Three Critical Facts About Cyber Risk Management

For CISOs responsible for cyber risk management, these three insights will help build a strong and reliable foundation for your proactive security strategy...

au.com.versent.jenkins.plugins:ignore-committer-strategy (>=29.v7c3891a_434c3 <=57.v0756db_b_f6926), br.com.ingenieux.jenkins.plugins:codecommit-url-helper (=0.0.1) +148 more potentially affected by CVE-2025-58458 via org.jenkins-ci.plugins:git-client (>=1.0.2 <=6.3.0)

org.jenkins-ci.plugins:git-client MAVEN version =1.0.2, =29.v7c3891a434c3, =1.0.5.0, =1.1.0, =1.9.2-beta, =1.9, =4.0.9, =1.1.0, =1.0.0, =1.0.1, =1.1.3, =1.7.2, =1.1.0, =1.0.0, =1.1.2 and more Source cves: CVE-2025-58458 Source advisory: OSV:GHSA-G2PQ-9JR7-W6GV...

MAL-2025-41456 Malicious code in @revizor/strategy-size (npm)

--- -= Per source details. Do not edit below this line.=-...

MAJIC: Markovian Adaptive Jailbreaking Via Iterative Composition of Diverse Innovative Strategies

Large Language Models LLMs have exhibited remarkable capabilities but remain vulnerable to jailbreaking attacks, which can elicit harmful content from the models by manipulating the input prompts. Existing black-box jailbreaking techniques primarily rely on static prompts crafted with a single,...

Defending a City from Multi-Drone Attacks: a Sequential Stackelberg Security Games Approach

To counter an imminent multi-drone attack on a city, defenders have deployed drones across the city. These drones must intercept/eliminate the threat, thus reducing potential damage from the attack. We model this as a Sequential Stackelberg Security Game, where the defender first commits to a mix...

Securing Sideways: Thwarting Lateral Movement by Implementing Active Directory Tiering

The advancement of computing equipment and the advances in services over the Internet has allowed corporations, higher education, and many other organizations to pursue the shared computing network environment. A requirement for shared computing environments is a centralized identity system to...

SUAD: Solid-Channel Ultrasound Injection Attack and Defense to Voice Assistants

As a versatile AI application, voice assistants VAs have become increasingly popular, but are vulnerable to security threats. Attackers have proposed various inaudible attacks, but are limited by cost, distance, or LoS. Therefore, we propose \nameAttack, a long-range, cross-barrier, and...

Strategic Deflection: Defending LLMs from Logit Manipulation

With the growing adoption of Large Language Models LLMs in critical areas, ensuring their security against jailbreaking attacks is paramount. While traditional defenses primarily rely on refusing malicious prompts, recent logit-level attacks have demonstrated the ability to bypass these safeguard...

Operationalizing Cloud Security: How PwC and Wiz Help Turn Risk into Resilience

PwC leverages Wiz to empower secure cloud transformation—bridging strategy, visibility, and execution...

Detecting and Visualizing Lateral Movement Attacks with Trellix Helix Connect

Detecting and Visualizing Lateral Movement Attacks with Trellix Helix Connect By Maulik Maheta and Adithya Chandra · July 17, 2025 Executive summary This blog marks the third installment in our series on detecting and visualizing lateral movement attacks with Trellix Helix Connect. A lateral...

​​Forrester names Microsoft a Leader in the 2025 Zero Trust Platforms Wave™ report

We are proud to share that Forrester has named Microsoft a Leader in The Forrester Wave™: Zero Trust Platforms, Q3 2025 report, ranking us highest in the strategy category. With so many strong vendors and solutions in the Zero Trust space, you need solid data to make the right choice for your...

EinHops: Einsum Notation for Expressive Homomorphic Operations on RNS-CKKS Tensors

Fully Homomorphic Encryption FHE is an encryption scheme that allows for computation to be performed directly on encrypted data, effectively closing the loop on secure and outsourced computing. Data is encrypted not only during rest and transit, but also during processing. However, FHE provides a...

RAG Safety: Exploring Knowledge Poisoning Attacks to Retrieval-Augmented Generation

Retrieval-Augmented Generation RAG enhances large language models LLMs by retrieving external data to mitigate hallucinations and outdated knowledge issues. Benefiting from the strong ability in facilitating diverse data sources and supporting faithful reasoning, knowledge graphs KGs have been...

Phantom Subgroup Poisoning: Stealth Attacks on Federated Recommender Systems

Federated recommender systems FedRec have emerged as a promising solution for delivering personalized recommendations while safeguarding user privacy. However, recent studies have demonstrated their vulnerability to poisoning attacks. Existing attacks typically target the entire user group, which...

CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset Separation

Deep Neural Networks DNNs are susceptible to backdoor attacks, where adversaries poison training data to implant backdoor into the victim model. Current backdoor defenses on poisoned data often suffer from high computational costs or low effectiveness against advanced attacks like clean-label and...

That Network Traffic Looks Legit, But it Could be Hiding a Serious Threat

With nearly 80% of cyber threats now mimicking legitimate user behavior, how are top SOCs determining what's legitimate traffic and what is potentially dangerous? Where do you turn when firewalls and endpoint detection and response EDR fall short at detecting the most important threats to your...

5 Cyber Trends That Should Be Shaping Your 2025 Security Strategy

Running short on time but still want to stay in the know? Well, we’ve got you covered! We’ve condensed all the key takeaways into a handy audio summary. Our AI-driven podcasts are fit for on the go. 2024 was the year cyber threats got faster, smarter, and far more lethal. Ransomware groups became...

Navigating cyber risks with Microsoft Security Exposure Management eBook

Imagine steering a vessel through Arctic waters where 90% of iceberg mass lies hidden beneath the surface; your lookouts equipped only with telescopes and blind to the submerged threats. This parallels today's cybersecurity landscape: According to the Microsoft Digital Defense Report 2024, nearly...

Automatic Selection of Protections to Mitigate Risks against Software Applications

This paper introduces a novel approach for the automated selection of software protections to mitigate MATE risks against critical assets within software applications. We formalize the key elements involved in protection decision-making - including code artifacts, assets, security requirements,...

From LLMs to MLLMs to Agents: a Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem

Large language models LLMs are rapidly evolving from single-modal systems to multimodal LLMs and intelligent agents, significantly expanding their capabilities while introducing increasingly severe security risks. This paper presents a systematic survey of the growing complexity of jailbreak...