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  1. Sfântul Cuvios Efrem Sirul: Viața omului e ca floarea câmpului – să avem grijă de suflet! Lepădaţi-vă de satana, aruncaţi de la voi învăţăturile lui, dezbrăcaţi-vă de omul cel vechi şi de toate faptele lui şi întru cel nou îmbrăcaţi-vă 👉 c.aparatorul.md/3kvqu 👈 #Avva #Bunătate #Desfătare #Dumnezeu #EditorialiștiiBisericii #grijapentrusuflet #IisusHristos #ispitediavolesti #Judecata #JudecataLuiDumnezeu #LegeaVeche #mântuire #OmulCelNou #OmulCelVechi #Plân...
    c.aparatorul.md/3kvqu

  2. 【R18絵】メスケモ化した100の人が犯されているイラストを、Skebで流水あるもさん @[email protected] に描いていただきました! 膨乳な巣黒るいくんやリーチャ隊長の絵を見て憧れてたので、リク受けてもらえて嬉しかったです。 #100の人 #TSF #transfur #TFTG #ケモノ #メスケモ #100の人 #代理キャラ #代理 #R18

    【作: 流水あるも】Skeb Art (100の人のメスケモ化) | 100の人を描いてもらった作品
    #pixiv
    https://www.pixiv.net/artworks/134977203

    流水あるも/Arumo
    🐩 さんのコミッション
    https://skeb.jp/@rumi_arumo/works/69 #Skeb #Commission
    (再投稿)

  3. XRP ETF: Tren Baru Investasi Kripto 2025, Regulasi, Dampak Pasar, dan Peluang Altcoin

    Tradingan - #Pasar #cryptocurrency #kini #memasuki #fase #baru di #mana #investor #institusional #mulai #melirik #aset #digital #selain Bitcoin (BTC) dan Ether (ETH). Salah satu indikator paling kuat dari perubahan ini adalah meningkatnya jumlah pengajuan ETF spot XRP (XRPUSD) di Amerika Serikat. Lonjakan ini menunjukkan bahwa XRP semakin dianggap layak sebagai aset investasi arus…

    tradingan.com/xrp-etf-tren-bar

  4. XRP ETF: Tren Baru Investasi Kripto 2025, Regulasi, Dampak Pasar, dan Peluang Altcoin

    Tradingan - #Pasar #cryptocurrency #kini #memasuki #fase #baru di #mana #investor #institusional #mulai #melirik #aset #digital #selain Bitcoin (BTC) dan Ether (ETH). Salah satu indikator paling kuat dari perubahan ini adalah meningkatnya jumlah pengajuan ETF spot XRP (XRPUSD) di Amerika Serikat. Lonjakan ini menunjukkan bahwa XRP semakin dianggap layak sebagai aset investasi arus…

    tradingan.com/xrp-etf-tren-bar

  5. The AI Security Storm is Brewing: Are You Ready for the Downpour?

    1,360 words, 7 minutes read time.

    We live in an age where artificial intelligence is no longer a futuristic fantasy; it’s the invisible hand guiding everything from our morning commute to the recommendations on our favorite streaming services. Businesses are harnessing its power to boost efficiency, governments are exploring its potential for public services, and our personal lives are increasingly intertwined with AI-driven conveniences. But as this powerful technology becomes more deeply embedded in our world, a darker side is emerging – a growing storm of security risks that businesses and governments can no longer afford to ignore.

    Think about this: the global engineering giant Arup was recently hit by a sophisticated scam where cybercriminals used artificial intelligence to create incredibly realistic “deepfake” videos and audio of their Chief Financial Officer and other executives. This elaborate deception tricked an employee into transferring a staggering $25 million to fraudulent accounts . This isn’t a scene from a spy movie; it’s a chilling reality of the threats we face today. And experts are sounding the alarm, with a recent prediction stating that a massive 93% of security leaders anticipate grappling with daily AI-driven attacks by the year 2025. This isn’t just a forecast; it’s a clear warning that the landscape of cybercrime is being fundamentally reshaped by the rise of AI.  

    While AI offers incredible opportunities, it’s crucial to understand that it’s a double-edged sword. The very capabilities that make AI so beneficial are also being weaponized by malicious actors to create new and more potent threats. From automating sophisticated cyberattacks to crafting incredibly convincing social engineering schemes, AI is lowering the barrier to entry for cybercriminals and amplifying the potential for widespread damage. So, let’s pull back the curtain and explore the growing shadow of AI, delving into the specific security risks that businesses and governments need to be acutely aware of.

    One of the most significant ways AI is changing the threat landscape is by supercharging traditional cyberattacks. Remember those generic phishing emails riddled with typos? Those are becoming relics of the past. AI allows cybercriminals to automate and personalize social engineering schemes at an unprecedented scale. Imagine receiving an email that looks and sounds exactly like it came from your CEO, complete with their unique communication style and referencing specific projects you’re working on. AI can analyze vast amounts of data to craft these hyper-targeted messages, making them incredibly convincing and significantly increasing the chances of unsuspecting employees falling victim. This includes not just emails, but also more sophisticated attacks like “vishing” (voice phishing) where AI can mimic voices with alarming accuracy.  

    Beyond enhancing existing attacks, AI is also enabling entirely new forms of malicious activity. Deepfakes, like the ones used in the Arup scam, are a prime example. These AI-generated videos and audio recordings can convincingly impersonate individuals, making it nearly impossible to distinguish between what’s real and what’s fabricated. This technology can be used for everything from financial fraud and corporate espionage to spreading misinformation and manipulating public opinion. As Theresa Payton, CEO of Fortalice Solutions and former White House Chief Information Officer, noted, these deepfake scams are becoming increasingly sophisticated, making it critical for both individuals and companies to be vigilant .  

    But the threats aren’t just about AI being used to attack us; our AI systems themselves are becoming targets. Adversarial attacks involve subtly manipulating the input data fed into an AI model to trick it into making incorrect predictions or decisions. Think about researchers who were able to fool a Tesla’s autopilot system into driving into oncoming traffic by simply placing stickers on the road. These kinds of attacks can have serious consequences in critical applications like autonomous vehicles, healthcare diagnostics, and security systems .  

    Another significant risk is data poisoning, where attackers inject malicious or misleading data into the training datasets used to build AI models. This can corrupt the model’s learning process, leading to biased or incorrect outputs that can have far-reaching and damaging consequences. Imagine a malware detection system trained on poisoned data that starts classifying actual threats as safe – the implications for cybersecurity are terrifying.  

