AI

Fighting Payment Fraud With AI

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AI combats payment fraud as criminals utilize it to execute attacks. Traditional defenses falter against AI-driven scams, leading to increased false declines of legitimate transactions. Static rule-based systems fail to adapt to evolving fraud tactics. AI enables real-time transaction analysis, enhancing accuracy and reducing losses by dynamically scoring risks. Companies like Stripe leverage AI for improved fraud prevention, leading to increased revenues and better customer experiences. Investing in AI for fraud prevention is now vital for growth and trust in e-commerce.

https://www.business-reporter.co.uk/technology/fighting-payment-fraud-with-ai

MIT Study Finds AI Can Already Replace 11.7% of U.S. Workforce

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MIT study: AI can replace 11.7% of U.S. workforce, impacting $1.2 trillion in wages. The Iceberg Index simulates worker interactions and job shifts due to AI, informing policymakers about workforce disruptions across all states, not just tech hubs. It offers localized data and predicts which skills may be automated, aiding in training investments and preparation for AI’s economic impact.

https://www.cnbc.com/2025/11/26/mit-study-finds-ai-can-already-replace-11point7percent-of-us-workforce.html

Bendigo Bank Adopts Google Cloud AI to Boost Staff Skills & Security

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Bendigo Bank partners with Google Cloud for AI and cybersecurity enhancement, improving staff skills and operational efficiency. The collaboration includes deploying AI tools like Gemini Enterprise to enhance productivity, streamline processes, and bolster security via Google’s systems. The aim is to create a digitally skilled workforce and improve customer services for 2.9 million customers while ensuring robust security measures.

https://securitybrief.com.au/story/bendigo-bank-adopts-google-cloud-ai-to-boost-staff-skills-security

As AI Redraws Threat Landscape, Cybersecurity Training Faces Reality Check on What Future Defenders Truly Need

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AI-driven cyber threats are increasing, necessitating urgent demand for skilled cybersecurity professionals. Organizations must enhance training that combines technical skills with soft skills to prepare future defenders. The cybersecurity workforce faces a significant talent shortage, estimated at 2.8 to 4.8 million professionals globally. Effective use of AI in cybersecurity can mitigate risks, but organizations often struggle to find talent with the required expertise. Closing the skills gap demands long-term strategies focused on education, targeted training, and collaboration across sectors.

https://industrialcyber.co/reports/as-ai-redraws-threat-landscape-cybersecurity-training-faces-reality-check-on-what-future-defenders-truly-need/

Top 10 Proposed Changes in the EU’s Digital Omnibus

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EU’s Digital Omnibus proposes reforms to modernize regulations such as the GDPR, NIS2, Data Act, and AI Act. Key changes include redefining personal data, expanding lawful processing bases for AI, refining data subject access rules, and altering cookie consent requirements. It aims to simplify reporting in cybersecurity and adjust deadlines for high-risk AI obligations. The legislative process may modify these proposals.

https://www.hoganlovells.com/en/publications/top-10-proposed-changes-in-the-eus-digital-omnibus

Agents, Robots, and Us: Skill Partnerships in the Age of AI

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AI is reshaping work, emphasizing partnerships between humans, agents, and robots. Over 70% of current skills remain relevant despite evolving automation demands. A Skill Change Index reveals which skills will be affected by automation, with digital skills being most impacted. By 2030, $2.9 trillion in economic value could be unlocked if organizations adapt workflows to integrate AI and human collaboration. While automation can take over significant work hours, many tasks requiring social and emotional skills remain beyond AI’s reach, ensuring humans stay essential in the workforce. The dynamic shifts in roles highlight the necessity for AI fluency and complementary skillsets in the future workplace.

https://www.mckinsey.com/mgi/our-research/agents-robots-and-us-skill-partnerships-in-the-age-of-ai

NIS2’s Shadow: Privacy-by-Design Reshapes AI Security in 2025

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NIS2 Directive boosts EU cybersecurity, requiring privacy-by-design in AI governance, reducing compliance costs by 25%. It mandates stricter incident reporting and risk management across 18 sectors. This pushes firms to adopt proactive threat modeling and integrate privacy safeguards, as awareness grows around AI-driven threats and quantum risks. Compliance is critical, with heavy penalties for non-compliance, reshaping AI governance and security strategies in the region.

https://www.webpronews.com/nis2s-shadow-privacy-by-design-reshapes-ai-security-in-2025/

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