18539 matches found
CyberStrikeAI v1.7.21
CyberStrikeAI 中文 | English The system of action for AI-native cybersecurity—where intent becomes governed execution, evidence becomes operational memory, and every operation improves the next. CyberStrikeAI connects planning, execution, human oversight, evidence, and replay in one auditable...
GitVault
GitOwl58 Obsidian Vault Complete CyberSecurity Beginners. Dashboard --- Graph Overview | Graph Color Groups Trust the author | Settings Installation - git clone https://github.com/GitOwl58/GitVault.git - Open Obsidian and select "Open folder as vault" - Select "GitVault" - A pop up will ask you i...
The State of Cybersecurity in 2026: Key Segments, Insights, and Innovations
Featuring: Cybersecurity is being reshaped by the expansion of cloud infrastructure, AI, distributed systems, and increasingly complex digital environments. As organizations manage more identities, devices, data, and internet-facing infrastructure, security is shifting toward continuous visibilit...
Forecasting Cybersecurity Incidents Using Geopolitical Data and Large Language Models
Predicting security incidents is a profound task critical for informing proactive defensive measures and cyber-insurance policies. Prior work tackling this problem mainly utilized structured, manually defined features based on network measurements e.g., protocol misconfigurations. Still, despite...
Malwarebytes earns another Top Product award in independent testing
Every few months, Malwarebytes gets a chance to test its mettle against real-world threats in an independent laboratory setting. And the latest round of results gives us plenty to celebrate. Malwarebytes earned a perfect 18 out of 18 and received another Top Product award from AV-TEST. We also...
KaliBench: A Fine-Grained Benchmark for Cybersecurity Tool Use on Kali Linux with Runtime-Free Verifiable Rewards
LLMs are increasingly applied to cybersecurity workflows, where they are expected to translate analysts' intent into tool invocations. However, existing evaluations focus on knowledge-based assessments or end-to-end agentic tasks, and do not directly measure LLMs' ability to generate executable...
scarlgyx-cybersecurity
Scarlgyx Cybersecurity Writeups, notas y herramientas de cibe...
HUST-CSE-cybersecurity-practice-3
Comprehensive Cybersecurity Practice Three This repository co...
SecProbe: Adaptive Evaluation of Coding Agents on Cybersecurity Vulnerabilities
Whitepaper called SecProbe: Adaptive Evaluation Of Coding Agents On Cybersecurity Vulnerabilities...
CCR: Towards a Common, Quality-Gated CACAO Integrations Registry for European Cybersecurity Automation
Standardised, machine-readable cybersecurity playbooks provide a basis for portable, shareable, and reusable incident-response logic. OASIS CACAO provides a vendor-neutral representation for such playbooks, but not the product-specific integration artefacts needed to invoke external products and...
On the Security and Privacy of LLMs in Mobility
The mobility sector is undergoing a paradigm shift driven by advances in Generative Artificial Intelligence. With a global market valued at approximately 2.9 trillion dollars annually, considering only cars, the integration of these technologies has the potential to impact more than 1.5 billion...
Gemini’s breach of real companies exposes an AI guardrail problem
Google says one of its Gemini models accessed systems belonging to three real companies during a cybersecurity evaluation in May. The model reportedly guessed credentials in one case, while finding exposed credentials in public repositories in two others. Google says Gemini stopped once it...
Reasoning Topology Matters: A Controlled Study of LLM-Based Cybersecurity Analysis
Large Language Models LLMs are increasingly used in cybersecurity, where accurate analysis often requires multi-step and context-dependent reasoning over complex and heterogeneous data. However, existing prompting approaches typically focus on eliciting reasoning without explicitly considering ho...
Should you care about an “AI slowdown?”
Welcome to this week's edition of the Threat Source newsletter. There's been a lot of talk recently about slowing down the pace of AI development. And yes, there are legitimate moral, ethical, geopolitical, and safety concerns with the use of AI. It's not clear yet whether an AI slowdown could...
MiST: Mid-Training LLMs for Cybersecurity
Cybersecurity combines high-stakes analysis with complex technical language, making it an impactful and challenging domain for LLMs. We present MiST Mid-trained Security Transformer, a suite of 8B and 32B models that achieve strong performance on public cybersecurity benchmarks. We use mid-traini...
CVE-2026-91752
creationtimestamp| type| source ---|---|--- 2026-09-15 16:45:02+00:00| seen| https://www.acn.gov.it/portale/w/vulnerabilita-in-prodotti-gnu 2026-09-15 20:05:57+00:00| seen| https://bsky.app/profile/cyfar.ca/post/3mvlge4g6lp2i 2026-09-15 20:15:03+00:00| seen|...
Evaluating the Impact of Personalization in Conversational Cybersecurity Assistants
Users increasingly turn to Large Language Models to answer a variety of questions, including cybersecurity questions. We study how personalization strategies can help improve the effectiveness of answers to questions asked to an LLM-based cybersecurity assistant. Beyond accuracy, we focus on the...
Exegol v5.1.12
Exegol is a comprehensive cybersecurity environment designed by offensive security experts, for fellow hackers, with its community. It solves the common pain points of traditional security distributions by providing a modular and reliable toolkit that's made for the field. Want to know more about...
Toward an Empirical Probabilistic Risk Manifestation Model of Organizational Cybersecurity in SMEs
In this paper, we present a cross-layer empirical study of organizational cybersecurity risk in Small and medium-sized enterprises SMEs, analyzing 281 validated security findings from 22 real-world SME cybersecurity assessments conducted over two years through a pro bono university cybersecurity...