    Furthermore, the valuable intellectual property embedded within AI models makes them attractive targets for theft. Model theft, also known as model inversion or extraction, allows attackers to replicate a proprietary AI model by querying it extensively. This can lead to significant financial losses and a loss of competitive advantage for the organizations that invested heavily in developing these models.  

    The rise of generative AI, while offering incredible creative potential, also introduces its own unique set of security challenges. Direct prompt injection attacks exploit the way large language models (LLMs) work by feeding them carefully crafted malicious inputs designed to manipulate their behavior or output . This can lead to the generation of harmful, biased, or misleading information, or even the execution of unintended commands . Additionally, LLMs have the potential to inadvertently leak sensitive information that was present in their training data or provided in user prompts, raising serious privacy concerns. As one Reddit user pointed out, there are theoretical chances that your data can come out as answers to other users’ prompts when using these models.  

    Beyond these direct threats, businesses also need to be aware of the risks lurking in the shadows. “Shadow AI” refers to the unauthorized or ungoverned use of AI tools and services by employees within an organization. This can lead to the unintentional exposure of sensitive company data to external and potentially untrusted AI services, creating compliance nightmares and introducing security vulnerabilities that IT departments are unaware of.  

    So, what can businesses and governments do to weather this AI security storm? The good news is that proactive measures can significantly mitigate these risks. For businesses, establishing clear AI security policies and governance frameworks is paramount. This includes outlining approved AI tools, data handling procedures, and protocols for vetting third-party AI vendors. Implementing robust data security and privacy measures, such as encryption and strict access controls, is also crucial. Adopting a Zero-Trust security architecture for AI systems, where no user or system is automatically trusted, can add another layer of defense. Regular AI risk assessments and security audits, including penetration testing by third-party experts, are essential for identifying and addressing vulnerabilities. Furthermore, ensuring transparency and explainability in AI deployments, whenever possible, can help build trust and facilitate the identification of potential issues. Perhaps most importantly, investing in comprehensive employee training on AI security awareness, including recognizing sophisticated phishing and deepfake techniques, is a critical first line of defense.  

    Governments, facing even higher stakes, need to develop national AI security strategies and guidelines that address the unique risks to critical infrastructure and national security. Implementing established risk management frameworks like the NIST AI Risk Management Framework (RMF) and the ENISA Framework for AI Cybersecurity Practices (FAICP) can provide a structured approach to managing these complex risks. Establishing clear legal and regulatory frameworks for AI use is also essential to ensure responsible and secure deployment. Given the global nature of AI threats, promoting international collaboration on AI security standards is crucial. Finally, focusing on “security by design” principles in AI development, integrating security considerations from the outset, is the most effective way to build resilient and trustworthy AI systems.  

    The AI security landscape is complex and constantly evolving. Staying ahead of the curve requires a proactive, multi-faceted approach that combines technical expertise, robust policies, ethical considerations, and ongoing vigilance. The storm of AI security risks is indeed brewing, but by understanding the threats and implementing effective mitigation strategies, businesses and governments can prepare for the downpour and navigate this challenging new terrain.

    Want to stay informed about the latest developments in AI security and cybercrime? Subscribe to our newsletter for in-depth analysis, expert insights, and practical tips to protect yourself and your organization. Or, join the conversation by leaving a comment below – we’d love to hear your thoughts and experiences!

    D. Bryan King

    Sources

    Disclaimer:

    The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

    Related Posts

    Rate this:

    #adversarialAttacks #AIAudit #AIBestPractices #AICompliance #AICybercrime #AIDataSecurity #AIForNationalSecurity #AIGovernance #AIInBusiness #AIInCriticalInfrastructure #AIInGovernment #AIIncidentResponse #AIMisuse #AIModelSecurity #AIMonitoring #AIRegulations #AIRiskAssessment #AIRiskManagement #AISafety #AISecurity #AISecurityAwareness #AISecurityFramework #AISecurityPolicies #AISecuritySolutions #AISecurityTrends2025 #AIStandards #AISupplyChainRisks #AIThreatIntelligence #AIThreatLandscape #AIThreats #AITraining #AIVulnerabilities #AIAssistedSocialEngineering #AIDrivenAttacks #AIEnabledMalware #AIGeneratedContent #AIPoweredCyberattacks #AIPoweredPhishing #artificialIntelligenceSecurity #cyberSecurity #cybersecurityRisks #dataBreaches #dataPoisoning #deepfakeDetection #deepfakeScams #ENISAFAICP #ethicalAI #generativeAISecurity #governmentAISecurity #largeLanguageModelSecurity #LLMSecurity #modelTheft #nationalSecurityAIRisks #NISTAIRMF #privacyLeaks #promptInjection #shadowAI #zeroTrustAI

  6. The AI Security Storm is Brewing: Are You Ready for the Downpour?

    1,360 words, 7 minutes read time.

    We live in an age where artificial intelligence is no longer a futuristic fantasy; it’s the invisible hand guiding everything from our morning commute to the recommendations on our favorite streaming services. Businesses are harnessing its power to boost efficiency, governments are exploring its potential for public services, and our personal lives are increasingly intertwined with AI-driven conveniences. But as this powerful technology becomes more deeply embedded in our world, a darker side is emerging – a growing storm of security risks that businesses and governments can no longer afford to ignore.

    Think about this: the global engineering giant Arup was recently hit by a sophisticated scam where cybercriminals used artificial intelligence to create incredibly realistic “deepfake” videos and audio of their Chief Financial Officer and other executives. This elaborate deception tricked an employee into transferring a staggering $25 million to fraudulent accounts . This isn’t a scene from a spy movie; it’s a chilling reality of the threats we face today. And experts are sounding the alarm, with a recent prediction stating that a massive 93% of security leaders anticipate grappling with daily AI-driven attacks by the year 2025. This isn’t just a forecast; it’s a clear warning that the landscape of cybercrime is being fundamentally reshaped by the rise of AI.  

    While AI offers incredible opportunities, it’s crucial to understand that it’s a double-edged sword. The very capabilities that make AI so beneficial are also being weaponized by malicious actors to create new and more potent threats. From automating sophisticated cyberattacks to crafting incredibly convincing social engineering schemes, AI is lowering the barrier to entry for cybercriminals and amplifying the potential for widespread damage. So, let’s pull back the curtain and explore the growing shadow of AI, delving into the specific security risks that businesses and governments need to be acutely aware of.

