in complex fields such as autonomous driving, intelligent manufacturing, and smart healthcare, how to improve its security and robustness in dynamic and changeable environments has become a core issue in current research...

Future G Network'S New Reality: Opportunities and Security Challenges

Future G network's new reality is a widespread cyber-physical environment created by Integrated Sensing and Communication ISAC. It is a crucial technology that transforms wireless connections into ubiquitous sensors. ISAC unlocks transformative new capabilities, powering autonomous systems,...

The API Security Dilemma: Why Traditional Approaches Are Failing in the AI Era

Throughout the past few years, APIs have become the backbone of digital infrastructure. They enable software-to-software communication, improve integration and interoperability, support modular architecture, and more. But as API use has exploded, so has API traffic volume and complexity, making...

Unlocking the Power of Amazon Security Lake for Proactive Security

Security is a central challenge in modern application development and maintenance, requiring not just traditional practices but also a deep understanding of application architecture and data flow. While organizations now have access to rich data like logs and telemetry, the real challenge lies in...

Quantum Software Security Challenges within Shared Quantum Computing Environments

The number of qubits in quantum computers keeps growing, but most quantum programs remain relatively small because of the noisy nature of the underlying quantum hardware. This might lead quantum cloud providers to explore increased hardware utilization, and thus profitability through means such a...

Metaverse Security and Privacy Research: a Systematic Review

The rapid growth of metaverse technologies, including virtual worlds, augmented reality, and lifelogging, has accelerated their adoption across diverse domains. This rise exposes users to significant new security and privacy challenges due to sociotechnical complexity, pervasive connectivity, and...

The Ultimate Cloud Security Championship | 12 Months × 12 Challenges

We’re excited to announce our latest cloud security challenge series...

AI Is Everywhere—But Security Teams Are Still Catching Up

Insights from 96 organizations on the state of AI security in the cloud...

How to Build a Lean Security Model: 5 Lessons from River Island

In today’s security landscape, budgets are tight, attack surfaces are sprawling, and new threats emerge daily. Maintaining a strong security posture under these circumstances without a large team or budget can be a real challenge. Yet lean security models are not only possible - they can be highl...

5 Things Security Leaders Need to Know About Agentic AI

From writing assistance to intelligent summarization, generative AI has already transformed the way businesses work. But we’re now entering a new phase where AI doesn’t just generate content, but takes independent action on our behalf. This next evolution is called ‘agentic AI’, and it’s moving...

Seven Security Challenges That Must Be Solved in Cross-Domain Multi-Agent LLM Systems

Large language models LLMs are rapidly evolving into autonomous agents that cooperate across organizational boundaries, enabling joint disaster response, supply-chain optimization, and other tasks that demand decentralized expertise without surrendering data ownership. Yet, cross-domain...

Large Language Models in the IoT Ecosystem -- a Survey on Security Challenges and Applications

The Internet of Things IoT and Large Language Models LLMs have been two major emerging players in the information technology era. Although there has been significant coverage of their individual capabilities, our literature survey sheds some light on the integration and interaction of LLMs and Io...

Passwords in the age of AI: We need to find alternatives

For decades, passwords have been our default method for keeping online accounts safe. But in the age of artificial intelligence, this traditional security method is facing challenges it was never built to withstand. A team at Cybernews conducted a study of over 19 billion newly exposed passwords...

The Identities Behind AI Agents: A Deep Dive Into AI & NHI

AI agents have rapidly evolved from experimental technology to essential business tools. The OWASP framework explicitly recognizes that Non-Human Identities play a key role in agentic AI security. Their analysis highlights how these autonomous software entities can make decisions, chain complex...

Unsolved Challenge: Why API Access Control Vulnerabilities Remain a Major Security Risk

Despite advancements in API security, access control vulnerabilities, such as broken object-level authentication BOLA and broken function-level authentication BFLA, remain almost impossible to detect. This blog will explore why these vulnerabilities are so difficult to detect, the limitations of...