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Post-Quantum Cryptography: How Do We Protect the Internet?

Post-Quantum Cryptography: How Do We Protect the Internet?

ML-KEM, ML-DSA and SLH-DSA explained, how hybrid TLS already protects your browser, what changes for PKI, and a practical plan to start migrating now.

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The previous post ended on an uncomfortable fact: a large enough quantum computer would break RSA and elliptic-curve cryptography, the trust layer under HTTPS, VPNs, PKI and digital signatures. Recorded traffic is already at risk ("harvest now, decrypt later"), and migrations take years.

This post is the good news. The replacement already exists. In August 2024, after an eight-year public competition, the US National Institute of Standards and Technology (NIST) published the first three post-quantum cryptography standards: ML-KEM, ML-DSA and SLH-DSA. NIST is encouraging organisations to begin migrating now. And if you're reading this in a current browser, there's a good chance the connection to this page is already protected by one of them.

While writing this post, I ran a simple check from an ordinary Windows laptop with OpenSSL 3.5 against two of the largest sites on the Internet:

bash
echo | openssl s_client -connect www.google.com:443 -brief
text
Protocol version: TLSv1.3
Ciphersuite: TLS_AES_256_GCM_SHA384
Peer certificate: CN=www.google.com
Signature type: ecdsa_secp256r1_sha256
Verification: OK
Negotiated TLS1.3 group: X25519MLKEM768

That last line is post-quantum cryptography, live, by default. The line two above it (an elliptic-curve signature) is the part that hasn't moved yet. Between them, those two lines tell you exactly where the world is in this migration, and this post explains both.

Stage 09 of the learning path

This post opens stage 09, Post-Quantum Cryptography, of the Quantum Computing & Technology learning path. It assumes the threat explained in Why Quantum Computers Threaten Today's Encryption, and it connects directly to this site's PKI series, starting with the Intune PKI deep dive.

Post-quantum cryptography is not quantum cryptography

PQC runs on ordinary computers: your laptop, your phone, your server, your firewall. It's just new mathematics, chosen because it's believed to be hard for quantum computers as well as classical ones. Quantum key distribution (QKD), which uses quantum physics to share keys and needs special hardware, is a different thing, covered in stage 10.


The Migration at a Glance

A tree diagram. Quantum threat, Shor's algorithm on a future machine, makes RSA and ECC vulnerable for key exchange and signatures, which leads to PQC migration (inventory, prioritise, replace). The migration forks into three NIST standards: ML-KEM, FIPS 203, for key exchange; ML-DSA, FIPS 204, for signatures; and SLH-DSA, FIPS 205, for hash-based signatures. All three merge into quantum-resistant infrastructure, highlighted, covering TLS, VPN, PKI, code signing and identity
One threat, one migration, three standards. ML-KEM replaces key exchange; ML-DSA and SLH-DSA replace signatures.

Remember from the previous post that public-key cryptography does two jobs: agreeing keys (so data can be encrypted) and signing (so identities and software can be trusted). The three standards split along exactly those lines:

StandardNameBased onReplacesMain use
FIPS 203ML-KEM (from CRYSTALS-Kyber)Module latticesECDH, RSA key transportKey exchange in TLS, VPNs, messaging
FIPS 204ML-DSA (from CRYSTALS-Dilithium)Module latticesRSA and ECDSA signaturesCertificates, code signing, general signatures
FIPS 205SLH-DSA (from SPHINCS+)Hash functions onlyRSA and ECDSA signaturesConservative, long-lived signatures: roots, firmware

Symmetric encryption (AES) and hashes (SHA-2, SHA-3) stay. They only need larger sizes, as explained in the previous post.


What Makes an Algorithm "Post-Quantum"?

Shor's algorithm works because factoring and discrete logarithms have a hidden repeating structure (a period) that quantum interference can find. Post-quantum algorithms are built on problems with no such structure, where decades of research have found no efficient attack, classical or quantum.

FamilyHard problemExamplesTrade-off
Lattice-basedFinding short or closest vectors in a high-dimensional grid; learning with errorsML-KEM, ML-DSA, FN-DSA (Falcon)Fast, medium-sized keys; the main workhorse
Hash-basedBreaking a cryptographic hash functionSLH-DSA, LMS, XMSSVery conservative security; big or stateful signatures
Code-basedDecoding a random error-correcting codeHQC, Classic McElieceWell studied; large keys (McEliece) or newer (HQC)
Multivariate and isogenySolving polynomial systems; maps between curvesMostly not standardisedSome candidates broken during the competition

An intuition for lattices

The two main standards use lattices, so it's worth having a picture of them.

