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.
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.
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 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 aΒ code qualityΒ 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 reduceΒ security risks 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 itβs faster and more cost-efficient than you think 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 Presenterβs superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.
The post NDSS 2025 β 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 Munroeβs XKCD βHeart Mountainβ appeared first on Security Boulevard.
3 min readAs AI platforms grow more complex and interdependent, small failures can cast long shadows. Thatβs what happened inside the open-source CrewAI platform, where a vulnerability in its error-handling logic surfaced during a provisioning failure. The resulting βexception responseβ β the message a service returns when it encounters an unhandled error during a request β contained [β¦]
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.
If you landed here after searching for something like βbrowser fingerprint testβ, βbot detection APIβ, or βKameleo anti-detect browserβ, then welcome. The search engine did its job, and so did we.
Letβs be honest. The internet is full of low-quality SEO pages
The post Because fraud detection deserves better than another AI-written SEO page appeared first on Security Boulevard.
Every November and December, online retailers gear up for their biggest revenue surge of the year. But while the traffic and transactions climb, so does the threat level. Cybercriminals know exactly when customer activity (and the pressure on retail systems) is at its highest and theyβre automating their attacks to exploit it. Why retailers are [β¦]
The post How Thales Protects Online Retail Sites from AI-Driven Bots during Holiday Shopping Season appeared first on Blog.
The post How Thales Protects Online Retail Sites from AI-Driven Bots during Holiday Shopping Season appeared first on Security Boulevard.
With Thales HQ in Paris, it felt right to detour to the MusΓ©e Rodin and stand before The Thinker, the bronze giant by Auguste Rodin whose clenched posture and chin-in-hand stance have become a universal symbol of deep judgment. Conceived for The Gates of Hell in 1880 and first cast monumentally in 1904, The Thinker [β¦]
The post Paris, The Thinker, and why your WAF should block XSS by default appeared first on Blog.
The post Paris, The Thinker, and why your WAF should block XSS by default 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 Presenterβs superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.
The post NDSS 2025 β Machine Learning-Based loT Device Identification Models For Security Applications 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.
Learn how to choose the right virtual data room for your startup with pricing models, key features, cost factors, and tips to secure the best VDR deal.
The post How to Choose the Right Virtual Data Room for Your Startup appeared first on Security Boulevard.
Every month, we publish a snapshot of the email domains most actively used in fake account creation and related abuse across the websites and apps protected by Castle. The goal is to give fraud and security teams better visibility into the attacker-controlled email infrastructure that rarely appears in public blocklists
The post Fraudulent email domain tracker: November 2025 appeared first on Security Boulevard.
Explore Secure by Design principles for Enterprise SSO. Learn how to integrate security into your SSO architecture early for robust protection and compliance.
The post Secure by Design Principles appeared first on Security Boulevard.
The post CVE-2025-50165: This Windows JPEG Vulnerability Proves Detection Isnβt Enough appeared first on Votiro.
The post CVE-2025-50165: This Windows JPEG Vulnerability Proves Detection Isnβt Enough appeared first on Security Boulevard.
Explore the security of passkeys: how they work, their advantages over passwords, potential risks, and best practices for secure implementation in software development.
The post Understanding the Security of Passkeys appeared first on Security Boulevard.
Why Are Non-Human Identities Essential for Modern Cybersecurity Strategies? Have organizations truly secured their cloud environments from lurking cyber threats? With the increasing reliance on technology, the management of Non-Human Identities (NHIs) becomes a pivotal aspect of cybersecurity strategies. These machine identities, entwined with secrets like encrypted passwords or tokens, play a crucial role in [β¦]
The post Is investing in advanced NHIs justified? appeared first on Entro.
The post Is investing in advanced NHIs justified? appeared first on Security Boulevard.
Are Non-Human Identities the Key to Secure Cloud Environments? How do we ensure our systems remain secure, especially when it comes to machine identities and their secrets? The management of Non-Human Identities (NHIs) is a crucial aspect of cybersecurity, offering a comprehensive approach to protecting machine identities and their associated credentials in the cloud. Understanding [β¦]
The post Am I free to choose different Agentic AI frameworks? appeared first on Entro.
The post Am I free to choose different Agentic AI frameworks? appeared first on Security Boulevard.
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