Security Boulevard

How Cloud Monitor provides long-term value and consistent student protection in Google Workspace In Centerville, Tennessee, Hickman County School District serves approximately 2,500 students across nine schools with a small but highly capable technology team. Leading that effort is Brad Gilbert, Director of Technology, a forward-thinking IT leader who has long recognized that student safety ...

The post Ahead of the Curve: Hickman County School District’s Proactive Approach to Student Safety appeared first on ManagedMethods Cybersecurity, Safety & Compliance for K-12.

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Here are three papers describing different side-channel attacks against LLMs.

“Remote Timing Attacks on Efficient Language Model Inference“:

Abstract: Scaling up language models has significantly increased their capabilities. But larger models are slower models, and so there is now an extensive body of work (e.g., speculative sampling or parallel decoding) that improves the (average case) efficiency of language model generation. But these techniques introduce data-dependent timing characteristics. We show it is possible to exploit these timing differences to mount a timing attack. By monitoring the (encrypted) network traffic between a victim user and a remote language model, we can learn information about the content of messages by noting when responses are faster or slower. With complete black-box access, on open source systems we show how it is possible to learn the topic of a user’s conversation (e.g., medical advice vs. coding assistance) with 90%+ precision, and on production systems like OpenAI’s ChatGPT and Anthropic’s Claude we can distinguish between specific messages or infer the user’s language. We further show that an active adversary can leverage a boosting attack to recover PII placed in messages (e.g., phone numbers or credit card numbers) for open source systems. We conclude with potential defenses and directions for future work...

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Quantum computers won’t break the internet tomorrow… but they will break your email security sooner than you think. Today, cybercriminals and state-sponsored groups are quietly collecting encrypted emails in bulk. They know they can’t crack the encryption today. That’s fine. They don’t need to. They’re playing the long game. This tactic has a name: Store-Now-Decrypt-LaterRead More

The post Post-Quantum Cryptography for DKIM, PGP, and S/MIME: Quantum Threat to Email Security appeared first on EncryptedFence by Certera - Web & Cyber Security Blog.

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The rapid adoption of Large Language Models (LLMs) is transforming how SaaS platforms and enterprise applications operate. From embedded copilots and automated support agents to internal knowledge-base search and workflow automation, organisations are increasingly integrating LLM APIs into existing services to deliver faster and more intuitive user experiences. Nevertheless, as adoption accelerates, so too does…

The post Large Language Model (LLM) integration risks for SaaS and enterprise appeared first on Sentrium Security.

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A hobby coding experiment reportedly exposed live camera feeds, microphones, and floor plans from thousands of robot vacuums worldwide.

The post Hobby coder accidentally creates vacuum robot army appeared first on Security Boulevard.

Discover how European biometric passports work. Explore RFID chips, Data Groups (DG1-DG3), MRZ encryption, and the tech behind the Schengen Entry/Exit System.

The post Information Stored in European Passports appeared first on Security Boulevard.

Locked out? Learn what an SSO code actually is, where to find your company domain, and how to solve common login errors in Zoom, Slack, and Salesforce.

The post What Is a Single Sign-On (SSO) Code? appeared first on Security Boulevard.

Could the Innovation in Non-Human Identities Be the Key to Enhanced Secrets Security? Where progressively leaning towards automation and digital transformation, how can we ensure that the creation and management of Non-Human Identities (NHIs) maintain robust security and compliance? Machine identities, better known as NHIs, are becoming pivotal in cybersecurity solutions across various industries, including […]

The post How does innovation in NHIs contribute to better secrets security? appeared first on Entro.

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How Can Non-Human Identities Reshape Cybersecurity in Crisis Management? Have you ever considered the hidden guardians of digital infrastructure? These are the often overlooked Non-Human Identities (NHIs), which are pivotal in managing cybersecurity threats across various industries. Understanding NHIs and their significance is imperative within the context of crisis management strategies, especially when organizations increasingly […]

The post Why does Agentic AI provide a calm approach to crisis management? appeared first on Entro.

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The Importance of Managing Non-Human Identities in Cloud Security What’s the real cost of neglecting Non-Human Identities (NHIs) in your cybersecurity strategy? When organizations increasingly move to the cloud, understanding and managing NHIs is crucial to ensuring robust, comprehensive security. NHIs, primarily comprised of machine identities, use encrypted secrets like passwords, tokens, or keys to […]

The post How adaptable are Agentic AI systems to evolving cyber threats? appeared first on Entro.

The post How adaptable are Agentic AI systems to evolving cyber threats? appeared first on Security Boulevard.

Why is Managing Non-Human Identities Essential for Cybersecurity? Have you ever wondered how secure your cloud environment truly is in interconnected digital? When organizations increasingly migrate their operations to the cloud, the management of Non-Human Identities (NHIs) and Secrets Security Management becomes more critical. These elements are pivotal for closing the security gaps that can […]

The post How are stakeholders reassured by enhanced secrets scanning methodologies? appeared first on Entro.

