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Enhancing Financial Cyber Resilience In The Age Of Advanced AI

by THEFUTURE.TEAM

June 22, 2026

Emerging AI Technologies And Cyber Threats

According to CySEC, frontier AI models are becoming increasingly capable of identifying and exploiting software vulnerabilities, reducing the time between vulnerability discovery and potential attacks. The warning covers Cyprus Investment Firms, central securities depositories, trading venues, crypto-asset service providers, alternative investment fund managers, and UCITS management companies.

Digital Operational Resilience In Focus

Under the Digital Operational Resilience Act (DORA), regulated entities are required to maintain ICT risk management frameworks that address a changing cyber threat environment, including risks associated with emerging AI technologies. Firms were also urged to review existing controls and ensure that vulnerability management, patching procedures, and assessments of third-party ICT service providers are carried out effectively and on time.

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Proactive Measures And Enhanced Monitoring

CySEC’s circular calls for stronger threat intelligence efforts and greater use of automation in security orchestration. Improved monitoring and detection systems would help institutions identify and respond to increasingly sophisticated cyberattacks more quickly. Maintaining resilient backup, restoration, and disaster recovery systems was highlighted as another priority, particularly during major cyber incidents.

Integrating AI Risks Into Governance

AI-related cyber risks should also be incorporated into ICT risk assessments, governance frameworks, and operational resilience plans, CySEC said. Such measures can help protect critical systems while supporting continuous improvements through post-incident reviews, updated threat intelligence, and testing.

Continued Oversight And Future Engagement

Looking ahead, CySEC said it will continue monitoring developments in frontier AI technologies and their implications for cybersecurity. The commission also plans to work with supervised entities to assess preparedness and ensure governance practices evolve alongside emerging risks.

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Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

August 6, 2026

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

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Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.