#anomaly-detection — Public Fediverse posts

Почему никто не объясняет аномалии во временных рядах?

Недавно встретились с коллегой за кружкой кофе, без всякой рабочей повестки. Он занимается Data Science, я — backend‑разработкой. Разговор как‑то незаметно, как это обычно бывает, свернул в сторону обсуждения рабочих нюансов, а самый обычный вопрос про очередной график в дашборде — закончился идеей проекта, который в итоге вырос в open‑source фреймворк. В какой‑то момент он сказал фразу, которая неожиданно зацепила:

https://habr.com/ru/articles/1066070/

#python #open_source #timeseries #анализ_данных #anomalydetection #llm #datascience #программирование #datamining #поиск_информации

BM25 против эмбеддингов, Protocol против наследования: как рождался фреймворк WhyTrend

В прошлой статье я рассказывал про WhyTrend — open-source инструмент, который не просто находит аномалии во временных рядах, а пытается объяснить, почему они произошли: собирает внешний контекст (новости, Hacker News, Wikipedia) и формирует объяснение со ссылками на источники. Если коротко: идея выросла из наблюдения, что находить аномалии мы научились отлично, а вот объяснять их до сих пор приходится вручную — гуглить, листать Reddit и Slack, собирать гипотезу самому. Эта статья — про внутреннюю кухню: почему WhyTrend в итоге оказался фреймворком, а не очередной библиотекой, и какие архитектурные решения к этому привели.

https://habr.com/ru/articles/1066000/

#python #opensource #timeseries #анализданных #anomalydetection #llm #архитектура #программирование #data_mining #поиск_информации

Anomaly detection in fintech fraud systems identifies transactions that deviate significantly from an established behavioral baseline for a specific user or account.

#Fintech #AnomalyDetection

Stop using "High/Medium/Low" labels for boardroom risk. It’s an insult to the math.

​The HFY Coefficient is a deterministic 0-100 scalar. We feed Shiki’s Latent Vectors into an Isolation Forest (iForest) engine and run 100,000-iteration "Kill-Shot" simulations.

​HFY = np.clip((0.5 - iForest.decision_function) * 100, 0, 100)

​It measures the exact mathematical distance between a vendor's reality and structural collapse. 📉

​#DataScience #AnomalyDetection #RiskEngineering #Math

Retail security is moving from “review footage later” to prevent incidents in real time.
know more:https://zurl.co/O6iPL
#Smidmart #AIVision #RetailSecurity #TheftPrevention #LossPrevention #ComputerVision #VideoAnalytics #SmartRetail #AnomalyDetection #StoreOperations

Security is moving from “watching cameras” to understanding scenes. 👁️🛡️
know more:https://zurl.co/9lOtO
#Smidmart #AIVision #ComputerVision #SmartSecurity #VideoAnalytics #AnomalyDetection #IntrusionDetection #Surveillance #SecurityAutomation #SmartInfrastructure #IoT

You already know that you can visualize your metrics from #Prometheus in #OpenSearch Dashboard's Discover Metrics experience (if not, check the comments).

But what if we could add some #AI sauce to detect anomalies and extrapolate forecasts?

Check out the new RFC for time series #anomalyDetection and #forecasting in @OpenSearchProject and chime in with your feedback.
https://github.com/opensearch-project/OpenSearch-Dashboards/issues/11439

#OpenSearchAmbassador #timeseries #metrics #monitoring #cloudnative
@Prometheus

Many industries hope to benefit from #AI, but they know little about where it works & where it’s unreliable. #3DPrinting is a good field to test AI, with complex factors, interacting settings, & unpredictable conditions, says our author Andy Oram.

Read more in this article: https://lpi.org/711y

#3DPrinting #ArtificialIntelligence #MachineLearning #CNN #Biomimetic #AnomalyDetection #AdditiveManufacturing

Anomaly Detection Analysis with Python
Find unusual transactions without labels, using a baseline + Isolation Forest + practical verification.
This post shows a clean workflow: define “unusual” with a baseline, train Isolation Forest, validate with simple sanity checks, and reduce false alarms with practical rules.