    One of the most significant ways AI is changing the threat landscape is by supercharging traditional cyberattacks. Remember those generic phishing emails riddled with typos? Those are becoming relics of the past. AI allows cybercriminals to automate and personalize social engineering schemes at an unprecedented scale. Imagine receiving an email that looks and sounds exactly like it came from your CEO, complete with their unique communication style and referencing specific projects you’re working on. AI can analyze vast amounts of data to craft these hyper-targeted messages, making them incredibly convincing and significantly increasing the chances of unsuspecting employees falling victim. This includes not just emails, but also more sophisticated attacks like “vishing” (voice phishing) where AI can mimic voices with alarming accuracy.  

    Beyond enhancing existing attacks, AI is also enabling entirely new forms of malicious activity. Deepfakes, like the ones used in the Arup scam, are a prime example. These AI-generated videos and audio recordings can convincingly impersonate individuals, making it nearly impossible to distinguish between what’s real and what’s fabricated. This technology can be used for everything from financial fraud and corporate espionage to spreading misinformation and manipulating public opinion. As Theresa Payton, CEO of Fortalice Solutions and former White House Chief Information Officer, noted, these deepfake scams are becoming increasingly sophisticated, making it critical for both individuals and companies to be vigilant .  

    But the threats aren’t just about AI being used to attack us; our AI systems themselves are becoming targets. Adversarial attacks involve subtly manipulating the input data fed into an AI model to trick it into making incorrect predictions or decisions. Think about researchers who were able to fool a Tesla’s autopilot system into driving into oncoming traffic by simply placing stickers on the road. These kinds of attacks can have serious consequences in critical applications like autonomous vehicles, healthcare diagnostics, and security systems .  

    Another significant risk is data poisoning, where attackers inject malicious or misleading data into the training datasets used to build AI models. This can corrupt the model’s learning process, leading to biased or incorrect outputs that can have far-reaching and damaging consequences. Imagine a malware detection system trained on poisoned data that starts classifying actual threats as safe – the implications for cybersecurity are terrifying.  

    Furthermore, the valuable intellectual property embedded within AI models makes them attractive targets for theft. Model theft, also known as model inversion or extraction, allows attackers to replicate a proprietary AI model by querying it extensively. This can lead to significant financial losses and a loss of competitive advantage for the organizations that invested heavily in developing these models.  

    The rise of generative AI, while offering incredible creative potential, also introduces its own unique set of security challenges. Direct prompt injection attacks exploit the way large language models (LLMs) work by feeding them carefully crafted malicious inputs designed to manipulate their behavior or output . This can lead to the generation of harmful, biased, or misleading information, or even the execution of unintended commands . Additionally, LLMs have the potential to inadvertently leak sensitive information that was present in their training data or provided in user prompts, raising serious privacy concerns. As one Reddit user pointed out, there are theoretical chances that your data can come out as answers to other users’ prompts when using these models.  

    Beyond these direct threats, businesses also need to be aware of the risks lurking in the shadows. “Shadow AI” refers to the unauthorized or ungoverned use of AI tools and services by employees within an organization. This can lead to the unintentional exposure of sensitive company data to external and potentially untrusted AI services, creating compliance nightmares and introducing security vulnerabilities that IT departments are unaware of.  

    So, what can businesses and governments do to weather this AI security storm? The good news is that proactive measures can significantly mitigate these risks. For businesses, establishing clear AI security policies and governance frameworks is paramount. This includes outlining approved AI tools, data handling procedures, and protocols for vetting third-party AI vendors. Implementing robust data security and privacy measures, such as encryption and strict access controls, is also crucial. Adopting a Zero-Trust security architecture for AI systems, where no user or system is automatically trusted, can add another layer of defense. Regular AI risk assessments and security audits, including penetration testing by third-party experts, are essential for identifying and addressing vulnerabilities. Furthermore, ensuring transparency and explainability in AI deployments, whenever possible, can help build trust and facilitate the identification of potential issues. Perhaps most importantly, investing in comprehensive employee training on AI security awareness, including recognizing sophisticated phishing and deepfake techniques, is a critical first line of defense.  

    Governments, facing even higher stakes, need to develop national AI security strategies and guidelines that address the unique risks to critical infrastructure and national security. Implementing established risk management frameworks like the NIST AI Risk Management Framework (RMF) and the ENISA Framework for AI Cybersecurity Practices (FAICP) can provide a structured approach to managing these complex risks. Establishing clear legal and regulatory frameworks for AI use is also essential to ensure responsible and secure deployment. Given the global nature of AI threats, promoting international collaboration on AI security standards is crucial. Finally, focusing on “security by design” principles in AI development, integrating security considerations from the outset, is the most effective way to build resilient and trustworthy AI systems.  

    The AI security landscape is complex and constantly evolving. Staying ahead of the curve requires a proactive, multi-faceted approach that combines technical expertise, robust policies, ethical considerations, and ongoing vigilance. The storm of AI security risks is indeed brewing, but by understanding the threats and implementing effective mitigation strategies, businesses and governments can prepare for the downpour and navigate this challenging new terrain.

    Want to stay informed about the latest developments in AI security and cybercrime? Subscribe to our newsletter for in-depth analysis, expert insights, and practical tips to protect yourself and your organization. Or, join the conversation by leaving a comment below – we’d love to hear your thoughts and experiences!

    D. Bryan King

    Sources

    Disclaimer:

    The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

    Related Posts

    Rate this:

    #adversarialAttacks #AIAudit #AIBestPractices #AICompliance #AICybercrime #AIDataSecurity #AIForNationalSecurity #AIGovernance #AIInBusiness #AIInCriticalInfrastructure #AIInGovernment #AIIncidentResponse #AIMisuse #AIModelSecurity #AIMonitoring #AIRegulations #AIRiskAssessment #AIRiskManagement #AISafety #AISecurity #AISecurityAwareness #AISecurityFramework #AISecurityPolicies #AISecuritySolutions #AISecurityTrends2025 #AIStandards #AISupplyChainRisks #AIThreatIntelligence #AIThreatLandscape #AIThreats #AITraining #AIVulnerabilities #AIAssistedSocialEngineering #AIDrivenAttacks #AIEnabledMalware #AIGeneratedContent #AIPoweredCyberattacks #AIPoweredPhishing #artificialIntelligenceSecurity #cyberSecurity #cybersecurityRisks #dataBreaches #dataPoisoning #deepfakeDetection #deepfakeScams #ENISAFAICP #ethicalAI #generativeAISecurity #governmentAISecurity #largeLanguageModelSecurity #LLMSecurity #modelTheft #nationalSecurityAIRisks #NISTAIRMF #privacyLeaks #promptInjection #shadowAI #zeroTrustAI

  7. The AI Security Storm is Brewing: Are You Ready for the Downpour?

    1,360 words, 7 minutes read time.

