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AI Security
Addressing the Full Stack of AI Concerns: Responsible AI, Trustworthy AI, Secure AI and Safe AI Explained
As AI continues to evolve and integrate deeper into societal frameworks, the strategies for its governance, alignment, and security must…
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AI Security
The Dual Risks of AI Autonomous Robots: Uncontrollable AI Meets Cyber-Kinetic Risks
The automotive industry has revolutionized manufacturing twice. The first time was in 1913 when Henry Ford introduced a moving assembly…
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AI Security
Fortifying the Future: Cyber-Kinetic Risks in Kingdom of Saudi Arabia’s (KSA) Technological Zeitgeist
It’s a good time to be in construction, especially if you happen to operate in Saudi Arabia. Even in the…
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Defence.AI
Marin’s Statement on AI Risk
The rapid development of AI brings both extraordinary potential and unprecedented risks. AI systems are increasingly demonstrating emergent behaviors, and…
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My Perspectives
AI Oasis: AI’s Role in Saudi Vision 2030
In a country that so highly prizes tradition, it is refreshing to see such progressive thinking translated into action. Vision…
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AI Security
AI Security 101
Artificial Intelligence (AI) is no longer just a buzzword; it’s an integral part of our daily lives, powering everything from…
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AI Security
Why We Need a Chief AI Security Officer (CAISO)
With AI’s breakneck expansion, the distinctions between ‘cybersecurity’ and ‘AI security’ are becoming increasingly pronounced. While both disciplines aim to…
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My Perspectives
Saudi Arabia Vision 2030: Cybersecurity at the Core of the National Transformation
In KSA, where bold development plans include smart cities, smart ports, AI-integrated infrastructure and digital technologies at the core of…
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AI Security
How to Defend Neural Networks from Neural Trojan Attacks
Neural networks learn from data. They are trained on large datasets to recognize patterns or make decisions. A Trojan attack…
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My Perspectives
Will the Kingdom of Saudi Arabia (KSA) beat Japan to Society 5.0?
In April 2016, the Kingdom of Saudi Arabia (KSA) launched Vision 2030, a comprehensive and ambitious long-term development plan aimed…
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AI Security
Model Fragmentation and What it Means for Security
Model fragmentation is the phenomenon where a single machine-learning model is not used uniformly across all instances, platforms, or applications.…
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AI Security
Outsmarting AI with Model Evasion
Model Evasion in the context of machine learning for cybersecurity refers to the tactical manipulation of input data, algorithmic processes,…
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AI Security
Securing Machine Learning Workflows through Homomorphic Encryption
Homomorphic Encryption has transitioned from being a mathematical curiosity to a linchpin in fortifying machine learning workflows against data vulnerabilities.…
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AI Security
Understanding Data Poisoning: How It Compromises Machine Learning Models
Data poisoning is a targeted form of attack wherein an adversary deliberately manipulates the training data to compromise the efficacy…
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AI Security
Semantic Adversarial Attacks: When Meaning Gets Twisted
Semantic adversarial attacks represent a specialized form of adversarial manipulation where the attacker focuses not on random or arbitrary alterations…
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