post-quantum cryptography
PulseAugur coverage of post-quantum cryptography — every cluster mentioning post-quantum cryptography across labs, papers, and developer communities, ranked by signal.
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AI-driven cryptanalysis is outpacing NIST's post-quantum algorithm vetting
Recent evidence shows AI models like Anthropic's Mythos and other systems cracking NIST-tested and finalist algorithms. This suggests that the speed of AI-driven cryptanalysis may be outstripping the pace at which NIST can vet and standardize post-quantum cryptography (PQC) algorithms, potentially creating a window of vulnerability.
AI-assisted cryptanalysis will become a standard tool for PQC research and development
Given Claude AI's demonstrated role in advancing PQC research and other AI systems' ability to find crypto weaknesses, it's plausible that AI-assisted cryptanalysis will become a standard, indispensable tool for both researchers and developers in the PQC space. This could significantly accelerate the discovery of new vulnerabilities and the development of more robust PQC solutions.
Financial institutions will accelerate PQC adoption timelines due to AI-driven threats
With AI demonstrating the ability to crack PQC algorithms rapidly, financial institutions like those in Hong Kong, which are already beginning to prepare, may feel pressured to accelerate their adoption timelines for PQC. The emerging threat landscape, amplified by AI capabilities, could shift PQC from a long-term planning item to an urgent security imperative.
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Quantum computing poses threat to AI pipeline data security
The article discusses the vulnerability of current AI pipelines to future quantum attacks, particularly concerning data security and gradient inversion. It highlights that while distributed learning methods like Federat…
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Anthropic's Mythos AI finds crypto weaknesses in NIST-tested algorithms
Anthropic's AI model, Mythos, has identified previously unknown weaknesses in two cryptographic algorithms. While these findings do not compromise current security systems, they offer methods to reduce the effort requir…
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AI cracks NIST post-quantum cryptography finalist in 60 hours
An artificial intelligence system has successfully broken a NIST post-quantum cryptography finalist algorithm within a 60-hour timeframe. This breakthrough demonstrates the potential vulnerability of current cryptograph…
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AI poised to revolutionize cryptanalysis during post-quantum transition
AI is poised to significantly impact cryptanalysis, particularly during the current transition to post-quantum cryptography. Security expert Matthew Green suggests that AI could provide a much-needed boost in analyzing …
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Claude AI discovers new attacks against post-quantum cryptography and AES
Anthropic's Claude Mythos AI has identified new vulnerabilities in post-quantum cryptography and the Advanced Encryption Standard (AES). The AI discovered a novel attack against HAWK-256 and a significantly faster metho…
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Claude AI aids breakthrough in post-quantum cryptography research
A recent analysis explores how the AI model Claude has been instrumental in advancing post-quantum cryptography research. The study highlights Claude's capabilities in cryptanalysis, demonstrating its potential to accel…
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AI and Quantum Computing Escalate Cyber Risk for Businesses
The cyber landscape is rapidly evolving due to the emergence of agentic AI and the impending threat of quantum era decryption. Agentic AI enables autonomous, adaptive cyberattacks that can operate at machine speed, comp…
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Hong Kong banks begin quantum computing threat prep, HKMA says
Hong Kong's banking sector is in the early phases of preparing for the cybersecurity threats posed by quantum computing, according to the Hong Kong Monetary Authority (HKMA). A new readiness index shows the sector scori…
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Kimi K3 finds crypto bugs missed by Claude, GPT-5.6
A user reported that Kimi K3, an AI model, successfully identified five bugs in their post-quantum cryptography project that other advanced models like Fable, Opus 4.8, and GPT-5.6 Sol had missed. The user employed thes…
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LLMs flip answers with irrelevant context despite stable accuracy scores · 2 sources tracked
New research from Georgia Tech and Stanford University reveals that large language models can exhibit instability in their predictions. While overall accuracy scores may remain high, individual answers can change signif…
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Quantum machine learning probes post-quantum cryptography resilience
Researchers have explored the use of Quantum Generative Adversarial Networks (QGANs) to assess the resilience of post-quantum cryptography. The study demonstrates how QGANs can load the probability distribution of hash-…
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Post-quantum cryptography poses business risk, requiring early migration
Post-quantum cryptography (PQC) is a critical business continuity issue, not just a mathematical problem, as current encryption methods like RSA and elliptic curve cryptography are vulnerable to future quantum computers…
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AI provenance: Verifiable records needed for trusted AI actions
Mickai is advocating for audit-ready provenance for AI systems, emphasizing the need for verifiable records of AI actions and decisions. This approach aims to ensure that AI outputs, whether in drug development, legal c…
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Verifiable Records Crucial for AI Control and Accountability, Not Just Attestations
A series of posts from Mastodon user Mickai argues that true control and accountability in AI systems, particularly in public sector and defense contexts, rely on verifiable, sealed, and anchored records rather than mer…
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LLM-assisted PQC development faces new 'coding drift' risk, paper finds
A new paper from Dinithi Nadee Shakya Rathnaikage introduces "Secure Coding Drift in PQC," a model that describes how reliance on LLMs can degrade secure coding practices in post-quantum cryptography development. The re…
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New framework secures medical IoT with post-quantum AI
This research paper proposes a framework for securing Internet of Medical Things (IoMT) devices against quantum computing threats. It integrates Post-Quantum Cryptography (PQC) with federated learning (FL) and edge-nati…
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IPEVO's Vurbo.AI Translation Tool Launched Amidst G7 Cybersecurity Declaration
Tech Wind is now selling IPEVO's Vurbo.AI, a real-time AI translation tool designed to break down language barriers during international meetings and negotiations. Concurrently, the G7 Cybersecurity WG has issued a decl…
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AI-native closed-loop security proposed for 6G cyber-physical systems
A new survey paper proposes an AI-native, closed-loop security framework for 6G-enabled cyber-physical systems (CPSs). The proposed system aims to detect and mitigate threats at the network edge with millisecond-level p…
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Let's Encrypt prioritizes quantum-resistant certificate migration
Let's Encrypt has announced its strategy for migrating to post-quantum cryptography (PQC) to secure digital certificates against future quantum computing threats. The organization prioritizes the transition, outlining a…
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AI accelerates quantum, exascale, and neuromorphic computing advances
Emerging computing capabilities, including exascale supercomputing, quantum computing, and neuromorphic/photonic approaches, are poised to transform various sectors. These advancements, often accelerated by AI, promise …