Imagine solving a set of simple equations, but every answer has had a small random error added to it. With exact answers, ordinary school algebra solves the system instantly. With small errors sprinkled in, and with hundreds of unknowns, the problem becomes extraordinarily hard: you can't tell which combination of small errors produced what you see. That's the learning with errors (LWE) problem, and ML-KEM and ML-DSA are built on a structured version of it.

Geometrically, it's like being given a point near a regular grid of points in hundreds of dimensions and asked which grid point is closest. In two dimensions you'd just look. In 768 dimensions, with a deliberately skewed grid, no known algorithm, classical or quantum, does much better than an exponential search.


ML-KEM (FIPS 203): The New Key Exchange

What a KEM does

Today, TLS uses Diffie-Hellman: both sides contribute a public value and compute the same secret. ML-KEM is a key encapsulation mechanism (KEM), which works slightly differently:

1. Key generation

The client creates a fresh ML-KEM key pair and sends the public encapsulation key.

2. Encapsulation

The server uses that public key to generate a random 32-byte shared secret, and "wraps" it into a ciphertext that only the matching private key can open. It sends the ciphertext back.

3. Decapsulation

The client uses its private key to unwrap the ciphertext and recovers the same 32-byte secret. Both sides now derive the session keys from it, exactly as before.

You can do all three steps yourself with OpenSSL 3.5 or later:

bash
# 1. Key generation (the client)
openssl genpkey -algorithm ML-KEM-768 -out kem.pem
openssl pkey -in kem.pem -pubout -out kem_pub.pem
 
# 2. Encapsulation (the server, using only the public key)
openssl pkeyutl -encap -pubin -inkey kem_pub.pem -out ciphertext.bin -secret server_secret.bin
 
# 3. Decapsulation (the client, using the private key)
openssl pkeyutl -decap -inkey kem.pem -in ciphertext.bin -secret client_secret.bin
 
cmp server_secret.bin client_secret.bin && echo "shared secrets match"

On the test machine, the ciphertext was 1,088 bytes, both secrets were 32 bytes, and they matched.

Parameter sets

Parameter setSecurity categoryRoughly comparable toPublic keyCiphertext
ML-KEM-5121AES-128800 bytes768 bytes
ML-KEM-7683AES-1921,184 bytes1,088 bytes
ML-KEM-10245AES-2561,568 bytes1,568 bytes

ML-KEM-768 is the general-purpose default, and it's the one used in today's hybrid TLS. Security-focused government profiles, such as the NSA's CNSA 2.0, specify ML-KEM-1024.

Is it fast?

Yes, and that surprises people. On the same laptop, OpenSSL's built-in benchmark gave:

OperationX25519 (classical)ML-KEM-768 (post-quantum)
Key generation per second37,64131,871
Encapsulations (key derivations) per second16,40456,886
Decapsulations per second33,29334,471

ML-KEM's cost isn't speed; it's size. An X25519 public share is 32 bytes; an ML-KEM-768 public key is 1,184. That's still small enough for almost every protocol, but it adds about a kilobyte in each direction to a handshake, which matters more than you'd think (see the hybrid section below).


ML-DSA (FIPS 204): The New General-Purpose Signature

ML-DSA is the default replacement for RSA and ECDSA signatures: in certificates, in TLS handshakes, in code signing, in documents and in tokens. It's also lattice-based, and its signing process involves a clever trick: it generates a candidate signature, checks whether that signature would leak anything about the private key, and if so throws it away and tries again ("rejection sampling"). That's why signing is a little slower and less predictable than verifying.

Parameter setSecurity categoryPublic keySignature
ML-DSA-4421,312 bytes2,420 bytes
ML-DSA-6531,952 bytes3,309 bytes
ML-DSA-8752,592 bytes4,627 bytes

Compare that with an ECDSA P-256 public key of 64 bytes and a signature of about 72. ML-DSA signatures are roughly 30 to 60 times bigger. You can see it with real certificates:

bash
openssl genpkey -algorithm ML-DSA-65 -out mldsa.pem
openssl req -x509 -new -key mldsa.pem -subj "/CN=pq-test.contoso.local" -days 365 -outform DER -out mldsa.der

Running this in Git Bash on Windows?

Git Bash rewrites arguments that start with / into Windows paths, so -subj "/CN=..." becomes C:/Program Files/Git/CN=... and OpenSSL rejects it. Prefix the command with MSYS_NO_PATHCONV=1, or run it from PowerShell or WSL.

