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Rogue hacking AIs have changed the cybersecurity landscape

17/08/2026 - Attackers with no technical skills can now use AI models to find and exploit loopholes quickly and they can deploy them on a massive scale, raising fears that organisations without large budgets for...

DACRI: Decision-Aware Causal Intervention Ranking for Critical Supply Chains

- Detecting or attributing a supply-chain disruption is not the same as selecting the intervention that maximizes recoverable net value. We present CriticalSCM-Bench v1, a controlled synthetic...

Certify or Refuse: A Cross-Model Map for Selective Risk Control with Coverage Floors under Covariate Shift

- Certified selective predictors attain whatever coverage they attain; operators impose an automation floor: answer at least a $\beta$-fraction of shifted target traffic with at most an...

Curate Before You Connect: Identity and Ontology Tagging in a Production Knowledge Graph

- Extraction produces candidate entities and relationships; writing them into a graph is where identity is decided, and identity decisions are destructive in a way extraction errors are not. A wrong...

When the Interviewer Is a Bot: Behavior, Breakdowns, and Trust in MLLM-Led Interviews

- Semi-structured interviews are a cornerstone of qualitative research but remain labor-intensive. We report an empirical study of what actually happens when the interviewer is an off-the-shelf...

The CASE Framework: A Multi-Disciplinary Control Architecture for Governing Enterprise Agentic AI

- Enterprises are deploying autonomous AI agents faster than they can govern them, and prevailing approaches stretch a single discipline, typically DevSecOps built for deterministic automation, across...

FlowScout: From Execution Feedback to Reliable Tool-Using Agent Workflows

- Agentic workflows have become an important abstraction for building reliable LLM-based automation systems by organizing large language models (LLMs), tools, and control logic into explicit execution...

A full software stack for epidemic disease management: Unlocking the joint potential of software technology and supercomputing

- Infectious diseases remain a major threat to human societies. During the recent COVID-19 pandemic, mathematical modeling and extensive computer simulations proved highly effective in supporting...

Beyond headcount and human capital: The Effective Cognitive Population as a decomposable capacity unit for AI-era planning

- National planning counts population, human capital, and artificial-intelligence preparedness in separate ledgers. Demographic accounting has advanced from headcount to skills-adjusted stocks and...

Toward Intelligent Skies: Signal Processing and AI Foundations of Low-Altitude Wireless Networks

- The rapid growth of low-altitude aerial services and applications, driven by uncrewed aerial vehicles (UAVs), calls for a new class of digital infrastructure beyond conventional terrestrial networks....

Generative AI for Encrypted Traffic Analysis: Synthetic Dataset Generation and Classifier Evaluation

- Network traffic analysis faces significant challenges with encrypted communications, primarily due to limited visibility into packet contents and the inherent imbalance in available datasets,...

STAIR: Effective Incident Response Using an End-to-End Agentic Planning Framework

- Incident response planning is critical for restoring compromised software systems after cyberattacks. Common practice relies on expert-driven playbooks that encode fixed response procedures, but...

SiriusDeliver: Automating Data Warehouse Delivery at Tencent

- Enterprise data warehouses (DWs) support business-critical analytics, but warehouse task delivery remains a complicated production process involving context retrieval, workflow configuration, code...

Beyond Best Response: Quantal Stackelberg Deception as Insurance Against Attacker Misspecification

- Stackelberg Security Games (SSG) assume that an attacker observes the defender's strategy and chooses the target that maximizes their expected utility perfectly. In most realistic applications...

Toward Mask Annotation-Free Surgical Instrument Segmentation from Endoscopic Images Using Text-Prompted Segment Anything Model 3 (SAM3)

- Surgical instrument segmentation is a fundamental task for computer-assisted interventions, yet most existing methods rely on pixel-level annotations or manual spatial prompts, which limit...

Unaccountable Delegation, Fading Skills: Mapping the Risks of Workplace AI Agents

- To anticipate socio-technical risks from AI agents, organizations need taxonomies to classify them. However, existing AI risk taxonomies focus on broad risks and do not capture job-specific risks...

North Africa's Missing Framework: NLP-Driven Mental Healthcare in Algeria and Implications for Low-resource Settings

- Mental health disorders are a leading cause of disability worldwide, yet Natural Language Processing (NLP) research for mental healthcare has remained concentrated in high-income, English-language...

When Can Fraud Operations Authorize Automation? A Decision-Support Framework for Fresh Audit Evidence and Review Workload

- Fraud operations must allocate events among automatic approval, analyst review, and automatic blocking even though the labels needed to evaluate these actions are selective and delayed. Predictive...

VectraYX-Vision-1B: A Sub-2B Spanish/LATAM Cybersecurity Vision-Language Model with Structured Visual Reasoning and Native Tool Use

- We present VectraYX-Vision-1B, a sub-2B vision-language model (VLM) for Spanish/LATAM cybersecurity imagery, coupling a frozen SigLIP-so400m encoder to a 1.04B Spanish/LATAM security decoder via an...

Empirical Analysis of Cloud-Edge Infrastructure Complexity: Practitioner Pain Points and Architectural Directions

- The proliferation of cloud, edge, and Internet of Things (IoT) computing has created unprecedented opportunities for distributed applications. However, this architectural shift introduces profound...

Effect of Abstractions and Prompting Strategies on LLM-Guided High-Performance Optimizations

- Code performance optimization is a vital aspect of modern software development, as it enables faster response times and reduced resource usage. These optimizations require a deep understanding of...