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#risk — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #risk, aggregated by home.social.

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  1. Platform engineering is the practice of designing and building automated toolchains and Internal Developer Platforms (IDPs) that enable self-service workflows. By providing standardized 'golden paths,' it reduces developers' cognitive load and accelerates software delivery without compromising security.

    Play the Game: blackcatwhitehatsecurity.com/t

    #cybersecurity #governance #risk #technology #gaming #business

  2. FinOps (Financial Operations) is an evolving cultural practice and operational framework that unites technology, finance, and business teams to maximize the business value of technology spending. It shifts the focus from simply cutting costs to driving financial accountability, data-driven trade-offs, and profitable cloud/AI innovation.

    Play the Game: blackcatwhitehatsecurity.com/t

    #cybersecurity #governance #risk #technology #gaming #business

  3. What is fourth-party #risk?
    thingsrecon.com/blog/what-is-f
    "Hosting providers, certificate issuers, and exposed infrastructure change on their own schedule, and external scanning can pick that up without needing anyone's cooperation. What can't be monitored continuously is anything that depends on your third party choosing to update you, like a new subcontractor added to a data processing agreement. Those changes only surface when the contract renews, the SOC 2 report refreshes, or you ask directly."

  4. Front-end development is the process of building the visual and interactive parts of websites or web applications that users interact with directly. It bridges the gap between design and backend systems, relying on three core technologies: HTML for structure, CSS for styling, and JavaScript for behavior.

    #cybersecurity #governance #risk #technology #gaming #business

    Play the Game: blackcatwhitehatsecurity.com/t

  5. DevSecOps integrates security seamlessly into every phase of the software development lifecycle. It replaces traditional, slow security reviews by embedding automated vulnerability testing and policy enforcement directly into CI/CD pipelines, making security a shared responsibility between developers, security teams, and operations.

    #cybersecurity #governance #risk #technology #gaming #business

    Play the Game: blackcatwhitehatsecurity.com/t

  6. An AI translation may sound polished, authoritative and entirely plausible.

    But a missing negation or mistranslated technical term can alter a scientific conclusion, safety instruction or business decision without alerting the reader.

    We look at the consequences of convincing mistakes and offer practical guidance for using AI translation more safely.

    So how much do you verify when using automated translation?

    movetheneedle.news/brands/ai-t

    #AI #translation #technology #governance #risk #insurance

  7. Zero Trust is a cybersecurity framework built on the principle of 'never trust, always verify'. Instead of assuming everything inside a corporate network is safe, it requires continuous authentication and authorization for every user, device, and connection regardless of where they are located.

    #cybersecurity #governance #risk #technology #gaming #business

    Play the Game: blackcatwhitehatsecurity.com/t

  8. Climate Denial Didn’t Disappear.
    It Moved From The Diagnosis To The Treatment
    --
    forbes.com/sites/we-dont-have- <-- shared media article
    --
    H/T @dyckron
    "As climate disasters intensify, many governments are retreating from climate action instead of accelerating it. The article argues that this resembles denial in advanced illness; leaders accept the diagnosis while rejecting the treatment. Drawing on medicine, sociology and climate psychology, it identifies four stages of modern denial: denying the crisis, its cause, the solutions or responsibility for acting. Extreme weather alone does not build support; people must connect events to climate change and believe action is possible. Fossil fuel interests exploit this need by framing delay as affordability, competitiveness or pragmatism. The answer is to link disasters clearly to their cause, pair warnings with credible action, and present climate policy as protection rather than sacrifice..."
    #climatechange #humanimpacts #risk #hazard #publicsafety #publicsafety #denial #climatechangedenial #climateaction #extremeweather

  9. WeatherNext – [An] AI Model Achieves Breakthrough In Forecasting Cyclones
    --
    deepmind.google/blog/weatherne <-- shared technical Google DeepMind blog post
    --
    doi.org/10.1038/s41586-026-109 <-- shared paper
    --
    deepmind.google/science/weathe <-- shared data
    --
    github.com/google-deepmind/wea <-- shared GitHub repository
    --
    H/T @juliet Rothenberg | Product Director of Earth & Resilience AI at Google
    [this post should not be considered an endorsement of a particular organisation or their approach]
    “[The Google WeatherNext AI team] are showing how the WeatherNext AI model from Google DeepMind and Google Research has achieved state-of-the-art accuracy in predicting a cyclone's track, intensity, and wind structure. On average, the WeatherNext Cyclones model gives forecasters an extra day’s worth of predictive accuracy- delivering an advance equivalent to roughly a decade of historical meteorological progress 🌀
    Here is how WeatherNext is transforming cyclone forecasting:
    • Gaining an Extra Day of Advanced Warning: WN 3-day forecasts are as good as what prior models were able to provide for 2-day forecasts, giving critical time for emergency response.
    • Overcoming Traditional Trade-offs: WN bridges the gap between massive global atmospheric currents (which steer a cyclone's path) and fine-grained thermodynamic processes around its core (which drive its intensity) into a single AI model.
    • Unprecedented Ensemble Scale: Using Functional Generative Networks (FGNs), WN now generates 1,000-member ensembles in less than a minute on a TPU to capture rare, consequential tail-risks like sudden rapid intensification – which means forecasters can see a broader range of possible scenarios.
    • Real-World Impact: During the 2025 Atlantic hurricane season, the WN model helped the National Hurricane Center (NHC) make a historic forecast for Hurricane Melissa by predicting rapid intensification and landfall five days in advance.
    [The] teams are open sourcing the operationalized models (WeatherNext Cyclones and WeatherNext 2), alongside a compact version (WeatherNext 2-mini) that can run on a single TPU in a free public Colab notebook – all with a goal of empowering local organizations worldwide.
    Weather affects everyone. By combining advanced AI with the real-world expertise of human forecasters, we can build a collaborative ecosystem that saves lives and helps communities adapt to a changing climate…”
    #Google #DeepMind #GoogleResearch #AI #ensembles #FunctionalGenerativeNetworks #WeatherNext #cyclone #operationalised #model #modeling #forecasting #spatialanalyis #spatiotemporal #track #intensity #windstructure #hurricane #weather #climate #metrology #cyclonetrack #risk #hazard #emergencyresponse #planning #tool #earlywarning #scale #magnitude #path #track #thermodynamic #scenarios #opensource #impacts #tropicalcyclones #WeatherNextCyclones #weathermodel #atmospheric #predictions #mitigation #warning #robust #publicsafety #infrastructure
    @Google | @WeatherNext

