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Marin Ivezic

Marin Ivezic In the early 2000s, running emerging-technology risk labs at CyberAgency, a defence client asked my team to break the AI systems they planned to put into weapons. We did. That is where my work on AI security started, two decades before the current wave of attention. I kept at it through risk labs at IBM, Accenture, PwC and KPMG. In 2016 I co-wrote a book on AI and leadership. My commercial work today is quantum, at Applied Quantum, which is why this site sells nothing.

Luka Ivezic

Luka Ivezic Luka Ivezic co-wrote The Future of Leadership in the Age of AI with Marin in 2016, and co-authored much of the early writing on this site. He is Practice Lead, Regulations & Emerging Technologies at the Information Security Forum, where he covers EU regulation and the security of AI, OT and IoT. He was previously a cybersecurity consultant at PwC and Deloitte. He holds a Master’s in International Conflict Studies from King’s College London, where his research examined the security implications of AI.

    AI Security Articles

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    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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