    We live in an age where artificial intelligence is no longer a futuristic fantasy; it’s the invisible hand guiding everything from our morning commute to the recommendations on our favorite streaming services. Businesses are harnessing its power to boost efficiency, governments are exploring its potential for public services, and our personal lives are increasingly intertwined with AI-driven conveniences. But as this powerful technology becomes more deeply embedded in our world, a darker side is emerging – a growing storm of security risks that businesses and governments can no longer afford to ignore.

    Think about this: the global engineering giant Arup was recently hit by a sophisticated scam where cybercriminals used artificial intelligence to create incredibly realistic “deepfake” videos and audio of their Chief Financial Officer and other executives. This elaborate deception tricked an employee into transferring a staggering $25 million to fraudulent accounts . This isn’t a scene from a spy movie; it’s a chilling reality of the threats we face today. And experts are sounding the alarm, with a recent prediction stating that a massive 93% of security leaders anticipate grappling with daily AI-driven attacks by the year 2025. This isn’t just a forecast; it’s a clear warning that the landscape of cybercrime is being fundamentally reshaped by the rise of AI.  

    While AI offers incredible opportunities, it’s crucial to understand that it’s a double-edged sword. The very capabilities that make AI so beneficial are also being weaponized by malicious actors to create new and more potent threats. From automating sophisticated cyberattacks to crafting incredibly convincing social engineering schemes, AI is lowering the barrier to entry for cybercriminals and amplifying the potential for widespread damage. So, let’s pull back the curtain and explore the growing shadow of AI, delving into the specific security risks that businesses and governments need to be acutely aware of.

    One of the most significant ways AI is changing the threat landscape is by supercharging traditional cyberattacks. Remember those generic phishing emails riddled with typos? Those are becoming relics of the past. AI allows cybercriminals to automate and personalize social engineering schemes at an unprecedented scale. Imagine receiving an email that looks and sounds exactly like it came from your CEO, complete with their unique communication style and referencing specific projects you’re working on. AI can analyze vast amounts of data to craft these hyper-targeted messages, making them incredibly convincing and significantly increasing the chances of unsuspecting employees falling victim. This includes not just emails, but also more sophisticated attacks like “vishing” (voice phishing) where AI can mimic voices with alarming accuracy.  

    Beyond enhancing existing attacks, AI is also enabling entirely new forms of malicious activity. Deepfakes, like the ones used in the Arup scam, are a prime example. These AI-generated videos and audio recordings can convincingly impersonate individuals, making it nearly impossible to distinguish between what’s real and what’s fabricated. This technology can be used for everything from financial fraud and corporate espionage to spreading misinformation and manipulating public opinion. As Theresa Payton, CEO of Fortalice Solutions and former White House Chief Information Officer, noted, these deepfake scams are becoming increasingly sophisticated, making it critical for both individuals and companies to be vigilant .  

    But the threats aren’t just about AI being used to attack us; our AI systems themselves are becoming targets. Adversarial attacks involve subtly manipulating the input data fed into an AI model to trick it into making incorrect predictions or decisions. Think about researchers who were able to fool a Tesla’s autopilot system into driving into oncoming traffic by simply placing stickers on the road. These kinds of attacks can have serious consequences in critical applications like autonomous vehicles, healthcare diagnostics, and security systems .  

    Another significant risk is data poisoning, where attackers inject malicious or misleading data into the training datasets used to build AI models. This can corrupt the model’s learning process, leading to biased or incorrect outputs that can have far-reaching and damaging consequences. Imagine a malware detection system trained on poisoned data that starts classifying actual threats as safe – the implications for cybersecurity are terrifying.  

    Furthermore, the valuable intellectual property embedded within AI models makes them attractive targets for theft. Model theft, also known as model inversion or extraction, allows attackers to replicate a proprietary AI model by querying it extensively. This can lead to significant financial losses and a loss of competitive advantage for the organizations that invested heavily in developing these models.  

    The rise of generative AI, while offering incredible creative potential, also introduces its own unique set of security challenges. Direct prompt injection attacks exploit the way large language models (LLMs) work by feeding them carefully crafted malicious inputs designed to manipulate their behavior or output . This can lead to the generation of harmful, biased, or misleading information, or even the execution of unintended commands . Additionally, LLMs have the potential to inadvertently leak sensitive information that was present in their training data or provided in user prompts, raising serious privacy concerns. As one Reddit user pointed out, there are theoretical chances that your data can come out as answers to other users’ prompts when using these models.  

    Beyond these direct threats, businesses also need to be aware of the risks lurking in the shadows. “Shadow AI” refers to the unauthorized or ungoverned use of AI tools and services by employees within an organization. This can lead to the unintentional exposure of sensitive company data to external and potentially untrusted AI services, creating compliance nightmares and introducing security vulnerabilities that IT departments are unaware of.  

    So, what can businesses and governments do to weather this AI security storm? The good news is that proactive measures can significantly mitigate these risks. For businesses, establishing clear AI security policies and governance frameworks is paramount. This includes outlining approved AI tools, data handling procedures, and protocols for vetting third-party AI vendors. Implementing robust data security and privacy measures, such as encryption and strict access controls, is also crucial. Adopting a Zero-Trust security architecture for AI systems, where no user or system is automatically trusted, can add another layer of defense. Regular AI risk assessments and security audits, including penetration testing by third-party experts, are essential for identifying and addressing vulnerabilities. Furthermore, ensuring transparency and explainability in AI deployments, whenever possible, can help build trust and facilitate the identification of potential issues. Perhaps most importantly, investing in comprehensive employee training on AI security awareness, including recognizing sophisticated phishing and deepfake techniques, is a critical first line of defense.  

