aiqbench analysis
This study highlights the dual-edged nature of AI in the post-quantum era, where it simultaneously accelerates threats to current encryption standards and offers tools for automating their replacement. The analysis urges treating AI development and quantum cryptography as an integrated cybersecurity challenge rather than separate domains.
Study: AI Could Speed Quantum Threats — And Help Build Defenses

Insider Brief Artificial intelligence could hasten quantum attacks on encryption while helping organizations prepare for them, according to a new analysis that calls for treating the technologies as a single cybersecurity challenge. The paper, published in the Journal of Quantum Information Science by Troy Coienth Troublefield, of Capitol Technology University, proposes that AI’s growing role […]
A new analysis argues that AI could accelerate quantum threats to encryption while helping organizations prepare their defenses. Data collected in encrypted form today could remain vulnerable to future quantum attacks, making information that needs years of protection a priority. Automated tools could help organizations find and replace vulnerable encryption, while quantum methods for detecting cyberattacks remain experimental. Artificial intelligence could hasten quantum attacks on encryption while helping organizations prepare for them, according to a new analysis that calls for treating the technologies as a single cybersecurity challenge. The paper, published in the Journal of Quantum Information Science by Troy Coienth Troublefield, of Capitol Technology University, proposes that AI’s growing role in quantum development…
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