Claymont, Delaware, 1st December 2025, CyberNewsWire
The post Kevin Lancaster Joins the usecure Board to Accelerate North American Channel Growth appeared first on Security Boulevard.
Learn how to implement granular access control policies in post-quantum AI environments to protect against advanced threats. Discover strategies for securing Model Context Protocol deployments with quantum-resistant encryption and context-aware access management.
The post Granular Access Control Policies for Post-Quantum AI Environments appeared first on Security Boulevard.
The Cybersecurity Coalition, an industry group of almost a dozen vendors, is urging the Trump Administration and Congress now that the government shutdown is over to take a number of steps to strengthen the country's cybersecurity posture as China, Russia, and other foreign adversaries accelerate their attacks.
The post Cybersecurity Coalition to Government: Shutdown is Over, Get to Work appeared first on Security Boulevard.
Explore post-quantum key exchange methods for securing Model Context Protocol (MCP) authentication. Learn about PQuAKE, implementation strategies, and future-proofing AI infrastructure against quantum threats.
The post Post-Quantum Key Exchange for MCP Authentication appeared first on Security Boulevard.
Alisa Viejo, CA, USA, 27th November 2025, CyberNewsWire
The post One Identity Safeguard Named a Visionary in the 2025 Gartner Magic Quadrant for PAM appeared first on Security Boulevard.
Tel Aviv, Israel, 27th November 2025, CyberNewsWire
The post Quttera Launches “Evidence-as-Code” API to Automate Security Compliance for SOC 2 and PCI DSS v4.0 appeared first on Security Boulevard.
Explore real-time anomaly detection techniques using post-quantum secure aggregation for AI infrastructure. Learn how to protect Model Context Protocol (MCP) deployments against quantum threats.
The post Real-time Anomaly Detection with Post-Quantum Secure Aggregation. appeared first on Security Boulevard.
The FBI says that account takeover scams this year have resulted in 5,100-plus complaints in the U.S. and $262 million in money stolen, and Bitdefender says the combination of the growing number of ATO incidents and risky consumer behavior is creating an increasingly dangerous environment that will let such fraud expand.
The post FBI: Account Takeover Scammers Stole $262 Million this Year appeared first on Security Boulevard.
Session 4B: Audio Security
Authors, Creators & Presenters:
PAPER
VoiceRadar: Voice Deepfake Detection using Micro-Frequency And Compositional Analysis
Recent advancements in synthetic speech generation, including text-to-speech (TTS) and voice conversion (VC) models, allow the generation of convincing synthetic voices, often referred to as audio deepfakes. These deepfakes pose a growing threat as adversaries can use them to impersonate individuals, particularly prominent figures, on social media or bypass voice authentication systems, thus having a broad societal impact. The inability of state-of-the-art verification systems to detect voice deepfakes effectively is alarming. We propose a novel audio deepfake detection method, VoiceRadar, that augments machine learning with physical models to approximate frequency dynamics and oscillations in audio samples. This significantly enhances detection capabilities. VoiceRadar leverages two main physical models: (i) the Doppler effect to understand frequency changes in audio samples and (ii) drumhead vibrations to decompose complex audio signals into component frequencies. VoiceRadar identifies subtle variations, or micro-frequencies, in the audio signals by applying these models. These micro-frequencies are aggregated to compute the observed frequency, capturing the unique signature of the audio. This observed frequency is integrated into the machine learning algorithm's loss function, enabling the algorithm to recognize distinct patterns that differentiate human-produced audio from AI-generated audio. We constructed a new diverse dataset to comprehensively evaluate VoiceRadar, featuring samples from leading TTS and VC models. Our results demonstrate that VoiceRadar outperforms existing methods in accurately identifying AI-generated audio samples, showcasing its potential as a robust tool for audio deepfake detection.
ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
Our thanks to the Network and Distributed System Security (NDSS) Symposium for publishing their Creators, Authors and Presenter’s superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.
The post NDSS 2025 – VoiceRadar: Voice Deepfake Detection Using Micro-Frequency And Compositional Analysis appeared first on Security Boulevard.
via the comic artistry and dry wit of Randall Munroe, creator of XKCD
The post Randall Munroe’s XKCD ‘Heart Mountain’ appeared first on Security Boulevard.