    Governments, facing even higher stakes, need to develop national AI security strategies and guidelines that address the unique risks to critical infrastructure and national security. Implementing established risk management frameworks like the NIST AI Risk Management Framework (RMF) and the ENISA Framework for AI Cybersecurity Practices (FAICP) can provide a structured approach to managing these complex risks. Establishing clear legal and regulatory frameworks for AI use is also essential to ensure responsible and secure deployment. Given the global nature of AI threats, promoting international collaboration on AI security standards is crucial. Finally, focusing on “security by design” principles in AI development, integrating security considerations from the outset, is the most effective way to build resilient and trustworthy AI systems.  

    The AI security landscape is complex and constantly evolving. Staying ahead of the curve requires a proactive, multi-faceted approach that combines technical expertise, robust policies, ethical considerations, and ongoing vigilance. The storm of AI security risks is indeed brewing, but by understanding the threats and implementing effective mitigation strategies, businesses and governments can prepare for the downpour and navigate this challenging new terrain.

    Want to stay informed about the latest developments in AI security and cybercrime? Subscribe to our newsletter for in-depth analysis, expert insights, and practical tips to protect yourself and your organization. Or, join the conversation by leaving a comment below – we’d love to hear your thoughts and experiences!

    D. Bryan King

    Sources

    Disclaimer:

    The views and opinions expressed in this post are solely those of the author. The information provided is based on personal research, experience, and understanding of the subject matter at the time of writing. Readers should consult relevant experts or authorities for specific guidance related to their unique situations.

    Related Posts

    Rate this:

    #adversarialAttacks #AIAudit #AIBestPractices #AICompliance #AICybercrime #AIDataSecurity #AIForNationalSecurity #AIGovernance #AIInBusiness #AIInCriticalInfrastructure #AIInGovernment #AIIncidentResponse #AIMisuse #AIModelSecurity #AIMonitoring #AIRegulations #AIRiskAssessment #AIRiskManagement #AISafety #AISecurity #AISecurityAwareness #AISecurityFramework #AISecurityPolicies #AISecuritySolutions #AISecurityTrends2025 #AIStandards #AISupplyChainRisks #AIThreatIntelligence #AIThreatLandscape #AIThreats #AITraining #AIVulnerabilities #AIAssistedSocialEngineering #AIDrivenAttacks #AIEnabledMalware #AIGeneratedContent #AIPoweredCyberattacks #AIPoweredPhishing #artificialIntelligenceSecurity #cyberSecurity #cybersecurityRisks #dataBreaches #dataPoisoning #deepfakeDetection #deepfakeScams #ENISAFAICP #ethicalAI #generativeAISecurity #governmentAISecurity #largeLanguageModelSecurity #LLMSecurity #modelTheft #nationalSecurityAIRisks #NISTAIRMF #privacyLeaks #promptInjection #shadowAI #zeroTrustAI

  8. buff.ly/hmO3jTn
    of pop greens and tangerines, by ココダ - coco (arurun) [EN]
    A journey through time in which Usopp, who has gone blind, and Nami try to avoid their crew's tragic future.
    #OnePiece #AU #TimeTravel #Usopp #Nami 4/5

  9. 食べるラー油系!​:karakuti:​​:af_rosacat_heart_happy:​​:umai:​
    シーチキン好きだったり…!
    ​:tuna_canned_misskeyn:​​:meow_rice:​​:calorie_no_gonge:​
    好きな物多すぎてあげきれないよね…!
    ​:blobcatrainbow:​​:iroiro_aru:​
    #好きなご飯のお供を言ってltlを米パーティー会場にする

  10. #Lesetipp 📚 | Auf dem „Decentered Archive“-Blog des MWN #Osteuropa berichtet Arūnas Bubnys über das ehemalige #KGB-#Archiv der Litauischen #SSR, wo über 140.000 Akten zur sowjetischen Überwachung und Verfolgung in Litauen aufgehoben werden.
    🔗Mehr erfahren unter decentarch.hypotheses.org/1831

  11. Asian Small-clawed Otter Aonyx cinereus

    Asian Small-clawed Otter Aonyx cinereus

    IUCN Red List Status: Vulnerable

    Locations: India, Nepal, Bangladesh, Bhutan, China, Taiwan, Myanmar, Thailand, Laos, Cambodia, Vietnam, Malaysia, Indonesia (Sumatra, Borneo, Java), The Philippines (Palawan)

    Found in freshwater wetlands, peat swamps, mangroves, hill streams and rice fields across South and Southeast Asia, with a genetically distinct and critically impacted subspecies (Aonyx cinereus nirnai) in the Western Ghats of India.

    The Asian Small-clawed #Otter, the world’s smallest otter species — is inquisitive, intelligent, and highly social. They are listed as #Vulnerable on the IUCN Red List and are declining rapidly due to #palmoil #tea and #coffee #deforestation, #poaching, #pesticide #pollution, and the illegal pet trade. Their fragile habitat in the Western Ghats, India home to the subspecies Aonyx cinereus nirnai, is being destroyed at an alarming rate for palm oil monocultures, plantations, and hydropower development. Boycott #palmoil and demand protection for these sensitive and intelligent wetland sentinels. #BoycottPalmOil #Boycott4Wildlife #Vegan #BoycottMeat

    The Asian Small-Clawed Otter 🦦🩷 is the smallest #otter in the 🌎. A tenacious survivor in #Asia’s vast #rivers, #pesticide pollution and #palmoil #ecocide now pose grave threats. Help them when you #Boycottpalmoil 🌴⛔️ #Boycott4Wildlife @palmoildetect https://palmoildetectives.com/2026/03/22/asian-small-clawed-otter-aonyx-cinereus/

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    Communicating with chirps and whistles, endearing Asian Small-Clawed #Otters live in rowdy groups 🦦😘 They’re #vulnerable from the illegal #pet trade and #palmoil #deforestation. #Boycottpalmoil 🌴🩸❌ #Boycott4Wildlife in the supermarket! @palmoildetect https://palmoildetectives.com/2026/03/22/asian-small-clawed-otter-aonyx-cinereus/

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    https://youtu.be/R9L-N1WgFig

    Appearance and Behaviour

    With silky chocolate-brown fur, pale undersides and a broad, flat face, the Asian Small-clawed Otter has a distinct charm. Their tiny claws don’t extend past their fingers — an adaptation that gives them remarkable dexterity for catching prey. They weigh only 2.7 to 3.5 kg and reach lengths of 73 to 96 cm, making them the smallest otter species in the world.

