#anomaly-detection — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #anomaly-detection, aggregated by home.social.
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Anomaly detection in fintech fraud systems identifies transactions that deviate significantly from an established behavioral baseline for a specific user or account.
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Anomaly detection in fintech fraud systems identifies transactions that deviate significantly from an established behavioral baseline for a specific user or account.
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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
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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
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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 -
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
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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
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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.#Python #DataScience #AnomalyDetection #MachineLearning #Fraud
@chartrdaily @programming @pythonclcoding @theartificialintelligence @medium
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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.#Python #DataScience #AnomalyDetection #MachineLearning #Fraud
@chartrdaily @programming @pythonclcoding @theartificialintelligence @medium
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What do Microsoft’s 2026 security features tell us about how attackers are actually breaching collaboration platforms?
On this week’s Cyberside Chats, Sherri Davidoff and Matt Durrin break down the updates—from anomaly reporting to tenant restrictions—and show why every organization needs clearer data classifications, stronger identity boundaries, and easier ways for users to report suspicious activity. It’s a practical roadmap for securing the tools employees rely on every day.
Watch the video: https://www.youtube.com/watch?v=60bYlgCI7zw
Listen here: https://www.chatcyberside.com/e/collaboration-under-siege-microsoft-s-teams-security-overhaul/
Or find Cyberside Chats wherever you get your podcasts.
#CollaborationTools #Microsoft365 #IdentityManagement #AnomalyDetection #AICopilots #DataSecurity #SecurityTraining #CybersideChats
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🚨 New CRAN Task View: Anomaly Detection
#rstats #anomalydetectionBy Priyanga Dilini Talagala @pridiltal , Rob J. Hyndman @robjhyndman Gaetano Romano
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🚨 New CRAN Task View: Anomaly Detection
#rstats #anomalydetectionBy Priyanga Dilini Talagala @pridiltal , Rob J. Hyndman @robjhyndman Gaetano Romano
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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 -
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
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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
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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.
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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
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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
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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
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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
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🚨🚂 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 -
🚨🚂 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/
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Anomaly Detection in Time Series
#Python #Pycharm #Datascience #Howtos #Anomalydetectionhttps://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-time-series/
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Anomaly Detection in Machine Learning Using Python
#Python #Pycharm #Datascience #Howtos #Anomalydetectionhttps://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-machine-learning/
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Anomaly Detection in Machine Learning Using Python
#Python #Pycharm #Datascience #Howtos #Anomalydetectionhttps://blog.jetbrains.com/pycharm/2025/01/anomaly-detection-in-machine-learning/
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Sentinel Tip - Set Up Anomaly Detection: Implement anomaly detection rules to identify unusual activities. Anomaly detection helps in spotting potential threats early. #AnomalyDetection #ThreatDetection #Security
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Shared Nearest Neighbors (SNN) — A distance metric that can improve prediction, clustering, and outlier detection in datasets with many dimensions and with varying densities. Read more from W Brett Kennedy now!
https://towardsdatascience.com/shared-nearest-neighbors-a-more-robust-distance-metric-064d7f99ffb7
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Let's have a chat about NIST 800-53! 👍 Once we understand how NIST 800-53 fits into a compliance program, we can build the #security controls and monitoring that help achieve our security and business objectives.🔒☑️ 🙌
The most recent revision to the National Institute of Standards and Technology (#NIST) Cybersecurity Framework (CSF) provides the overview roadmap for your compliance journey. And the NIST 800-53 sets out a series of controls that organizations can use to meet compliance requirements.
Learn more about:
✔️ The 20 control families
✔️ What NIST 800-53 compliance looks like
✔️ Continuous monitoring for NIST compliancehttps://graylog.org/post/what-is-nist-800-53/ #cybersecurity #compliance #alertfatigue #anomalydetection
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Let's have a chat about NIST 800-53! 👍 Once we understand how NIST 800-53 fits into a compliance program, we can build the #security controls and monitoring that help achieve our security and business objectives.🔒☑️ 🙌
The most recent revision to the National Institute of Standards and Technology (#NIST) Cybersecurity Framework (CSF) provides the overview roadmap for your compliance journey. And the NIST 800-53 sets out a series of controls that organizations can use to meet compliance requirements.
Learn more about:
✔️ The 20 control families
✔️ What NIST 800-53 compliance looks like
✔️ Continuous monitoring for NIST compliancehttps://graylog.org/post/what-is-nist-800-53/ #cybersecurity #compliance #alertfatigue #anomalydetection
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Sentinel Tip - Enable User and Entity Behavior Analytics (UEBA): Use UEBA to detect anomalies and potential threats. UEBA helps in identifying unusual behavior patterns and early warning for your identity perimeter. #UEBA #AnomalyDetection #Security