Quantum Machine Learning

The meteoric rise of artificial intelligence in recent years has seen machine learning methods become ubiquitous in modern science, technology, and industry. Concurrently, the emergence of programmable quantum computers, coupled with the expectation that large-scale fault-tolerant machines will...

When Forgetting Triggers Backdoors: a Clean Unlearning Attack

Machine unlearning has emerged as a key component in ensuring Right to be Forgotten, enabling the removal of specific data points from trained models. However, even when the unlearning is performed without poisoning the forget-set clean unlearning, it can be exploited for stealthy attacks that...

SoK: Privacy-Enhancing Technologies in Artificial Intelligence

As artificial intelligence AI continues to permeate various sectors, safeguarding personal and sensitive data has become increasingly crucial. To address these concerns, privacy-enhancing technologies PETs have emerged as a suite of digital tools that enable data collection and processing while...

AIRTBench: Measuring Autonomous AI Red Teaming Capabilities in Language Models

We introduce AIRTBench, an AI red teaming benchmark for evaluating language models' ability to autonomously discover and exploit Artificial Intelligence and Machine Learning AI/ML security vulnerabilities. The benchmark consists of 70 realistic black-box capture-the-flag CTF challenges from the...

The Trip to ZigBee Backscatter across a Decade, a Systematic Review

The field of backscatter communication has undergone a profound transformation, evolving from a niche technology for radio-frequency identification RFID into a sophisticated paradigm poised to enable a truly battery-free Internet of Things IoT. This evolution is built upon a deepening understandi...

Five Uncomfortable Truths About LLMs in Production

Many tech professionals see integrating large language models LLMs as a simple process -just connect an API and let it run. At Wallarm, our experience has proved otherwise. Through rigorous testing and iteration, our engineering team uncovered several critical insights about deploying LLMs secure...

Tracking GPTs Third Party Service: Automation, Analysis, and Insights

ChatGPT has quickly advanced from simple natural language processing to tackling more sophisticated and specialized tasks. Drawing inspiration from the success of mobile app ecosystems, OpenAI allows developers to create applications that interact with third-party services, known as GPTs. GPTs ca...

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...

Securing Open RAN: a Survey of Cryptographic Challenges and Emerging Solutions for 5G

The advent of Open Radio Access Networks O-RAN introduces modularity and flexibility into 5G deployments but also surfaces novel security challenges across disaggregated interfaces. This literature review synthesizes recent research across thirteen academic and industry sources, examining...

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...

The Hidden Threat in Your Stack: Why Non-Human Identity Management is the Next Cybersecurity Frontier

Modern enterprise networks are highly complex environments that rely on hundreds of apps and infrastructure services. These systems need to interact securely and efficiently without constant human oversight, which is where non-human identities NHIs come in. NHIs — including application secrets, A...

SoK: Machine Unlearning for Large Language Models

Large language model LLM unlearning has become a critical topic in machine learning, aiming to eliminate the influence of specific training data or knowledge without retraining the model from scratch. A variety of techniques have been proposed, including Gradient Ascent, model editing, and...

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...

SoK: Are Watermarks in LLMs Ready for Deployment?

Large Language Models LLMs have transformed natural language processing, demonstrating impressive capabilities across diverse tasks. However, deploying these models introduces critical risks related to intellectual property violations and potential misuse, particularly as adversaries can imitate...

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...

You're Not Ready

Seems bad out there. Unfortunately, it can always get worse. From evil hacker AI to world-changing cyberattacks, WIRED envisions the future you haven't prepared for...

Key Takeaways from the Take Command Summit 2025: Risk Revolution – Proactive Strategies for Exposure Management

At the Take Command 2025 Virtual Cybersecurity Summit, a standout session titled Risk Revolution brought together Rapid7 product leaders and ESG analyst Tyler Shields to unpack the evolution of exposure management — and how organizations can build more context-driven, proactive risk strategies...

Why Quiet Expertise No Longer Wins Cybersecurity Clients

There's a graveyard of brilliant cybersecurity companies that no one has ever heard of. These firms had incredible…...

A Hitchhiker'S Guide to Privacy-Preserving Cryptocurrencies: a Survey on Anonymity, Confidentiality, and Auditability

Cryptocurrencies and central bank digital currencies CBDCs are reshaping the monetary landscape, offering transparency and efficiency while raising critical concerns about user privacy and regulatory compliance. This survey provides a comprehensive and technically grounded overview of...