    Highly vocal and playful, these otters live in tight-knit family groups of up to 15. They communicate with at least a dozen vocalisations — chirps, squeals and whistles — and use communal latrines to mark their territories. In the Western Ghats, they are more active at night and prefer rugged hill streams with dense grasses and rocky pools for cover and escape routes.

    Threats

    Palm oil deforestation and peat swamp destruction

    Across Southeast Asia, especially in Indonesia and Malaysia, vast areas of peat swamp forests and mangroves — critical habitats for Asian Small-clawed Otters — have been destroyed to make way for palm oil plantations. These plantations drain wetlands, replace diverse ecosystems with monocultures, and leave otters with no access to food or cover. In India, the expansion of palm oil into the Western Ghats under so-called ‘green development’ initiatives is now destroying the rocky hill stream habitats used by the Aonyx cinereus nirnai subspecies. This deforestation not only eliminates their shelter and food sources but also causes soil erosion and alters the hydrology of entire watersheds.

    Conversion of forests to palm oil, tea and coffee plantations in the Western Ghats

    In southern India, particularly in Tamil Nadu and Kerala, large-scale conversion of native forests to palm oil, tea and coffee plantations is reducing the range of Aonyx cinereus nirnai. These monocultures fragment stream habitats and introduce pesticides that poison aquatic life. Studies have found the otters avoiding plantation areas due to lack of vegetation cover and prey (Raha & Hussain, 2016). As a result, the Western Ghats population is now restricted to narrow, isolated pockets, surrounded by human-altered landscapes that are increasingly inhospitable to them.

    Capture for the Illegal pet trade and cruel conditions in pet cafés

    The Asian Small-clawed Otter is the most heavily trafficked otter species in Asia’s exotic pet trade. Between 2016 and 2017, over 700 individuals were recorded for sale online in countries like Indonesia, Thailand, Malaysia, and Vietnam (Gomez & Bouhuys, 2018). Many are poached from the wild as pups, leading to the death of their parents and collapse of social groups. Captive conditions in pet cafés and private homes cause extreme stress and suffering — and demand is rising due to social media content that normalises otter ownership.

    Poaching for pelts and traditional use

    Poaching continues to be a severe threat in South Asia. In the Western Ghats, otters are hunted for their pelts and body parts, which are used in traditional medicine or sold on the black market. Reports from protected areas in India reveal organised trapping and trade routes extending across state lines (Prakash et al., 2012). These killings often go undocumented due to weak enforcement, and they rapidly deplete already fragile local populations.

    Overfishing and prey depletion

    In many parts of Asia, otters face competition from humans for aquatic prey. Overfishing in rivers, lakes, and mangroves has drastically reduced populations of crabs, mudskippers, and fish species that form the core of the otter’s diet. Pollution from fish farms and chemical runoff further weakens these food webs, making otter survival harder during dry or lean seasons. In some areas, otters are also deliberately killed by fishers who perceive them as pests competing for the same resources.

    Pesticide run-off pollution from agriculture

    Agricultural runoff from palm oil, tea and coffee plantations containing pesticides, herbicides, and heavy metals has been shown to poison water sources throughout the otter’s range. In the Western Ghats of India and parts of Southeast Asia, such contaminants accumulate in the food chain and affect the physiology of aquatic mammals. Polluted waterways reduce prey availability and can lead to bioaccumulation of toxins in otters, weakening their immune systems and reproductive capacity. This is especially critical in closed or stagnant freshwater systems like rice paddies and irrigation channels, where contamination is concentrated.

    Hydropower development and infrastructure fragmentation

    Dams and hydroelectric projects throughout the Western Ghats and Southeast Asia have altered river flow, submerged natural habitats, and fragmented otter territories. These developments destroy riverine connectivity, which otters rely on to forage and disperse. For the nirnai subspecies, hill streams once connected across forest corridors are now interrupted by roads, canals, and dams — leading to isolated, unsustainable populations. Infrastructure development often proceeds without proper environmental assessments, disregarding the needs of aquatic species like otters.

    Climate change and habitat drying

    Shifts in monsoon patterns, increased droughts, and rising temperatures are affecting the wetlands and rivers that Asian Small-clawed Otters depend on. Reduced water flow in dry seasons can strand otter families and eliminate key feeding pools. In the Western Ghats, erratic rainfall is already altering seasonal resource use patterns for A. c. nirnai, increasing their vulnerability to disturbance (Narasimmarajan et al., 2024). Climate stress, combined with other threats, compounds the likelihood of local extinctions.

    Geographic Range

    Their range stretches across India, Nepal, Bhutan, Bangladesh, Myanmar, Thailand, Laos, Cambodia, Vietnam, Malaysia, Indonesia (including Borneo, Sumatra, Java), the Philippines (Palawan), China and Taiwan. In India, they are found in Arunachal Pradesh, Assam, West Bengal, Odisha, Kerala, Karnataka and Tamil Nadu. They are absent from large swathes of their historical range, including the Western Himalayas.

    The genetically distinct subspecies Aonyx cinereus nirnai is restricted to the Western Ghats’ Moyar River and surrounding hill streams. This biodiverse stronghold is currently being cleared for palm oil plantations, hydropower projects, and invasive monocultures, putting this population in grave danger.

    Diet

    Asian Small-clawed Otters are primarily crustacean specialists. Their diet includes crabs, snails, molluscs, fish such as mudskippers and catfish, amphibians, insects, snakes, and even rodents. Scat analysis in Malaysia and Thailand revealed crabs to be the most frequent prey, often making up over 80% of their diet.

    In rice fields and mangroves, they may leave molluscs out in the sun to soften the shells before eating — a sign of their intelligence and adaptability. Seasonal changes in water levels influence the availability of prey, leading to subtle shifts in their dietary habits throughout the year.

    Mating and Reproduction

    These otters are monogamous and breed year-round, with gestation lasting 62–86 days. Litters typically include 2–7 pups. In captivity, they start breeding at around 18 months of age, and may live up to 11 years. Parents build nests together before birth and both contribute to raising the young. Pups begin to open their eyes around five weeks old and start swimming with their mothers at around three months.

    FAQs

    How many Asian Small-clawed Otters are left in the wild?

