CVE-2026-9909

creationtimestamp| type| source ---|---|--- 2026-05-28 18:00:00+00:00| seen| https://www.hkcert.org/security-bulletin/google-chrome-multiple-vulnerabilities20260529 2026-05-28 18:00:00+00:00| seen| https://www.hkcert.org/security-bulletin/microsoft-edge-multiple-vulnerabilities20260529 2026-05-29...

An Organization-Scoped LLM Agent Runtime Architecture for Regulated Cybersecurity Operations

Regulated cybersecurity workflows lack a runtime substrate that enforces organization-level scope across retrieval, tool calls, memory, findings, reports, and audit while remaining model-agnostic and locally deployable. Recent large language model LLM agent systems report strong results on isolat...

Automatically Attacking Software Reverse Engineering AI Agents

Software tools for reverse engineering executable binary files, such as Ghidra, enable malware analysts to safely conduct robust static analysis without having access to original source code. Coupled with the analytic power of large language models LLM, agentic systems enabled with tools, such as...

iitj-cybersec

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Cybersecurity AI (CAI) Dataset

We present CAI Dataset, a fourteen-month corpus of cybersecurity LLM trajectories collected through the open-source CAI agent framework, built in response to PentestGPT's finding that expert operator trajectories, not base-model capability, are the bottleneck for cybersecurity LLM performance. CA...

Towards Cybersecurity SuperIntelligence (CSI): What'S the Best Harness for Cybersecurity?

What is the best harness for cybersecurity AI? Cybersecurity systems are converging on a single execution scaffold per agent, an iterative shell loop driven by a Large Language Model LLM. However, scaffolds are not interchangeable, rarely interoperable, and no single scaffold dominates across all...

CVE-2026-48095

creationtimestamp| type| source ---|---|--- 2026-05-26 12:30:49+00:00| seen| https://t.me/SEReborn/6386 2026-05-26 13:42:30+00:00| seen| https://bsky.app/profile/cybersecurity.page/post/3mmr4pdgnkl25 2026-05-26 17:09:01+00:00| seen| https://bsky.app/profile/blackhatnews.tokyo/post/3mmrialzedq2u...

CVE-2026-7251

creationtimestamp| type| source ---|---|--- 2026-05-26 05:00:00+00:00| seen| https://www.cisa.gov/news-events/ics-medical-advisories/icsma-26-146-01 2026-05-26 20:03:26+00:00| seen| https://bsky.app/profile/boredchilada.bsky.social/post/3mmrryieg2w23...

Hitachi Energy MACH HiDraw

SUMMARY Hitachi Energy is aware of a buffer overflow vulnerability that affects MACH HiDraw product versions listed in this document. Successful exploitation of this vulnerability could lead to a buffer overflow condition, potentially resulting in application outages denial of service and...

NIST Cybersecurity Framework and CTEM Alignment

The NIST Cybersecurity Framework gives security leaders a common language for managing cyber risk, but it does not tell teams which exposed asset to fix first on Monday morning. Continuous Threat Exposure Management fills that execution gap. When the NIST cybersecurity framework and CTEM are...

Routing Cybersecurity Awareness Training by FFM Personality Trait: A Quasi-Experimental Evaluation

Cybersecurity awareness training has historically adopted a one-size-fits-all approach, despite established individual differences in how users process and retain security information. Personality has been proposed as one axis along which training content might be tailored; yet no prior study has...

CyberMaskQA: A Privacy-Aware Benchmark for Evaluating Large Language Models in Cybersecurity Question Answering

Large language models LLMs are increasingly applied to cybersecurity question answering QA for critical tasks such as incident response and vulnerability analysis. However, real-world operational contexts, including system logs and network configurations, inherently contain sensitive identifiers,...

Cybersecurity of Electric Vehicle Charging Infrastructure: Recent Advances, Open Challenges, and Future Directions

Electric Vehicles EVs have emerged as significant disruptors in the transportation sector over the past decade. Their growing popularity and adoption are accompanied by capital expenditures to deploy charging infrastructure. EV charging infrastructure sits at the intersection of the power grid, t...

Are Frontier LLMs Ready for Cybersecurity? Evidence for Vertical Foundation Models from Dual-Mode Vulnerability Benchmarks

We evaluate whether frontier LLMs are ready for cybersecurity through a dual-mode benchmark: white-box function-level vulnerability detection VulnLLM-R, across C/Java/Python and black-box web application security testing five production-style applications with 118 ground-truth vulnerabilities...

Human Vulnerability Assessment in Cybersecurity: A Systematic Literature Review of Methods, Models, and Instruments

In cybersecurity, vulnerability assessment has typically focused on identifying and measuring vulnerabilities within digital assets and technical infrastructures. However, there is growing recognition that this approach alone is inadequate without a structured examination of the human factor, whi...

Market-Analysis-Driven Methodology for Assessing Charging Station Cybersecurity

Modern charging communication standards for electric vehicles include optional security controls such as TLS-based authentication and encryption. However, with tens of thousands of fast charging points deployed in any given country, individually testing each one for security control support is...

Detecting Offensive Cyber Agents: A Detection-In-Depth Approach

Artificial Intelligence AI agents can now orchestrate cyberattacks. This development is already increasing the speed and scale of cyber attacks, decreasing attack costs, and improving the operational autonomy of cyber capabilities. To defend against these emerging threats, actors must first devel...

Pwn2Own Berlin 2026 Closes With $1.3 Million in Zero-Day Payouts

Cybersecurity researchers successfully demonstrated 47 unique zero-day exploits at Pwn2Own Berlin 2026, targeting major enterprise software and AI platforms...

10 Tips for Phrasing Employee Feedback in Reviews

Performance reviews inside cybersecurity teams carry unusually high stakes. Security analysts, incident responders, IT administrators, and compliance staff…...

Agent Security Is a Systems Problem

We take the position that agent security must be approached as a systems problem: the AI model powering the agent must be treated as an untrusted component, and security invariants must be enforced at the system level. Through this lens, efforts to increase model robustness the dominant viewpoint...