{"id":24083,"date":"2026-10-08T16:49:03","date_gmt":"2026-10-08T08:49:03","guid":{"rendered":"https:\/\/www.sesdvt.com\/?p=24083"},"modified":"2026-10-08T17:25:22","modified_gmt":"2026-10-08T09:25:22","slug":"as-ai-computing-power-and-quantum-computing-converge-traditional-encryption-faces-the-risk-of-becoming-obsolete","status":"publish","type":"post","link":"https:\/\/www.sesdvt.com\/en\/as-ai-computing-power-and-quantum-computing-converge-traditional-encryption-faces-the-risk-of-becoming-obsolete\/","title":{"rendered":"Cybersecurity Crises in the Age of AI: How Can Enterprises Achieve \u201cData Assetization\u201d and \u201cZero-Trust Cold Storage\u201d in the Face of Quantum Computing Threats?"},"content":{"rendered":"
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\"\"When AI Computing Power Meets Quantum Computing, Traditional Encryption Faces a \u201cCrisis of Ineffectiveness\u201d<\/p>\n

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With the widespread adoption of large-scale artificial intelligence (AI) models and rapid breakthroughs in quantum computing technology, the global digital economy is undergoing an unprecedented transformation. Data is no longer merely a record of a company\u2019s day-to-day operations; it has emerged as the fifth factor of production, standing on equal footing with land, labor, and capital.<\/p>\n

However, this leap in computing power is a double-edged sword:
1. AI-Driven Automated Attacks and Defenses: Hacker groups are using AI tools to conduct real-time vulnerability discovery, automated penetration testing, and targeted social engineering attacks; traditional rule-based software firewalls are being easily bypassed.
2. \u201cHarvest Now, Decrypt Later\u201d: Hacker groups and hostile actors are intercepting and stockpiling large amounts of high-value encrypted data from businesses and governments. They are waiting for the day when quantum computers become operational\u2014at which point, mainstream asymmetric encryption algorithms such as RSA and ECC will be cracked in a matter of seconds.
Faced with the dual trends of \u201ccomputing power-driven attacks\u201d and \u201cthe monetization of data,\u201d how should enterprises and high-net-worth individuals rebuild their data security strategies? The answer lies in shifting the security perimeter from the \u201cnetwork perimeter\u201d to **\u201cunderlying chips and data sovereignty\u201d\u2014that is, adopting Digital Vault Technology (DVT)**.<\/p>\n

I. Why Can\u2019t Traditional Cloud and Software Encryption Meet the Challenges of the Post-Quantum Era?<\/h5>\n

Many business executives believe that data is secure enough as long as it is encrypted using AES-256 and stored in the public cloud or on private servers. However, in the future landscape of technology, this perception raises three major concerns:<\/p>\n

1. The Risk of \u201cOutdated Algorithms\u201d in Software-Level Encryption<\/strong><\/p>\n

Currently, the vast majority of public cloud platforms use encryption protocols that do not incorporate **post-quantum cryptography (PQC)** architecture. Once a commercial breakthrough in quantum computing is achieved, all historically encrypted files stored in the cloud will be as vulnerable as if they were \u201cexposed.\u201d<\/p>\n

2. \u201cLoss of Data Sovereignty\u201d in a Multitenant Architecture\u201d<\/strong><\/p>\n

In a public cloud environment, control over data and keys typically rests with the platform provider. When faced with regulatory requests, third-party data scraping, or unauthorized access by internal employees, enterprises cannot achieve absolute control over their data (Data Sovereignty) as defined by the 100% framework.<\/p>\n

3. Misappropriation and Tampering of AI Model Training Data<\/strong><\/p>\n

For AI R&D and technology companies, core training datasets and model parameters are the lifeblood of their business. If data is illegally stolen or compromised by adversarial attacks during storage or transmission, the company\u2019s core technological assets will instantly lose their value.<\/p>\n

II. From \u201cCost Center\u201d to \u201cAsset Center\u201d: Assetization of Data and Compliance-Based Rights Clarification<\/h5>\n

As major economies around the world have successively introduced policies on data ownership and the recognition of data as assets on balance sheets, corporate data security is no longer merely a \u201cprotection cost\u201d for IT departments, but rather a \u201cvalue center\u201d that directly impacts the CFO\u2019s balance sheet and corporate valuation.<\/p>\n

To be considered a legitimate, compliant, tradable, and balance-sheet-eligible digital asset, the data must meet three key criteria:<\/p>\n