🔗 https://medium.com/towards-artificial-intelligence/anomaly-detection-analysis-with-python-af21e87ae1c3

#Python #DataScience #AnomalyDetection #MachineLearning #Fraud

@chartrdaily @programming @pythonclcoding @theartificialintelligence @medium

🚨 New CRAN Task View: Anomaly Detection
#rstats #anomalydetection

By Priyanga Dilini Talagala @pridiltal , Rob J. Hyndman @robjhyndman Gaetano Romano

URL: https://CRAN.R-project.org/view=AnomalyDetection

Most security systems are reactive, designed to catch a fire after it has already started. Our conceptual architectural blueprint includes a proactive, Context-Aware Anomaly Detection System that learns "normal" behavior and flags suspicious intent-not just malicious IP addresses. This is the difference between a clumsy shield and an intelligence-driven defense.
#DataSecurity #AnomalyDetection #Al #MachineLearning #BehavioralAnalytics
#ProactiveSecurity #Strategiclntelligence #ShaolinDataScience

Sophos AI at Black Hat USA ’25: Anomaly detection betrayed us, so we gave it a new job – Source: news.sophos.com https://ciso2ciso.com/sophos-ai-at-black-hat-usa-25-anomaly-detection-betrayed-us-so-we-gave-it-a-new-job-source-news-sophos-com/ #rssfeedpostgeneratorecho #CyberSecurityNews #anomalydetection #ThreatResearch #nakedsecurity #nakedsecurity #commandline #SophosXOps #blackhat #FEATURED #BlackHat #featured #LLM #AI

MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning

In manufacturing, quality control remains a critical yet complex task, especially when multiple defect types are involved. MultiADS introduces a system capable of detecting and segmenting a wide range of anomalies (e.g., scratches, bends, holes), even in zero-shot settings.

By combining visual analysis with descriptive textual input and using a curated Knowledge Base for Anomalies, MultiADS generalizes to unseen defect types without requiring prior visual examples and consistently outperforms state-of-the-art models across several benchmarks, offering a robust and scalable solution for industrial inspection tasks.

Sadikaj, Y., Zhou, H., Halilaj, L., Schmid, S., Staab, S., & Plant, C. MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning. International Conference on Computer Vision, ICCV 2025, Hawai, Oct 19-23, 2025, #ICCV2025. https://arxiv.org/abs/2504.06740.

#AI #AIResearch #ComputerVision #AnomalyDetection #ZeroShot

SophosAI at Black Hat USA ’25: Anomaly detection betrayed us, so we gave it a new job – Source: news.sophos.com https://ciso2ciso.com/sophosai-at-black-hat-usa-25-anomaly-detection-betrayed-us-so-we-gave-it-a-new-job-source-news-sophos-com/ #rssfeedpostgeneratorecho #CyberSecurityNews #anomalydetection #ThreatResearch #nakedsecurity #nakedsecurity #blackhat2025 #SophosXOps #FEATURED #SophosAI #featured #LLM

Smart Home Security: AI-Driven Protection for Safer Living

https://rackenzik.com/smart-home-security-ai-driven-protection-for-safer-living/

#SmartHome #HomeAutomation #CyberSecurity #HomeSecurity #AI #PrivacyMatters #IoT #SmartDevices #AnomalyDetection #FaceRecognition #DigitalSecurity #TechSafety

🚨🚂 Welcome aboard the 🚀 #AppSignal 🛤️ express, where buzzwords like "Solid Queue" sound like a hipster brunch choice and "Anomaly Detection" is your morning coffee spilling! ☕ Who knew Ruby on Rails needed more rails and less ruby? 🤷‍♂️
https://blog.appsignal.com/2025/05/07/an-introduction-to-solid-queue-for-ruby-on-rails.html #SolidQueue #AnomalyDetection #RubyOnRails #TechTrends #HackerNews #ngated

AI in Banking Security: Revolution & Risks

#TycoonWorld #AIinBanking #BankingSecurity #CyberSecurityAI #FinTechSecurity #ArtificialIntelligence #MachineLearning #AnomalyDetection #BehavioralAnalytics #ThreatDetection #FraudPrevention #PredictiveAnalytics #EthicalAI #DataPrivacy #ExplainableAI #AdversarialAttacks #BankingInnovation #FinancialSecurity #AIethics #AIrisks #DigitalBanking #AIinFinance #AIandCybercrime #SmartBanking #FinTechTrends #CyberRiskMitigation

https://tycoonworld.in/ai-in-banking-security-revolution-risks/

Anomaly Detection in Time Series
#Python #Pycharm #Datascience #Howtos #Anomalydetection

https://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-time-series/