How Quantum Computing Will Disrupt Data Encryption and Compliance with Data Protection Laws
- christopherstevens3
- Feb 11
- 5 min read

Introduction
Quantum computing is set to revolutionize industries by solving complex problems
exponentially faster than classical computers. While this presents numerous opportunities for innovation, it also introduces profound security risks—especially for encryption, which forms the backbone of modern cybersecurity.
Currently, encryption protects everything from financial transactions to personal
healthcare data, ensuring confidentiality, integrity, and compliance with data protection
laws and regulations like the European Union General Data Protection Regulation (EU GDPR) and the California Consumer Privacy Act (CCPA) as amended by the California Privacy Rights Act.
However, the emergence of quantum computers threatens to render existing encryption
methods obsolete, exposing organizations to potential breaches and compliance failures.
This article explores how quantum computing threatens traditional encryption, the
compliance challenges it introduces, and the steps businesses should take to ensure
personal information remains protected in the emerging quantum computing era.
The Quantum Threat to Current Encryption Standards
How Encryption Works Today: Encryption secures data by converting it into unreadable
ciphertext using mathematical functions that are computationally infeasible to reverse
without a decryption key. The most used encryption methods include:
Asymmetric Encryption (Public Key Cryptography):
RSA (Rivest-Shamir-Adleman): A widely used public-key cryptographic system that secures data transmission using the difficulty of factoring large prime numbers. Used in digital signatures, TLS/SSL certificates, and secure email communications. However, RSA is vulnerable to quantum attacks due to Shor’s Algorithm.
ECC (Elliptic Curve Cryptography): A more efficient alternative to RSA, ECC provides the same level of security with smaller key sizes, making it faster and less resource intensive. Commonly used in secure messaging, blockchain technology, and TLS encryption. ECC is also susceptible to quantum attacks but remains more secure than RSA at smaller key sizes.
Diffie-Hellman Key Exchange: A method for securely exchanging cryptographic keys over an insecure channel. Used in protocols like HTTPS, VPNs, and SSH for secure communications. The Elliptic Curve Diffie-Hellman (ECDH) variant is widely adopted due to better security and efficiency.
Symmetric Encryption:
AES (Advanced Encryption Standard): A block cipher encryption standard used worldwide for securing data at rest and in transit. Supports key sizes of 128-bit, 192-bit, and 256-bit, with 256-bit considered the most secure. Widely implemented in government, financial services, and cloud storage encryption.
ChaCha20: A modern alternative to AES, particularly useful where AES hardware acceleration is unavailable. A stream cipher known for speed, efficiency, and resistance against side-channel attacks. Used in TLS (Google’s QUIC protocol) and secure messaging apps like Signal.
Asymmetric encryption is widely used for securing data in transit, such as in SSL/TLS
protocols for securing websites and email communication. It relies on the difficulty of
factoring large numbers (RSA) or solving discrete logarithm problems (ECC), which take classical computers thousands of years to break.
Why Quantum Computing Poses a Threat: Quantum computers, unlike classical
computers that process bits (0s and 1s), use qubits that leverage superposition and
entanglement to perform parallel computations. This enables them to solve mathematical
problems that are currently considered intractable.
Shor’s Algorithm: A quantum algorithm that can efficiently factor large numbers, effectively breaking RSA, ECC, and other public-key encryption systems.
Grover’s Algorithm: Reduces the brute-force attack time on symmetric encryption (like AES) from 2ⁿ operations to roughly 2^(n/2), significantly weakening the security of existing cryptographic keys.
Note: Shor's Algorithm and Grover's Algorithm are not in practical use today, but they remain highly relevant in theoretical and experimental quantum computing research:
Implications for Encrypted Data: Several implications exist today for encrypted data:
Data at Risk Today: Even if quantum computers are not yet widely available, adversaries may collect encrypted data today to decrypt it in the future—a threat known as "Harvest Now, Decrypt Later."