    There is no global population estimate, but their numbers are declining throughout their range. In China and Cambodia, they are now almost locally extinct, with only a few scattered sightings since 2006 (Li & Chan, 2017; Heng et al., 2016). Surveys in India confirm drastic reductions in range, especially from west to east, over the past 60 years (Hussain et al., 2011).

    What is the lifespan of the Asian ?

    In captivity, Asian Small-clawed Otters can live up to 11 years (Crandall, 1964). Their lifespan in the wild is likely shorter due to environmental pressures and poaching.

    Why are Asian Small Clawed Otters endangered?

    They are threatened by habitat loss from logging, plantations, palm oil, pollution, and construction of dams. In the Western Ghats, the genetically distinct nirnai subspecies is losing habitat to hydropower development and palm oil monocultures, which destroy the narrow, rocky streams they depend on (Narasimmarajan et al., 2024).

    Do Asian Small-clawed Otters make good pets?

    Absolutely not. Keeping them as pets is cruel and selfish. They are wild animals with complex social and environmental needs. The illegal pet trade is driving them towards extinction, causing immense suffering and ripping family groups apart (Gomez & Bouhuys, 2018). Buying a pet otter and also sharing pet otter content on social media fuels this horrific industry — if you love otters, protect them in the wild! Do not buy them as pets or support this cruel industry!

    How is palm oil affecting their survival?

    Palm oil plantations have destroyed vast tracts of mangroves, peat swamps, and wetlands in Malaysia, Indonesia, and now India. In the Western Ghats, forests are being cleared for palm oil under the guise of “afforestation” and “reforestation” using non-native species. This directly threatens the survival of A. c. nirnai (Narasimmarajan et al., 2024).

    Take Action!

    Raise your voice for the smallest otter in the world. Every time you shop, Boycott palm oil and reject products linked to deforestation and wetland destruction. Support indigenous-led conservation efforts in the Western Ghats and Southeast Asia.

    Never buy otters or exotic animals — their capture fuels extinction. Adopt a plant-based lifestyle to protect wetlands, rivers and biodiversity. #BoycottPalmOil #Boycott4Wildlife #Vegan #BoycottMeat

    Support Asian Small-Clawed Otters by going vegan and boycotting palm oil in the supermarket, it’s the #Boycott4Wildlife

    Support the conservation of this species

    This animal has no protections in place. Read about other forgotten species here. Create art to support this forgotten animal or raise awareness about them by sharing this post and using the #Boycottpalmoil #Boycott4Wildlife hashtags on social media. Also you can boycott palm oil in the supermarket.

    Further Information

    Gomez, L., & Bouhuys, J. (2018). Illegal otter trade: An analysis of seizures in selected Asian countries (1980–2015). TRAFFIC. https://www.traffic.org/site/assets/files/2402/illegal-otter-trade-asia.pdf

    Narasimmarajan, K., Mathai, M. T., Hayward, M. W., & Palanivel, S. (2024). Lesser-known sentinels: Role of environmental variables influencing the seasonal resource use patterns of Asian Small-clawed Otters (Aonyx cinereus nirnai) in the Western Ghats Moyar River Biodiversity Hotspots. IUCN Otter Spec. Group Bull., 41(5), 296–310. https://iucnosgbull.org/Volume41/Narasimmarajan_et_al_2024a.pdf

    Wikipedia contributors. (n.d.). Asian small-clawed otter. Wikipedia. https://en.wikipedia.org/wiki/Asian_small-clawed_otter

    Wright, L., de Silva, P.K., Chan, B.P.L., Reza Lubis, I. & Basak, S. 2021. Aonyx cinereusThe IUCN Red List of Threatened Species 2021: e.T44166A164580923. https://dx.doi.org/10.2305/IUCN.UK.2021-3.RLTS.T44166A164580923.en. Accessed on 17 April 2025.

    How can I help the #Boycott4Wildlife?

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    The World’s Most Loved Cup: A Social, Ethical & Environmental History of Coffee by Aviary Doert

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    How do we stop the world’s ecosystems from going into a death spiral? A #SteadyState Economy

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    3. Supermarket sleuthing: Next time you’re in the supermarket, take photos of products containing palm oil. Share these to social media along with the hashtags to call out the greenwashing and ecocide of the brands who use palm oil. You can also take photos of palm oil free products and congratulate brands when they go palm oil free.

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    #animals #Asia #AsianSmallClawedOtterAonyxCinereus #Bangladesh #Bhutan #Borneo #Boycott4wildlife #BoycottMeat #BoycottPalmOil #Cambodia #China #climateChange #coffee #dams #deforestation #ecocide #ForgottenAnimals #hunting #illegalPetTrade #India #Indonesia #infrastructure #Laos #Mammal #mangroves #Myanmar #Nepal #Otter #Otters #PalmOil #palmOilDeforestation #palmoil #pesticide #pet #Philippines #poachers #poaching #pollution #rivers #SouthEastAsia #Sumatra #tea #Thailand #vegan #Vietnam #vulnerable #VulnerableSpecies #Wetlands
  12. Käisin õues, sest ma suht öine inimene, ka oli vaja mõned tööd teha...
    ... et tõin homseks puud tuppa – arukas on lasta puudel taheneda, sest isegi kuuris ja katuse all on nad ikka niiskemad kui ööläbi toas olnuna. Pealegi, mulle ei meeldi unesoojana hommikul kohe õue ronida...
    ... ka lindude seemnetoru vajas täitmist, sest linnud tulevad ikka väga vara sööma...

    Punane härra Archie tuli samuti koos minuga õue ning mul õnnestus ta isegi ühele pildile püüda.

    #kass #telopildid

  13. Diddy implore la clémence avant sa condamnation : “Je ne commettrai plus jamais de crime”

    À moins de 24 heures de sa condamnation, Sean “Diddy” Combs a adressé une lettre au juge pour demander la clémence. Le magnat du hip-hop reconnaît ses erreurs passées et promet de ne plus jamais enfreindre la loi. Son objectif : redevenir un père et un fils exemplaire tout en poursuivant son engagement dans sa communauté.

    Une lettre poignante au juge

    Des excuses publiques et assumées

    Sean “Diddy” Combs a pris la plume pour adresser une lettre de quatre pages au juge Arun Subramanian, dans laquelle il sollicite une sentence clémente. Le célèbre entrepreneur y exprime des excuses profondes : « Tout d’abord, je tiens à m’excuser et à dire combien je suis sincèrement désolé pour la douleur et le tort que j’ai causés aux autres par mon comportement », écrit-il. Il affirme prendre l’entière responsabilité de ses actes passés, soulignant que des simples mots ne suffiraient jamais à effacer la souffrance infligée.