According to the Thales Consumer Digital Trust Index 2025, global confidence in digital services is slipping fast. After surveying more than 14,000 consumers across 15 countries, the findings are clear: no sector earned high trust ratings from even half its users. Most industries are seeing trust erode — or, at best, stagnate. In an era..
The post The Trust Crisis: Why Digital Services Are Losing Consumer Confidence appeared first on Security Boulevard.
Peak e-commerce season hits retailers every year just as the Halloween decorations start to come down. Unsurprisingly, cyber criminals see this time as an opportunity to strike, and criminal activity online spikes alongside sales. Shockingly, 4.6% of attempted e-commerce transactions during the 2024 Black Friday period were suspected to be digital fraud. In the UK..
The post How to Protect from Online Fraud This Holiday Season appeared first on Security Boulevard.
3 min readAs AI platforms grow more complex and interdependent, small failures can cast long shadows. That’s what happened inside the open-source CrewAI platform, where a vulnerability in its error-handling logic surfaced during a provisioning failure. The resulting “exception response” – the message a service returns when it encounters an unhandled error during a request – contained […]
The post CrewAI GitHub Token Exposure Highlights the Growing Risk of Static Credentials in AI Systems appeared first on Aembit.
The post CrewAI GitHub Token Exposure Highlights the Growing Risk of Static Credentials in AI Systems appeared first on Security Boulevard.
The Russian state-sponsored group behind the RomCom malware family used the SocGholish loader for the first time to launch an attack on a U.S.-based civil engineering firm, continuing its targeting of organizations that offer support to Ukraine in its ongoing war with its larger neighbor.
The post Russian-Backed Threat Group Uses SocGholish to Target U.S. Company appeared first on Security Boulevard.
The common perception is that a security vulnerability is a rare, complex attack pattern. In reality, the journey of most flaws begins much earlier and much more simply: as a code quality issue. For both developers and security practitioners, understanding this lifecycle is crucial to building secure, reliable, and maintainable software.
The post Why prioritizing code quality is the fastest way to reduce security risks appeared first on Security Boulevard.
Session4A: IoT Security
Authors, Creators & Presenters: Eman Maali (Imperial College London), Omar Alrawi (Georgia Institute of Technology), Julie McCann (Imperial College London)
PAPER
Evaluating Machine Learning-Based IoT Device Identification Models for Security Applications
With the proliferation of IoT devices, network device identification is essential for effective network management and security. Many exhibit performance degradation despite the potential of machine learning-based IoT device identification solutions. Degradation arises from the assumption of static IoT environments that do not account for the diversity of real-world IoT networks, as devices operate in various modes and evolve over time. In this paper, we evaluate current IoT device identification solutions using curated datasets and representative features across different settings. We consider key factors that affect real-world device identification, including modes of operation, spatio-temporal variations, and traffic sampling, and organise them into a set of attributes by which we can evaluate current solutions. We then use machine learning explainability techniques to pinpoint the key causes of performance degradation. This evaluation uncovers empirical evidence of what continuously identifies devices, provides valuable insights, and practical recommendations for network operators to improve their IoT device identification in operational deployments
ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
Our thanks to the Network and Distributed System Security (NDSS) Symposium for publishing their Creators, Authors and Presenter’s superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.
The post NDSS 2025 – Machine Learning-Based loT Device Identification Models For Security Applications appeared first on Security Boulevard.
SSL automation is easier than most organizations think, delivering 243% ROI, fewer outages, and readiness for 47-day SSL certificates.
The post Effortless SSL automation: why it’s faster and more cost-efficient than you think appeared first on Security Boulevard.
It is the right time to talk about this. Cloud-based Artificial Intelligence, or specifically those big, powerful Large Language Models we see everywhere, they’ve completely changed the game. They’re more than just a new application tier. They’re an entirely new attack surface. You’ve moved your critical applications to the public cloud. You did it for..
The post The Attack Surface of Cloud-Based Generative AI Applications is Evolving appeared first on Security Boulevard.
Cary, North Carolina, USA, 26th November 2025, CyberNewsWire
The post INE Expands Cross-Skilling Innovations appeared first on Security Boulevard.
Learn how video translation enhances multilingual SSO and IAM training, improves security, boosts user adoption, and ensures global compliance for organizations.
The post How Video Translation Enhances Multilingual User Training for SSO and Access Management Systems appeared first on Security Boulevard.
