#riskmanagement — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #riskmanagement, aggregated by home.social.
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Shopping for AI security products gets confusing fast, so I put together a short field guide that maps the market's product types and what to check in each.
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⚖️ “Balance keeps progress steady through changing markets.”
#Markets #Investing #StoneCapitalGrowth #Balance #RiskManagement #SocialMedia
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Is there any part of the so-called "tech sector" that is not terminally broken?
You'd think when we have collectively bet the Homo Sapiens barn on "digital" the overall architecture would be slightly more intelligent.
#riskmanagement
#econsky
www.tomshardware.com/pc-component...
Memory prices climb 500% in 12... -
New article: Digital Signatures and Watermarks — Defending Authenticity in the Era of Generative AI.
As generative AI makes convincing fakes easier, robust authenticity tools become essential. This piece explains how digital signatures and watermarking work, where they fit in compliance and risk strategies, and what organizations should consider when implementing them. Read the full article: https://wix.to/XM8P8vJ
#AI
#Watermarking
#ContentIntegrity
#DigitalSignatures
#RiskManagement
#InformationSecurity -
Anthropic Risk August 2026 [pdf]
Comments: https://news.ycombinator.com/item?id=49303540
#HackerNews #AnthropicRisk #RiskManagement #FutureAI #TechTrends #PDFReport
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New blog post: Emergency Protocols for Autonomous AI — The Rise of the Kill Switch Act. This article examines proposed emergency shutdown measures for autonomous systems, the legal and technical trade-offs, and practical steps organizations should consider to comply and build safer AI. Read more: https://wix.to/k3s4Wdt
#AI
#TechPolicy
#Cybersecurity
#AIgovernance
#RiskManagement
#AutonomousSystems -
The contested areas of AI security formed around the newest asset classes, such as runtime AI data and AI agent identities, where startups and incumbents compete. Acquirers have absorbed over one in ten products in the AI Defense Matrix Catalog.
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Engineers freeze at the commit point on a high risk change. They want someone to say it is fine. I click when I believe I have done everything to make it fine. Autonomy settings are that same decision. Ask whether being wrong is survivable.
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Throw a pebble in a still pond and the ripple disturbs nothing. Throw a rock and it crosses the lake. The permission question is not whether an action is safe. It is how far the damage travels if it is not. Scope the reach, then set autonomy.
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Society must anticipate: prepare not for this year's climate but for the future climates. 🧵
#livability #climatePolicy #riskManagement #riskAssessment #policy #adaptation #forests #climateDrift #climateChange #heatwaves #naturalDisasters #resilience #agriculture #wildfires #poliSky #foresight -
Society must anticipate: prepare not for this year's climate but for the future climates. 🧵
#futures #risks #risk #riskManagement #riskAssessment #livability #habitability #climatePolicy #policy #adaptation #plantations #forestry #climateDrift #climateChange #climateFailure #climateCollapse #drought #heatwaves #naturalDisasters #resilience #agriculture #megafires #wildfire #wildfires
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Open Source is no longer just a cost play. It’s a board-level strategy.
It turns black-box risk into visible, manageable systems, especially in AI and cybersecurity.
If you can inspect it, you can control it.
#opensource #governance #riskmanagement
https://www.korte.co/2026/08/06/open-source-reshapes-risk-management-and-tech-strategy/ -
Modeling Flood Susceptibility Utilizing Advanced Ensemble Machine Learning Techniques in the Marand Plain [Iran]
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https://doi.org/10.3390/geosciences15030110 <-- shared paper
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H/T @Geosciences MDPI
“This study applies advanced machine learning algorithms to map flood susceptibility in northwest Iran. The results demonstrate strong predictive performance, with the Locally Weighted Linear model delivering the highest accuracy and providing valuable guidance for flood-risk management and disaster mitigation…”
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“Flooding is one of the most significant natural hazards in Iran, primarily due to the country’s arid and semi-arid climate, irregular rainfall patterns, and substantial changes in watershed conditions. These factors combine to make floods a frequent cause of disasters. In this case study, flood susceptibility patterns in the Marand Plain, located in the East Azerbaijan Province in northwest Iran, were analyzed using five machine learning (ML) algorithms: M5P model tree, Random SubSpace (RSS), Random Forest (RF), Bagging, and Locally Weighted Linear (LWL). The modeling process incorporated twelve meteorological, hydrological, and geographical factors affecting floods at 485 identified flood-prone points. The data were analyzed using a geographic information system, with the dataset divided into 70% for training and 30% for testing to build and validate the models. An information gain ratio and multicollinearity analysis were employed to assess the influence of various factors on flood occurrence, and flood-related variables were classified using quantile classification. The frequency ratio method was used to evaluate the significance of each factor. Model performance was evaluated using statistical measures, including the Receiver Operating Characteristic (ROC) curve. All models demonstrated robust performance, with an area under the ROC curve (AUROC) exceeding 0.90. Among the models, the LWL algorithm delivered the most accurate predictions, followed by RF, M5P, Bagging, and RSS. The LWL-generated flood susceptibility map classified 9.79% of the study area as highly susceptible to flooding, 20.73% as high, 38.51% as moderate, 29.23% as low, and 1.74% as very low. The findings of this research provide valuable insights for government agencies, local authorities, and policymakers in designing strategies to mitigate flood-related risks. This study offers a practical framework for reducing the impact of future floods through informed decision-making and risk management strategies…”
#FloodSusceptibility #FloodRisk #MachineLearning #GIS #NaturalHazards #DisasterManagement #FloodModeling #Hydrology #EnvironmentalMonitoring #RiskAssessment #GeospatialAnalysis #ClimateResilience #GIS #spatial #mapping #Iran #MarandPlain #EastAzerbaijan #machinelearning #AI #floodhazard #floodvulnerability #flood #flooding #water #hydrography #hydrology #model #modeling #risk #hazard #rainfall #precipitation #extremeweather #spatialanalysis #spatiotemporal #modelperformance #policy #planning #mitigation #design #riskmanagement -
New AI Safety Report: Anthropic earns a C+, with OpenAI and Google DeepMind following. The report highlights strengths, gaps, and best practices for organizations building advanced AI. Read the full report and implications for governance and risk management: https://wix.to/FRTKwbR
#OpenAI
#AIethics
#AISafety
#Anthropic
#AIgovernance
#TechLeadership
#RiskManagement
#GoogleDeepMind -
ESG, governance e adeguati assetti: perché oggi le banche valutano l'organizzazione aziendale oltre i numeri di bilancio: https://quotidianoweb.it/economia/gli-esg-entrano-davvero-nel-credito-ma-le-banche-possono-valutare-cio-che-non-conoscono/ #quotidianoweb #ESG #Credito #Banche #Governance #PMI #RiskManagement #MeritoCreditizio #DORA #NIS2 #AIAct #AdeguatiAssetti #Finanza
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Their response to my question, "But hey, what is the worst that could possibly happen?" indicated a demonstrable lack of creativity.
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New blog: Financial fraud via SMS and WhatsApp is on the rise — advanced smishing and malicious .ZIP attachments are specifically targeting mobile banking users. Learn how these threats work and key mitigation strategies for professionals and organizations. https://wix.to/Fv3zinZ
#CyberSecurity
#FraudPrevention
#RiskManagement
#InformationSecurity