Quantum Computing Threats: A Guide for Cyber Security Auditors on Post-Quantum Cryptography

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Quantum computers run on qubits and quantum effects. They hold the potential to solve certain math problems much faster than classical machines. This makes many current public‑key schemes, like RSA and ECC, vulnerable.

Malicious actors might record encrypted traffic today, store it, and wait until quantum capabilities arrive to decrypt it. This “harvest now, decrypt later” approach threatens long‑lived or sensitive data.

You’ll learn how quantum attacks break classical encryption, what post‑quantum cryptography (PQC) offers, which standards NIST has picked (as of 2024), the challenges in migration, and what steps organisations, and cyber security auditors should take now.

The Quantum Threat

Quantum computers are not yet fully mature, but the threat is real. They promise to tackle certain problems in new ways which changes the security landscape for public‑key cryptography.

  • How quantum computers break RSA and ECC encryption

RSA and ECC rely on hard mathematical problems: factoring large numbers (RSA), or solving discrete logarithms on elliptic curves (ECC). A sufficiently capable quantum computer can solve these in feasible time, undermining the security.

  • Shor’s algorithm explained

Shor’s algorithm is a quantum algorithm that factors integers and solves discrete logs in polynomial time. In essence, it turns what is classically intractable into something efficiently solvable on a quantum machine rendering RSA/ECC useless against it.

  • When quantum computers become a real threat

Estimates vary, but many in the research community see a cryptographically relevant quantum computer emerging toward the late 2020s. Some national guidance (e.g. from Australia’s ACSC) already treats 2030 as a deadline to retire vulnerable cryptography.

If adversaries harvest encrypted traffic today and can decrypt it later, long‑term secrets (e.g. personal data, IP, health, financial records) become exposed. Systems that rely on digital signatures (software updates, certificate chains) also break. The impact spans confidentiality, integrity, authentication.

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What is Post‑Quantum Cryptography?

Post‑quantum cryptography is an emerging class of algorithms. It aims to resist attacks by both classical and quantum computers. It enables us to replace vulnerable schemes before quantum machines arrive.

PQC refers to public‑key encryption, key exchange, and signature schemes based on mathematical problems not easily solved by quantum algorithms. These include lattice problems, hash‑based schemes, code‑based, multivariate, etc.

Key difference from current cryptography is that PQC algorithms do not rely on factoring or discrete logarithms. They are designed from hardness assumptions believed to hold even in the quantum era. They tend to have larger keys, different performance trade‑offs, and require new implementations.

NIST’s standardization process and recent selections ran a multi‑year competition and review process to pick quantum‑resistant schemes. By 2024, it had selected a small number of algorithms for standardisation in encryption and signatures. These will serve as a foundation for future secure systems.

NIST’s Post‑Quantum Standards (2024)

NIST’s choices define what many organisations will adopt. Understanding them helps auditors assess how well migration is proceeding. Let’s look at the key algorithms.

  • CRYSTALS‑Kyber (now ML‑KEM) – for encryption

CRYSTALS‑Kyber, renamed ML-KEM, is selected for quantum‑resistant key encapsulation. It’s efficient among lattice‑based schemes and offers good performance in many environments.

  • CRYSTALS‑Dilithium (now ML‑DSA) – for digital signatures

CRYSTALS‑Dilithium is renamed ML‑DSA and is a lattice-based digital signature scheme. It balances signature size, verification cost, and robustness under current analysis.

  • SPHINCS+ (now SLH‑DSA) – for signatures

SPHINCS+, now SLH‑DSA, is a stateless hash‑based signature scheme. While slower, it offers strong assurances and diversity: it relies on different hardness assumptions than lattice schemes.

  • Why these algorithms are quantum‑resistant

They rely on hard problems like module‑lattice shortest vector problems (for Kyber and Dilithium) or cryptographic hash function chains (for SPHINCS+). To date, no efficient quantum algorithm is known to break them reliably, unlike Shor’s algorithm for factoring or discrete logs.

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Implementation Challenges

Moving to PQC is not trivial. There are many engineering and operational hurdles. Cyber security auditors must be aware of these when assessing readiness.

  • Larger key sizes and performance impacts

Many PQC schemes require larger public keys, signatures, and ciphertexts. This increases network bandwidth, storage, and computational overhead. Some devices (embedded, IoT) may struggle.

  • Crypto‑agility: designing systems that can switch algorithms

Crypto‑agility is the ability to replace cryptographic algorithms without rewriting whole systems. Architectures must allow switching from RSA/ECC to PQC or even hybrid modes smoothly.

  • Legacy system compatibility

Older systems might embed cryptographic libraries or firmware that cannot be changed easily. Compatibility issues arise when new PQC algorithms don’t fit constraints (memory, CPU, protocol).

  • Cost and timeline for migration

Transitioning involves planning, testing, training, procurement, and possibly hardware upgrades. Organisations must budget for implementation, staffing, and risk, and pace the migration carefully.

What Organizations Should Do Now

You can’t wait until quantum machines arrive. Early action matters. Let’s see a roadmap of steps.

  • Inventory current cryptographic systems

Cyber security auditors should lead in mapping where encryption is used: TLS, VPN, code signing, email, storage. Build a “cryptographic bill of materials.”

  • Start planning migration strategies

Develop a migration roadmap. Consider short‑, mid‑, and long‑term phases. Use risk prioritisation: move critical systems first.

  • Implement crypto‑agility

Architect systems so that underlying algorithms can be changed (plug in PQC later). Use hybrid approaches (mix PQC + existing) where feasible—though with caution.

  • Prioritize high‑value data

Classify data by sensitivity and retention period. Focus migration attention on assets whose confidentiality must last decades.

  • Test post‑quantum algorithms in non‑production

Run PQC implementations in test environments. Benchmark performance, compatibility, side channels, and integration issues. Use pilot programs before large rollout.

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Quantum computing threatens classical public‑key encryption. Post‑quantum cryptography offers resistant alternatives. NIST’s 2024 standards (ML-KEM, ML-DSA, SLH-DSA) provide a starting point. Migration brings challenges—performance, legacy compatibility, and architecture must adapt. Organisations must inventory, plan, test and build crypto‑agility now.

The arrival of cryptographically relevant quantum computers is uncertain in timing, but inevitable in effect. Delaying action only raises risk. The earlier an organisation begins, the smoother the shift. It gives space to test, fix and iterate.

If your organisation has not yet assessed its cryptographic posture, now is the time. A qualified party, such as a certified cyber security consultant in Australia, should assist in inventory, risk prioritisation and migration planning.

At Cybernetic Global Intelligence (CGI), our team including certified cyber security professionals is ready to support such transitions. Our services encompass vulnerability assessment, architecture review, and advisory support. Cyber security auditors or your cyber incident response team can lean on us to validate your post‑quantum strategy. Contact CGI today to begin your PQC readiness journey.

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