Shortened Key Lifespans: Encryption key lengths once deemed secure may need to be extended significantly to remain quantum resistant.
Potential for Widespread Decryption: Once quantum computers become powerful enough, any encrypted data relying on current public-key cryptography will be vulnerable.
Compliance Challenges with Global Data Protection Laws: Many global data protection
laws and regulations require businesses to implement robust security measures to ensure
data confidentiality, integrity, and availability. The advent of quantum computing raises
several legal and compliance concerns:
Adequacy of Encryption Measures:
The EU GDPR (Article 32) requires organizations to implement appropriate technical and organizational measures to ensure a level of security appropriate to the risk, including encryption of personal data and the ability to ensure ongoing confidentiality, integrity, availability, and resilience. With quantum computing threatening encryption, organizations must transition to quantum-resistant cryptographic solutions to maintain compliance.
Similarly, CCPA (1798.150(a)) states that businesses must implement and maintain reasonable security procedures and practices to protect consumer data. If a business fails to use encryption or adequate safeguards and a breach occurs, it could face statutory damages.
Data Breach Notification Requirements: Many global data protection laws and regulations mandate breach notification if personal data is compromised.
EU GDPR (Articles 33 & 34): Organizations must notify the relevant supervisory authority within 72 hours of becoming aware of a data breach if it poses a risk to the rights and freedoms of individuals. If the breach is likely to result in a high risk, affected individuals must also be notified without undue delay.
CCPA Private Right of Action: Under CCPA as amended by the CPRA, consumers have a limited private right of action if their unencrypted and unredacted personally identifiable information (PII) is exposed due to a data breach caused by a business’s failure to implement reasonable security measures. They can seek statutory damages between $100 and $750 per consumer per incident, or actual damages.
Long-Term Data Confidentiality: Some industries, such as healthcare and finance, have
extended data retention requirements for storing sensitive personal data or information.
EU GDPR (Article 5) requires that personal data be processed in a manner that ensures appropriate security, including protection against unauthorized or unlawful processing and against accidental loss, destruction, or damage, using appropriate technical or organizational measures. This implies that organizations must anticipate future risks, including those posed by quantum computing, and take preventive actions to maintain compliance.
Medical records, legal contracts, and government documents may become vulnerable to future quantum attacks. Businesses must assess whether their long-term data retention policies will remain compliant as quantum technology advances.
Conclusion: Quantum computing presents both unprecedented opportunities and critical
challenges for data security. Organizations must proactively address encryption
vulnerabilities and ensure regulatory compliance in a post-quantum world. Transitioning to
post-quantum cryptography, conducting risk assessments, and adopting hybrid
cryptographic solutions will be essential steps in mitigating quantum threats.
Key Questions for Businesses:
How is our organization assessing the impact of quantum computing on our encryption methods and data security?
What steps are we taking to transition to quantum-resistant encryption algorithms?
How are we ensuring ongoing compliance with evolving data protection regulations?
Sources:
Bernstein, Daniel J. "ChaCha, a Variant of Salsa20," 2008.
California Consumer Privacy Act (CCPA), California Civil Code § 1798.150(a).
Diffie, W., & Hellman, M. "New Directions in Cryptography," IEEE Transactions on Information Theory, 1976.
European Union, "EU General Data Protection Regulation (GDPR)," Articles 5, 32, 33, and 34.
Grover, Lov K. "A Fast Quantum Mechanical Algorithm for Database Search," Proceedings of the 28th Annual ACM Symposium on Theory of Computing, 1996.
National Institute of Standards and Technology (NIST), "Post-Quantum Cryptography Standardization Project."
Rivest, R.L., Shamir, A., & Adleman, L. "A Method for Obtaining Digital Signatures and Public-Key Cryptosystems," Communications of the ACM, 1978.
Shor, Peter W. "Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer," SIAM Journal on Computing, 1997.
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