Remove Artificial Intelligence Remove Machine Learning Remove Security
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Saudi Arabia’s cybersecurity strategy: Building a resilient digital future

CIO

As Saudi Arabia accelerates its digital transformation, cybersecurity has become a cornerstone of its national strategy. With the rise of digital technologies, from smart cities to advanced cloud infrastructure, the Kingdom recognizes that protecting its digital landscape is paramount to safeguarding its economic future and national security.

Strategy 158
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Dulling the impact of AI-fueled cyber threats with AI

CIO

But when it comes to cybersecurity, AI has become a double-edged sword. While poised to fortify the security posture of organizations, it has also changed the nature of cyberattacks. While LLMs are trained on large amounts of information, they have expanded the attack surface for businesses.

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Singapore unveils AI system guidelines, emphasizing secure-by-design

CIO

Singapore has rolled out new cybersecurity measures to safeguard AI systems against traditional threats like supply chain attacks and emerging risks such as adversarial machine learning, including data poisoning and evasion attacks.

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Accelerating AI at scale without sacrificing security

CIO

For others, it may simply be a matter of integrating AI into internal operations to improve decision-making and bolster security with stronger fraud detection. With the rise of AI and data-driven decision-making, new regulations like the EU Artificial Intelligence Act and potential federal AI legislation in the U.S.

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MLOps 101: The Foundation for Your AI Strategy

Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Download this comprehensive guide to learn: What is MLOps? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?

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Revolutionizing data management: Trends driving security, scalability, and governance in 2025

CIO

As enterprises scale their digital transformation journeys, they face the dual challenge of managing vast, complex datasets while maintaining agility and security. With machine learning, these processes can be refined over time and anomalies can be predicted before they arise. This reduces manual errors and accelerates insights.

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How AI can alleviate help desk workloads

CIO

Unsurprisingly, this is leading to staff frustration and burnout, dissatisfied end users and persistent security vulnerabilities. The reasons include more software deployments, network reliability problems, security incidents/outages, and a rise in remote working. These technologies handle ticket classification, improving accuracy.