On the test machine, an otherwise identical self-signed certificate came out at 408 bytes with ECDSA P-256, 805 bytes with RSA-2048, and 5,534 bytes with ML-DSA-65. The benchmark showed about 1,270 ML-DSA-65 signatures and 6,550 verifications per second, against 3,371 signatures per second for RSA-2048: fast enough for almost any use, with optimised implementations faster still.


SLH-DSA (FIPS 205): The Conservative Backup

SLH-DSA is a different kind of insurance. It's built entirely from hash functions, the most studied and trusted building blocks in cryptography. If you believe SHA-256 is secure, you can believe SLH-DSA is secure; it doesn't depend on lattices at all. That matters because lattice cryptography is younger, and nobody wants every signature in the world to rest on a single mathematical assumption.

The price is size and speed:

Parameter setPublic keySignatureSigning speed on the test laptop
SLH-DSA-SHA2-128s ("small")32 bytes7,856 bytesabout 3.5 signatures per second
SLH-DSA-SHA2-128f ("fast")32 bytes17,088 bytesmuch faster signing, bigger signatures

Three and a half signatures per second would be useless for a web server, but it's perfectly fine for things that are signed rarely and trusted for a long time: root CA certificates, firmware images, boot loaders and long-term archives. Verification is fast (about 3,400 per second), which is what devices do most often.

Stateful hash signatures: LMS and XMSS

There's an older family of hash-based signatures, LMS and XMSS, standardised by NIST in 2020 (SP 800-208). They give smaller signatures than SLH-DSA but are stateful: the signer must never reuse a one-time key, so it must track exactly how many signatures it has made. That's manageable inside a tightly controlled firmware-signing HSM, and the NSA's CNSA 2.0 suite requires them for firmware and software signing, but they're dangerous for general use, where a restored backup could cause key reuse.


Why Three Standards, and More Coming?

NIST deliberately didn't pick just one. Cryptographic history is full of algorithms that looked strong until someone found a clever attack, and the post-quantum competition itself had two dramatic examples. In 2022, SIKE, an isogeny-based finalist candidate, was broken by a classical attack that ran on a single laptop in about an hour. The same year, Rainbow, a multivariate signature finalist, was also broken. Neither involved a quantum computer.

That's why the plan relies on diversity:

  • ML-KEM and ML-DSA (lattices) for everyday use.
  • SLH-DSA (hashes) as a signature backup based on completely different maths.
  • FN-DSA (from Falcon), another lattice signature with smaller signatures but trickier implementation, is being standardised as FIPS 206.
  • HQC, a code-based KEM, was selected in March 2025 as a backup to ML-KEM, in case lattices ever turn out to be weaker than expected.

It's also why most deployments today use hybrid cryptography.


Bigger Keys, Real Consequences

A log-scale bar chart of bytes on the wire. Key exchange: X25519 classical 64 bytes, ML-KEM-768 2,272 bytes, X25519MLKEM768 hybrid 2,336 bytes. Signatures, as public key plus signature: ECDSA P-256 classical 137 bytes, RSA-2048 classical 512 bytes, ML-DSA-65 5,261 bytes, SLH-DSA-SHA2-128s 7,888 bytes, SLH-DSA-SHA2-128f 17,120 bytes. A note says sizes are raw key, ciphertext and signature bytes from FIPS 203, 204 and 205, and certificates and protocol framing add more
Post-quantum key exchange costs about 2 KB per handshake. Post-quantum signatures cost far more, and a certificate chain contains several of them.

Key exchange grows by about 2 KB per handshake, which almost every network handles easily. Signatures are the hard part, because a TLS handshake doesn't carry just one. A typical server sends a leaf certificate and an intermediate certificate (each containing a public key and a signature), then signs the handshake itself:

Server authentication dataECDSA P-256ML-DSA-65
Leaf certificate (as measured above)408 bytes5,534 bytes
Intermediate certificateabout 408 bytesabout 5,534 bytes
Handshake signature72 bytes3,309 bytes
Totalabout 0.9 KBabout 14.4 KB

Fourteen kilobytes doesn't sound like much, but many servers can only send about 14 KB before waiting for the client to acknowledge (TCP's initial congestion window). Real certificates also carry extensions and Certificate Transparency proofs. So moving the whole Web PKI to ML-DSA could add a network round trip to many connections, which is why signature migration on the public Web is moving more slowly and why researchers and the IETF are working on ideas such as certificate compression, smarter trust anchor negotiation and new certificate designs.