    Publicités

    Une introspection douloureuse

    Dans sa lettre, Diddy revient sur son incarcération de 13 mois, expliquant que les images de son agression sur Cassie le hantent quotidiennement : « Les scènes et images de moi en train d’agresser Cassie défilent dans ma tête jour après jour. J’ai littéralement perdu la raison », confie-t-il. Il décrit un parcours semé d’excès et de dépendances, lié selon lui à son égoïsme, et affirme que la prison l’a profondément transformé, tant sur le plan mental que physique et spirituel.

    Un appel à la clémence et à la rédemption

    Une volonté de changer

    Diddy demande au juge une seconde chance pour pouvoir redevenir un meilleur père pour ses sept enfants et un fils attentif pour sa mère malade. « Aujourd’hui, je demande humblement une autre chance — une autre chance d’être un meilleur père, une autre chance d’être un meilleur fils, une autre chance d’être un meilleur leader dans ma communauté, et une autre chance de mener une meilleure vie », écrit-il. Il insiste sur le fait qu’il ne cherche ni sympathie ni pitié, mais souhaite montrer que cette expérience a bouleversé sa vie et qu’il ne commettra plus jamais de crime.

    Publicités

    Une vie transformée derrière les barreaux

    Le rappeur explique que son incarcération a été une épreuve de transformation : « L’ancien moi est mort en prison et une nouvelle version de moi est née. La prison vous change ou vous tue — j’ai choisi de vivre. » Ces mots traduisent une volonté de rédemption sincère, dans un contexte où sa carrière et sa réputation sont en jeu.

    Les enjeux judiciaires

    Une demande de peine sévère par les procureurs

    Plus tôt dans la semaine, les procureurs ont requis une peine minimale de 11 ans de prison pour les deux chefs d’accusation de transport pour prostitution. Ces demandes reflètent la gravité des charges retenues contre le magnat du hip-hop et la volonté de la justice de sanctionner de manière exemplaire ces infractions.

    Publicités

    La défense plaide pour une peine réduite

    L’avocat de Diddy a renforcé sa demande pour que la sentence soit limitée à 14 mois, incluant le temps déjà purgé, ce qui permettrait à l’artiste d’être libéré avant la fin de l’année. Cette requête, présentée dans le cadre de négociations judiciaires, illustre la bataille juridique en cours pour atténuer la peine du célèbre entrepreneur.

    Une audience décisive imminente

    Un verdict attendu avec attention

    Sean “Diddy” Combs doit comparaître demain matin à 10 h, heure de l’Est, pour sa condamnation. Lors de cette audience, il devrait s’adresser directement au juge, renforçant le poids de sa lettre et de ses arguments en faveur de la clémence. La tension est palpable, tant pour l’artiste que pour ses fans et sa famille.

    Publicités

    Un tournant dans sa carrière et sa vie personnelle

    Cette condamnation pourrait marquer un tournant décisif dans la vie de Diddy, tant sur le plan personnel que professionnel. La sentence finale déterminera sa capacité à poursuivre ses engagements familiaux et communautaires, mais aussi à reconstruire sa réputation, mise à mal par les accusations portées contre lui.

    Sean “Diddy” Combs fait face à l’une des périodes les plus critiques de sa vie, conscient des erreurs passées et désireux de rédemption. Sa lettre au juge illustre une introspection profonde et une volonté sincère de changer. La décision judiciaire à venir décidera de son avenir et de la possibilité pour l’artiste de retrouver sa place auprès de sa famille et de sa communauté.

    #condamnation #Diddy #hipHop #justiceAméricaine #lettreAuJuge #prison #rédemption #SeanCombs #transportPourProstitution

  14. @theguardian_world_news

    Thank you Arundhati Roy for standing up against the normalization of genocide.

    I'm shaken by the director of Buena Vista. Social Club, Pina & Paris Texas having spoken like this.

    Not again!
    Creating beauty does not stop the creator treating people like things.

    Some people learnt the wrong lessons from the Nazis mass murdering Jews in WWII.

    #WimWenders #BerlinFilmFestival2026 #GazaGenocide #ArundhatiRoy #BuenaVistaSocialClub #Pina #ParisTexas

  15. @theguardian_world_news

    Thank you Arundhati Roy for standing up against the normalization of genocide.

    I'm shaken by the director of Buena Vista. Social Club, Pina & Paris Texas having spoken like this.

    Not again!
    Creating beauty does not stop the creator treating people like things.

    Some people learnt the wrong lessons from the Nazis mass murdering Jews in WWII.

    #WimWenders #BerlinFilmFestival2026 #GazaGenocide #ArundhatiRoy #BuenaVistaSocialClub #Pina #ParisTexas

  16. @theguardian_world_news

    Thank you Arundhati Roy for standing up against the normalization of genocide.

    I'm shaken by the director of Buena Vista. Social Club, Pina & Paris Texas having spoken like this.

    Not again!
    Creating beauty does not stop the creator treating people like things.

    Some people learnt the wrong lessons from the Nazis mass murdering Jews in WWII.

    #WimWenders #BerlinFilmFestival2026 #GazaGenocide #ArundhatiRoy #BuenaVistaSocialClub #Pina #ParisTexas

  17. @theguardian_world_news

    Thank you Arundhati Roy for standing up against the normalization of genocide.

    I'm shaken by the director of Buena Vista. Social Club, Pina & Paris Texas having spoken like this.

    Not again!
    Creating beauty does not stop the creator treating people like things.

    Some people learnt the wrong lessons from the Nazis mass murdering Jews in WWII.

    #WimWenders #BerlinFilmFestival2026 #GazaGenocide #ArundhatiRoy #BuenaVistaSocialClub #Pina #ParisTexas

  18. @theguardian_world_news

    Thank you Arundhati Roy for standing up against the normalization of genocide.

    I'm shaken by the director of Buena Vista. Social Club, Pina & Paris Texas having spoken like this.

    Not again!
    Creating beauty does not stop the creator treating people like things.

    Some people learnt the wrong lessons from the Nazis mass murdering Jews in WWII.

    #WimWenders #BerlinFilmFestival2026 #GazaGenocide #ArundhatiRoy #BuenaVistaSocialClub #Pina #ParisTexas