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Session 12C: Membership Inference

Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi Lai (CSIRO Data61), Xun Yi (RMIT University), Xingliang Yuan (University of Melbourne)

PAPER
SIGuard: Guarding Secure Inference with Post Data Privacy

Secure inference is designed to enable encrypted machine learning model prediction over encrypted data. It will ease privacy concerns when models are deployed in Machine Learning as a Service (MLaaS). For efficiency, most of recent secure inference protocols are constructed using secure multi-party computation (MPC) techniques. They can ensure that MLaaS computes inference without knowing the inputs of users and model owners. However, MPC-based protocols do not hide information revealed from their output. In the context of secure inference, prediction outputs (i.e., inference results of encrypted user inputs) are revealed to the users. As a result, adversaries can compromise output privacy of secure inference, i.e., launching Membership Inference Attacks (MIAs) by querying encrypted models, just like MIAs in plaintext inference. We observe that MPC-based secure inference often yields perturbed predictions due to approximations of nonlinear functions like softmax compared to its plaintext version on identical user inputs. Thus, we evaluate whether or not MIAs can still exploit such perturbed predictions on known secure inference protocols. Our results show that secure inference remains vulnerable to MIAs. The adversary can steal membership information with high successful rates comparable to plaintext MIAs. To tackle this open challenge, we propose SIGuard, a framework to guard the output privacy of secure inference from being exploited by MIAs. SIGuard's protocol can seamlessly be integrated into existing MPC-based secure inference protocols without intruding on their computation. It proceeds with encrypted predictions outputted from secure inference, and then crafts noise for perturbing encrypted predictions without compromising inference accuracy; only the perturbed predictions are revealed to users at the end of protocol execution. SIGuard achieves stringent privacy guarantees via a co-design of MPC techniques and machine learning. We further conduct comprehensive evaluations to find the optimal hyper-parameters for balanced efficiency and defense effectiveness against MIAs. Together, our evaluation shows SIGuard effectively defends against MIAs by reducing the attack accuracy to be around the random guess with overhead (1.1s), occupying ~24.8% of secure inference (3.29s) on widely used ResNet34 over CIFAR-10.

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.

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In many law firms today, leadership believes their data is secure. Policies are documented, annual reviews are completed, and vendor questionnaires are answered with confidence. On paper, the safeguards look strong.

Related: The cost of law firm breaches

Yet in … (more…)

The post GUEST ESSAY: The hidden risks lurking beneath legal AI — permission sprawl, governance drift first appeared on The Last Watchdog.

The post GUEST ESSAY: The hidden risks lurking beneath legal AI — permission sprawl, governance drift appeared first on Security Boulevard.

via the comic artistry and dry wit of Randall Munroe, creator of XKCD

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Session 12C: Membership Inference

Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman (University of British Columbia)

PAPER
A Method to Facilitate Membership Inference Attacks in Deep Learning Models

Modern machine learning (ML) ecosystems offer a surging number of ML frameworks and code repositories that can greatly facilitate the development of ML models. Today, even ordinary data holders who are not ML experts can apply off-the-shelf codebase to build high-performance ML models on their data, many of which are sensitive in nature (e.g., clinical records).

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.

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The post NDSS 2025 – A Method To Facilitate Membership Inference Attacks In Deep Learning Models appeared first on Security Boulevard.

ChiBrrCon 2026 tackled AI, resilience, and operational agility in enterprise security. Learn what top speakers shared on SOC modernization and architectural risk.

The post AI Is Making Security More Agile: Highlights from ChiBrrCon 2026 appeared first on Security Boulevard.

A software developer has created ClawBands, a project on GItHub that is designed to put human-in-the-loop controls on OpenClaw, the highly popular personal AI assistant that comes with a range of security risks. At the same time, OpenClaw developer Peter Steinberger is being hired by OpenAI to continue working on such AI agents.

The post ClawBands GitHub Project Looks to Put Human Controls on OpenClaw AI Agents appeared first on Security Boulevard.

Learn when SaaS teams should adopt passwordless authentication to boost security, reduce friction, and accelerate secure product development.

The post Building Secure Authentication Faster: When SaaS Teams Should Go Passwordless appeared first on Security Boulevard.

Why D3 Morpheus’s alert-native autonomy delivers true L2+ investigation, self-healing integrations, and faster time-to-value without the engineering burden.

The post Don’t Settle for an AI SOAR: The Case for Autonomous SOC Operations appeared first on D3 Security.

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Learn how PIM login security protects product data with strong authentication, access controls, and secure identity management.

The post PIM Login Security appeared first on Security Boulevard.