  10. Python is a high-level, general-purpose programming language known for its simplicity, readability, and exceptional versatility. Created by Guido van Rossum and first released in 1991, it has grown into one of the world's most popular coding languages. It is widely applied across cutting-edge fields like artificial intelligence, data science, web development, and task automation.

    #cybersecurity #governance #risk #technology #gaming #business

    Play the Game: blackcatwhitehatsecurity.com/t

  11. Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
    #massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils

  12. The Portrait of Flood Risk in Italy - Past, Present and Future, From 1870 to 2100
    --
    doi.org/10.1029/2026GL122987 <-- shared paper
    --
    “ABSTRACT: Among European countries, Italy ranks as one of the most susceptible to flood risk. While this figure is already substantial, climate change and rapid urbanization in flood-prone areas have been identified as the two main drivers expected to elevate the number of individuals at risk. This study offers a comprehensive assessment of these two drivers of flood risk in Italy over 230 years, from 1870 to 2100, focusing on how they interact to increase risk. Using the large-scale flood risk model RESCUE-FR, [the authors] analyze[d] the population at risk under the 200-year return period scenario to provide a targeted assessment of population risk, how it has evolved in the past, and its projection in the future. [Their] findings indicate that while historical flood risk in Italy has primarily been influenced by population growth and migration into at-risk areas, future projections suggest that climate change will become the dominant driver of flood risk.
    PLAIN LANGUAGE SUMMARY: Italy is one of the European countries most at risk of flooding. This study examines the impact of two risk factors on flood risk in Italy over the long term, from 1870 to 2100: climate change and the evolution of population in areas prone to flooding. Using a large-scale flood risk model, [they] simulated different scenarios for different time periods, such as with and without climate change, to estimate how each factor contributes to the number of people exposed to floods in the past and future. [Their] results show that population growth and migration into flood-prone areas were the main reasons for the increased risk in the past. In the future, however, climate change is likely to become the dominant factor, putting more people at risk. Understanding how these factors interact can help communities to plan more effectively for floods and reduce the number of people affected…”
    #flood #flooding #risk #hazard #Italy #Europe #national #history #historic #cost #damage #infrastructure #floodrisk #population #urbanisation #development #climatechange #extremeweather #dominantfactor #floodprone #national #regional #spatialanalysis #spatiotemporal #model #RESCUEFR #modeling #factors #parameters #drivers #publicsafety

  13. Governance, Risk, and Compliance (GRC) is an integrated business framework that aligns an organization's IT and operational strategies with its overarching goals. It unites corporate oversight, risk management, and legal/regulatory adherence to reduce operational inefficiencies, mitigate threats, and ensure principled business performance.

    #cybersecurity #governance #risk #technology #gaming #business

    Play the Game: blackcatwhitehatsecurity.com/t

  14. Flock Camera Destruction
    BCWH's sweet mascot is currently under investigation for damaging a local Flock camera. However, the surveillance footage is inconclusive: it’s just a vague black smudge.

    Gercy: "It wasn't me. It was AI."

    More information to come.

    #cybersecurity #governance #risk #technology #gaming #business

    View More: blackcatwhitehatsecurity.com

  15. Good read about #RISC vs #ARM ecosystems. I didn't see the previous two blogs (he wrote an initial post that generated a response... now he is responding to this).

    NOTE: I deleted original of this because #RISC got autocorrected to #RISK... 🤦🏼‍♂️
    If I was doing (ANY!) embedded work I'd probably enjoy this more...
    https://rvembedded.com/blog_post/12/

  16. 🔁 'Unrealized investment gains are added to a company’s profit for accounting purposes, according to the value of holdings at the end of each quarter. Unless the company sells any of the stakes, the gains are purely on paper. It also works in reverse: A decline in the value of investment holdings during a quarter can subtract from a company’s reported earnings.

    Alphabet and Amazon did not respond to requests for comment.' nytimes.com/2026/08/14/busines #ai #correlation #risk