Here's your daily roundup of the most relevant AI and ML news for February 19, 2026. Today's digest includes 2 security-focused stories. We're also covering 6 research developments. Click through to read the full articles from our curated sources.
Security & Safety
1. Ask HN: What makes AI agent runtime logs defensible under adversarial audit?
Modern AI agents can execute tools, write to databases, and trigger irreversible actions.Most teams rely on traditional logging (OpenTelemetry, SIEM, DB audit logs). But under adversarial conditions (audit, litigation, incident response), those logs depend on platform trust and cannot typically b...
Source: Hacker News - ML Security | 2 hours ago
2. Show HN: I built Aegis AI – An Agentic Home Security w/ GPT+Local VLM on Mac/PC
Article URL: https://www.sharpai.org Comments URL: https://news.ycombinator.com/item?id=47079348 Points: 1
Comments: 1
Source: Hacker News - ML Security | 2 hours ago
Research & Papers
3. Recursive language models for jailbreak detection: a procedural defense for tool-augmented agents
arXiv:2602.16520v1 Announce Type: cross Abstract: Jailbreak prompts are a practical and evolving threat to large language models (LLMs), particularly in agentic systems that execute tools over untrusted content. Many attacks exploit long-context hiding, semantic camouflage, and lightweight obfus...
Source: arXiv - AI | 18 hours ago
4. Closing the Distribution Gap in Adversarial Training for LLMs
arXiv:2602.15238v2 Announce Type: replace-cross Abstract: Adversarial training for LLMs is one of the most promising methods to reliably improve robustness against adversaries. However, despite significant progress, models remain vulnerable to simple in-distribution exploits, such as rewriting p...
Source: arXiv - AI | 18 hours ago
5. UCTECG-Net: Uncertainty-aware Convolution Transformer ECG Network for Arrhythmia Detection
arXiv:2602.16216v1 Announce Type: cross Abstract: Deep learning has improved automated electrocardiogram (ECG) classification, but limited insight into prediction reliability hinders its use in safety-critical settings. This paper proposes UCTECG-Net, an uncertainty-aware hybrid architecture tha...
Source: arXiv - AI | 18 hours ago
6. Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model
arXiv:2602.16422v1 Announce Type: cross Abstract: Generating diagnostic text from histopathology whole slide images (WSIs) is challenging due to the gigapixel scale of the input and the requirement for precise, domain specific language. We propose a hierarchical vision language framework that co...
Source: arXiv - AI | 18 hours ago
7. Intra-Fairness Dynamics: The Bias Spillover Effect in Targeted LLM Alignment
arXiv:2602.16438v1 Announce Type: cross Abstract: Conventional large language model (LLM) fairness alignment largely focuses on mitigating bias along single sensitive attributes, overlooking fairness as an inherently multidimensional and context-specific value. This approach risks creating syste...
Source: arXiv - AI | 18 hours ago
8. A Review of Fairness and A Practical Guide to Selecting Context-Appropriate Fairness Metrics in Machine Learning
arXiv:2411.06624v4 Announce Type: replace Abstract: Recent regulatory proposals for artificial intelligence emphasize fairness requirements for machine learning models. However, precisely defining the appropriate measure of fairness is challenging due to philosophical, cultural and political con...
Source: arXiv - AI | 18 hours ago
About This Digest
This digest is automatically curated from leading AI and tech news sources, filtered for relevance to AI security and the ML ecosystem. Stories are scored and ranked based on their relevance to model security, supply chain safety, and the broader AI landscape.
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