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    Marin Ivezic

    Marin Ivezic Over the past two decades, I’ve closely observed advancements in AI and authored a book on its future. Early involvement in AI security research since the 2000s led me to recognize AI as a potentially unparalleled threat, notably in military contexts and AI-driven disinformation – my previous research projects. I’ve previously served as a Fortune Global 500 CISO, CTO, Big 4 partner, and leader at Accenture and IBM. Alongside my AI focus, I founded Applied Quantum, advising organizations on quantum opportunities and quantum threats. I regularly discuss AI and quantum risks with global governments and enterprises, which I explore further on my blogs, Securing.AI and PostQuantum.com. More about me.

    Luka Ivezic

    Luka Ivezic Luka Ivezic is a guest contributor to securing.ai. He is the Lead Cybersecurity Consultant for Europe at the Information Security Forum (ISF), a leading global, independent, and not-for-profit organisation dedicated to cybersecurity and risk management. Before joining ISF, Luka served as a cybersecurity consultant and manager at PwC and Deloitte. His journey in the field began as an independent researcher focused on cyber and geopolitical implications of emerging technologies such as AI, IoT, 5G. He co-authored with Marin the book “The Future of Leadership in the Age of AI”. Luka holds a Master’s degree from King’s College London’s Department of War Studies, where he specialized in the disinformation risks posed by AI.

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        AI Security Articles

        AI Safety Articles

        AI Privacy Articles

        • AI Privacy Chief AI Security Officer CAISO

          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 safeguard digital assets, their focus and the challenges they address diverge in significant ways. Traditional cybersecurity is primarily about defending digital infrastructures from external threats, breaches, and unauthorized access. On the other hand, AI security has to address unique challenges…

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        • AI Privacy Homomorphic Encryption ML

          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. Its complex nature notwithstanding, the unparalleled privacy and security benefits it offers are compelling enough to warrant its growing ubiquity. As machine learning integrates increasingly with sensitive sectors like healthcare, finance, and national security, the imperative for employing encryption techniques…

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        • AI Privacy Dynamic Data Masking ML

          How Dynamic Data Masking Reinforces Machine Learning Security

          Data masking, also known as data obfuscation or data anonymization, serves as a crucial technique for ensuring data confidentiality and integrity, particularly in non-production environments like development, testing, and analytics. It operates by replacing actual sensitive data with a sanitized version, rendering the data ineffective for malicious exploitation while retaining its functional utility for testing or analysis.

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        • AI Privacy Differential Privacy AI

          Securing Data Labeling Through Differential Privacy

          Differential Privacy is a privacy paradigm that aims to reconcile the conflicting needs of data utility and individual privacy. Rooted in the mathematical theories of privacy and cryptography, Differential Privacy offers quantifiable privacy guarantees and has garnered substantial attention for its capability to provide statistical insights from data without compromising the privacy of individual entries. This robust mathematical framework incorporates…

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        • AI Privacy AI Smart City Privacy

          The Future of Privacy in our Smart Living – Part 2

          In a world where the population is increasing and resources are finite, we need to find smarter ways of living together. Smart technologies hold the key to making this happen but we need to proceed with caution and build a layer of respectful trust and privacy in our smart places.

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        • AI Privacy Smart City Privacy AI

          The Future of Privacy in our Smart Living

          It is inevitable and important that human society moves towards a smarter way of living. We must use intelligent ways to improve our infrastructure and its dependencies. To do this we have to share our personal information, from direct to indirect identifiers. At some point, in a not too distant future, it is likely our every moment, both awake and…

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        AI Disinformation Articles

        • AI Disinformation AI Disinformation

          Introduction to AI-Enabled Disinformation

          In recent years, the rise of artificial intelligence (AI) has revolutionized many sectors, bringing about significant advancements in various fields. However, one area where AI has presented a dual-edged sword is in information operations, specifically in the propagation of disinformation. The advent of generative AI, particularly with sophisticated models capable of creating highly realistic text, images, audio, and video, has…

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        • AI Disinformation AI Targeted Disinformation

          Targeted Disinformation

          Targeted disinformation poses a significant threat to societal trust, democratic processes, and individual well-being. The use of AI in these disinformation campaigns enhances their precision, persuasiveness, and impact, making them more dangerous than ever before. By understanding the mechanisms of targeted disinformation and implementing comprehensive strategies to combat it, society can better protect itself against these sophisticated threats.

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        • AI Disinformation AI Disinformation

          AI-Exacerbated Disinformation and Threats to Democracy

          Recent events have confirmed that the cyber realm can be used to disrupt democracies as surely as it can destabilize dictatorships. Weaponization of information and malicious dissemination through social media pushes citizens into polarized echo chambers and pull at the social fabric of a country. Present technologies enhanced by current and upcoming Artificial Intelligence (AI) capabilities, could greatly exacerbate disinformation…

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        AI (Other) Articles

        • AI Perspectives History AI

          A (Very) Brief History of AI

          As early as the mid-19th century, Charles Babbage and Ada Lovelace created the Analytical Engine, a mechanical general-purpose computer. Lovelace is often credited with the idea of a machine that could manipulate symbols in accordance with rules and that it might act upon other than just numbers, touching upon concepts central to AI.

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        • AI Perspectives AI Risks

          Risks of AI – Meeting the Ghost in the Machine

          Because it demands so much manpower, cybersecurity has already benefited from AI and automation to improve threat prevention, detection and response. Preventing spam and identifying malware are already common examples. However, AI is also being used – and will be used more and more – by cybercriminals to circumvent cyberdefenses and bypass security algorithms. AI-driven cyberattacks have the potential to…

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        • AI Disinformation AI Disinformation

          AI-Exacerbated Disinformation and Threats to Democracy

          Recent events have confirmed that the cyber realm can be used to disrupt democracies as surely as it can destabilize dictatorships. Weaponization of information and malicious dissemination through social media pushes citizens into polarized echo chambers and pull at the social fabric of a country. Present technologies enhanced by current and upcoming Artificial Intelligence (AI) capabilities, could greatly exacerbate disinformation…

          Read More »
        • AI Perspectives Quantum Artificial Intelligence QAI

          Introducing Quantum Artificial Intelligence (QAI): The Future Intersection of Quantum Computing and AI

          Table of ContentsIntroductionExponential Growth in AI Computing RequirementsIntroduction to Quantum Artificial Intelligence (QAI)Why Quantum Computers Are Well-Suited for Manipulating Vectors and Matrices Required by AIRecent Key Quantum Artificial Intelligence (QAI) Research PapersQuantum Machine Learning AlgorithmsApplications of Quantum AIChallenges and Future DirectionsConclusion Introduction (This article was originally published in 2018. Updated in 2022 after the release of ChatGPT) While I like…

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        • AI Perspectives AI Cybersecurity

          AI: The Shifting Battlefield in the Cybersecurity Arms Race

          Cybersecurity strategies need to change in order to address the new issues that Machine Learning (ML) and Artificial Intelligence (AI) bring into the equation. Although those issues have not yet reached crisis stage, signs are clear that they will need to be addressed – and soon – if cyberattackers are to be prevented from obtaining a decided advantage in the…

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        • AI Perspectives AI Nirvana Distopia

          AI Is Neither the End of Civilization nor the Beginning of Nirvana

          Where AI, robots, IoT and the so-called Fourth Industrial Revolution are taking us, and how we should prepare for it are some of the hottest topics being discussed today. Perhaps the most striking thing about these discussions is how different people’s conclusions are. Some picture a utopia where machines do all work, where all people receive a universal basic income…

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