Category: Artificial Intelligence
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AI-Driven Malware
Malware that leverages artificial intelligence (AI) marks a shift in cyber-threat methodology: rather than purely static payloads, these threats incorporate aspects of generative or adaptive AI (such as large language models) as part of their execution logic. While traditional malware evolution (polymorphism, obfuscation) has progressed incrementally over decades, the embedding of AI into malware reflects
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Vulnerabilities of Zero Trust Security: Critical Points and the Role of AI Agents
Zero Trust Security (ZTS) Zero Trust Security (ZTS) is a cybersecurity model in which no user, device, network location or system component is implicitly trusted. Instead, every access request to a resource must be verified continuously — based on identity, device posture, access context, and risk-signals. According to the National Institute of Standards and Technology
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Critical Vulnerabilities of Blockchain AI (B-AI)
The fusion of blockchain and artificial intelligence (AI) has opened new frontiers in technology. At its core, Blockchain AI can be defined as the convergence of two powerful technologies: a shared, immutable ledger that provides a transparent and tamper-resistant record of transactions, and AI systems that analyze data and make decisions based on complex machine-learning
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Blockchain and Artificial Intelligence: Differences and Synergies
Differences between Blockchain and AI Here are some of the core contrasts: Synergies between Blockchain and AI Here are the main ways the two technologies complement each other: Fusion: Blockchain AI (B-AI) The fusion of Artificial Intelligence (AI) and Blockchain technology can be characterized as follows: Conclusion The distinctions between blockchain and AI are significant
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Blockchain AI (B-AI)
Blockchain AI (B-AI) refers to the technological convergence in which artificial intelligence (AI) systems (including machine-learning, deep-learning, inference and autonomous decision‐making) are integrated with blockchain (or distributed ledger) infrastructures such that the resulting system leverages the decentralization, immutability, cryptographic integrity, transparency, and economic-incentive mechanisms of the blockchain to support one or more of the following: