Category: aiMSSP

Cybersecurity in Middle Eastern Healthcare: Protecting Patients in a Digital Age

Cybersecurity in Middle Eastern Healthcare: Protecting Patients in a Digital Age

The Middle East’s healthcare sector is undergoing rapid digital transformation. From electronic health records (EHRs) and telemedicine to Internet of Medical Things (IoMT) devices and cloud-based diagnostics, hospitals and healthcare providers are embracing innovation to improve outcomes and expand access. But with every new connection comes a new vulnerability. Cybercriminals are increasingly targeting healthcare institutions,

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Securing the Middle East’s Financial Future: AI-Driven Cybersecurity for BFSI

Securing the Middle East’s Financial Future: AI-Driven Cybersecurity for BFSI

The Banking, Financial Services, and Insurance (BFSI) sector across the Middle East is evolving at an unprecedented pace. From mobile apps and digital wallets to AI-driven wealth management, financial institutions are embracing innovation to serve a growing, tech-savvy customer base. However, with this digital growth comes increased exposure to cyber threats. Recent findings from the

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RSAC 2025 Recap: Why the Future of Cybersecurity Belongs to Unified Platforms

RSAC 2025 Recap: Why the Future of Cybersecurity Belongs to Unified Platforms

The RSAC Conference 2025 marked a pivotal shift in the cybersecurity industry’s collective mindset. From C-level leaders to frontline practitioners, there was a growing acknowledgment of what many have quietly known for years: the fragmented “best-of-breed” security stack is no longer enough. As threats grow more complex and attack surfaces expand, so too must the

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AI Security Risks: Jailbreaks, Unsafe Code, and Data Theft Threats in Leading AI Systems

AI Security Risks: Jailbreaks, Unsafe Code, and Data Theft Threats in Leading AI Systems

In recent reports, significant security vulnerabilities have been uncovered in some of the world’s leading generative AI systems, such as OpenAI’s GPT-4, Anthropic’s Claude, and Google’s Gemini. While these AI models have revolutionized industries by automating complex tasks, they also introduce new cybersecurity challenges. These risks include AI jailbreaks, the generation of unsafe code, and

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