AI

Key Questions CISOs Must Ask Before Adopting AI-enabled Cyber Solutions

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The article outlines crucial steps and questions for CISOs considering AI-powered security tools. Threats involving AI, like deepfakes and data leaks, are growing, making AI-driven defenses necessary. Organizations benefit from faster breach recovery and cost savings with AI, but also face risks from unmanaged shadow AI. Key uses of AI in security include threat detection, automated reporting, and alert management. CISOs should evaluate the organization’s risk tolerance, specific security needs, and regulatory environment, and consider whether to adopt platform-based or point solutions. When assessing vendors, focus on areas such as shadow AI identification, data protection, effectiveness metrics, workforce impact, tool integration, regulatory compliance, trust in AI decisions, scalability, vendor reliability, ongoing support, and total cost.

https://www.csoonline.com/article/4094763/key-questions-cisos-must-ask-before-adopting-ai-enabled-cyber-solutions.html

AI Takes Center Stage as the Major Threat to Cybersecurity in 2026

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Experian’s 2026 forecast warns that AI is transforming cyberattacks, making them more advanced and personal, with threats like synthetic identities and AI-powered malware. Data breaches are at record levels, and many consumers—especially millennials—report rising identity theft and phishing. Most people are worried that companies aren’t ready for AI-based attacks. In Australia, CPA’s report highlights that as more businesses adopt AI, cyber risks rise, especially for small firms, with many still lacking solid protections. Both organizations recommend stronger cybersecurity strategies, frequent updates, and more training as reliance on AI grows.

https://finance.yahoo.com/news/ai-takes-center-stage-major-110000818.html

AI Adoption Surges While Governance Lags — Report Warns of Growing Shadow Identity Risk

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AI adoption in organizations is widespread but governance is lacking, with only 13% of firms monitoring AI data handling. A report highlights that two-thirds of respondents noticed AI tools over-accessing sensitive data, and many have insufficient real-time controls. Autonomous AI agents are particularly vulnerable, with limited oversight. Just 7% of organizations have a dedicated AI governance team, indicating significant gaps in regulatory readiness. The report advocates for a shift to data-centric oversight of AI to secure sensitive information effectively.

https://www.cybersecurity-insiders.com/ai-adoption-surges-while-governance-lags-report-warns-of-growing-shadow-identity-risk/

2025 State of AI Data Security Report

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AI adoption is widespread (83%), but oversight is lacking (only 13% have strong visibility). This creates risks with autonomous agents acting beyond control, as 76% find them hardest to secure. Governance is weak, with only 7% having dedicated AI teams. The report highlights the need for better monitoring and identity management for AI within enterprises.

https://www.cybersecurity-insiders.com/portfolio/2025-state-of-ai-data-security-report-cyera/

The Digital Omnibus: Deregulation Dressed as Innovation

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EU’s Digital Omnibus loosens data and AI safeguards for workers under the guise of fostering innovation, benefiting mainly US tech giants. It consolidates data laws but lacks serious impact assessments, weakening protections and oversight for workers in AI-dominated workplaces. Changes to GDPR and AI regulations allow employers greater control over personal data, limiting workers’ rights to transparency and resistance against automated decisions, while reducing oversight and AI literacy obligations. Overall, the document argues that the Omnibus prioritizes competitiveness over worker protections, shifting risks onto vulnerable users.

https://www.socialeurope.eu/the-digital-omnibus-deregulation-dressed-as-innovation

Europe’s Digital Sovereignty Hinges on Smarter Regulation for Data Access

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Extreme TLDR: Europe’s digital sovereignty depends on smarter data regulation amid market concentration in AI. Simplifying regulation fails to support new tech entrants, as access to data is key for competitiveness. A proposed European Data Commons could enhance access and legal clarity for start-ups while ensuring compensation for content creators, thus fostering innovation without losing regulatory ambition.

https://www.techpolicy.press/europes-digital-sovereignty-hinges-on-smarter-regulation-for-data-access/

‘Pure Regulatory Chaos’: Move to Help Europe Win Artificial Intelligence Race Misfires

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The European Commission has delayed final AI Act rules meant to regulate high-risk AI systems, following pressure from industry. This delay creates significant uncertainty, as required legislative changes may not be completed before the current August 2026 deadline. If lawmakers miss this deadline, confusing legal gaps could arise. The pause could last up to 16 months, but may end sooner, leaving businesses unsure about planning and compliance. Companies and experts describe the situation as chaotic, with some pausing compliance work while others press on. The result is widespread criticism that this uncertainty undermines legal stability and Europe’s tech competitiveness.

https://www.politico.eu/article/eu-ai-race-tech-legal-mess-build-legislators/

The New Jobs AI Is Creating for the Workforce

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AI is creating new job roles such as decision designer, AI experience officer, and digital ethics advisor, focusing on human-AI collaboration. These roles integrate machine learning with psychology and ethics, tackling the complexities of AI governance and the human aspects of technology. Organizations need to restructure for AI integration, ensuring human oversight and ethical considerations remain central in this transition.

https://www.businessinsider.com/new-jobs-ai-creates-workforce-decision-designer-experience-officer-2025-12

78% of IT Job Postings Already Require AI Skills

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AI competencies are now central to IT jobs, with 78% of postings in advanced economies requiring these skills. Most fast-growing roles involve AI, and soft skills are increasingly important. While automation may lead to significant job loss, even more positions will be created, although reskilling—not just upskilling—is essential for workers displaced by technology. Entry-level job ads are dropping in some sectors due to AI, but retiring professionals will open new opportunities for younger workers. Companies are adjusting hiring and training practices, and new entry-level roles will require more complex knowledge work. Europe is slower than English-speaking regions to invest in these workforce changes.

https://www.cio.com/article/4094687/without-ai-the-it-job-market-would-hardly-be-possible-anymore.html

2026: the Year AI Grows Up

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Taylor Wessing provides insights on upcoming AI regulations and developments for 2026, highlighting the maturity of AI technologies and compliance requirements due to the EU AI Act. Companies must prepare for risks associated with high-risk AI systems, including implementing risk management protocols and achieving dataset quality. The introduction of Codes of Practice will guide compliance, while potential changes in personal data use regulations could impact AI development. The firm also anticipates discussions on copyright, AI liability insurance, and the integration of AI agents into workflows, emphasizing the necessity for standardization and cybersecurity in an evolving landscape marked by both innovation and increased threat actor sophistication.

https://www.taylorwessing.com/en/interface/2025/predictions-2026/2026-the-year-ai-grows-up

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