Cybersecurity
Implementing Post-Quantum Cryptography: The Engineer's Migration Guide
A technical guide for engineers on migrating systems to quantum-resistant cryptographic standards to defend against future threats.
The migration to Post-Quantum Cryptography (PQC) is a critical infrastructure upgrade for protecting long-term data from the threat of quantum computers. With the finalization of the first PQC standards by the U.S. National Institute of Standards and Technology (NIST) in 2024, the 'harvest now, decrypt later' attack vector is a clear and present danger, compelling organizations to act now to prevent future data breaches.
This research hub provides a practical roadmap for the PQC transition, focusing on the engineering challenges ahead. We will cover the published NIST standards—FIPS 203 (ML-KEM, based on CRYSTALS-Kyber) for key establishment and FIPS 204 (ML-DSA, based on CRYSTALS-Dilithium) for signatures—along with strategies for inventorying cryptographic assets, implementing hybrid modes, analyzing performance impacts, and updating protocols like TLS across the entire software and hardware stack.
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
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Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
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Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
AI
Figma's AI Agents Resolve Security Alerts 70% Faster
Figma built custom AI agents that help its security team investigate alerts and prepare code fixes. The agents learn from past incidents, reducing repetitive work and resolving complex security issues about 70% faster.
Neeraj Dhiman ·
Frequently asked questions
What is Post-Quantum Cryptography (PQC)?
Post-Quantum Cryptography refers to cryptographic algorithms, primarily for public-key encryption and digital signatures, that are secure against attacks by both classical and quantum computers. These new standards, such as those standardized by the U.S. National Institute of Standards and Technology (NIST), are based on mathematical problems believed to be intractable for even a large-scale quantum computer.
Why is migrating to PQC urgent in 2026 if large quantum computers don't exist yet?
The primary driver is the 'harvest now, decrypt later' attack, where adversaries store encrypted data today to decrypt once a powerful quantum computer is available. By 2026, this threat is compounded by government mandates and industry compliance requirements. For any data needing long-term security, the migration is essential now to preempt this future threat.
What is a 'hybrid approach' to PQC implementation?
A hybrid approach combines a classical cryptographic algorithm (like ECDH) with a PQC algorithm (like Kyber) to establish a key. This strategy provides a safety net, as the connection remains secure as long as at least one of the algorithms is not broken. It is a common transitional strategy to mitigate risks from potential undiscovered flaws in the new PQC algorithms while still providing quantum resistance.
What are the main engineering challenges in a PQC migration?
Key challenges include performance overhead, as PQC algorithms often have larger key and signature sizes that impact network latency, bandwidth, and storage. Another major hurdle is achieving 'crypto-agility'—the ability to easily swap out algorithms—which many legacy systems lack. Simply inventorying all instances of cryptography across an enterprise's entire software portfolio is a massive undertaking in itself.