Inside an enterprise the trade-off is different: a Wi-Fi authentication or VPN handshake happens far less often than a web page load, and you control both ends.


Hybrid Cryptography: Belt and Braces

Post-quantum algorithms are new, and their implementations are newer. So instead of switching from classical to post-quantum in one step, most deployments today combine both:

A diagram of hybrid key exchange. X25519, a classical elliptic-curve exchange proven over years of use, and ML-KEM-768, a post-quantum lattice KEM that resists Shor's algorithm, both feed into a combine step that puts both secrets into one key derivation function in the TLS 1.3 key schedule, producing a session key that encrypts the connection and is safe if either part holds. A note says that openssl s_client against google.com and cloudflare.com reported negotiated TLS 1.3 group X25519MLKEM768
Hybrid key exchange runs a classical and a post-quantum exchange side by side and mixes both secrets. An attacker has to break both.

The logic is simple: if a future quantum computer breaks X25519, ML-KEM still protects the session. If someone finds a flaw in ML-KEM (or its implementation), X25519 still protects it. The connection is safe as long as either one holds.

Hybrid key exchange is already everywhere

  • Browsers: Chrome, Edge and Firefox negotiate X25519MLKEM768 by default, and Apple has added hybrid post-quantum TLS to its platforms.
  • Large websites and CDNs: Google, Cloudflare and other major providers support it, so a large share of all HTTPS traffic is already protected against harvest now, decrypt later.
  • Libraries and tools: OpenSSL 3.5 (April 2025) includes ML-KEM, ML-DSA and SLH-DSA, and offers the hybrid group by default, as the test above showed. OpenSSH uses a hybrid post-quantum key exchange by default.
  • Messaging: Signal (PQXDH) and Apple iMessage (PQ3) added post-quantum key agreement in 2023 and 2024.
  • Operating systems: Microsoft has added ML-KEM and ML-DSA to Windows' cryptography libraries, so applications can start using them.

There's one practical lesson from the rollout: when browsers first enabled hybrid key exchange, the larger first message (the TLS ClientHello) broke some old firewalls, proxies and load balancers that assumed it would fit in a single packet. If you run TLS-inspecting middleboxes, test them with post-quantum handshakes now.

You can check any server yourself:

bash
echo | openssl s_client -connect your-server.example.com:443 -groups X25519MLKEM768 -brief

If the output says Negotiated TLS1.3 group: X25519MLKEM768, that endpoint supports hybrid key exchange. If the connection fails, it doesn't, and it's a candidate for your migration list.

Hybrid signatures are less settled

For signatures, "hybrid" means attaching both a classical and a post-quantum signature, or using composite certificates whose key and signature combine both algorithms. The IETF is standardising composite ML-DSA for X.509, but the approach is still being debated, partly because it makes already-large certificates even larger. Expect a mix of composite, dual-chain and pure post-quantum designs while this settles.


What This Means for PKI

This is where the post-quantum migration meets this site's PKI series, and the companion post Quantum-Safe PKI: What Happens to Certificates in the Quantum Era? goes much deeper, with a working post-quantum CA lab. The key insight is that the migration has two very different speeds:

  • Key exchange migration mostly doesn't touch your PKI. Hybrid ML-KEM in TLS works with today's RSA and ECDSA certificates. It's a software upgrade to clients, servers and middleboxes, and it's the part that fixes harvest now, decrypt later.
  • Signature migration is a PKI project. New algorithms in certificates mean new CA keys, new hierarchies, new templates, and every relying party that checks a certificate (browsers, RADIUS servers, VPN gateways, applications, devices) must understand them.

For an enterprise PKI like the one built in the PKI implementation lab, the practical consequences are:

1. Plan a new hierarchy alongside the old one

You don't convert an RSA root into an ML-DSA root. You build a new post-quantum (or composite) root and issuing CAs in parallel, distribute the new root as a trusted anchor, and move issuance over gradually, the same pattern used in any CA migration. See Cloud PKI vs AD CS for how the two architectures differ.

2. Choose algorithms by lifetime

Long-lived roots are good candidates for the strongest options (ML-DSA-87, or SLH-DSA where its size is acceptable); issuing CAs and short-lived leaf certificates can use ML-DSA-65.

3. Check every relying party

A certificate is only useful if the thing checking it understands the algorithm. Inventory RADIUS/NPS, VPN gateways, web servers, load balancers, smart card readers and applications, and get each vendor's post-quantum roadmap.

4. Watch device key storage

Today's device certificates keep RSA keys in the TPM, which is what makes them hard to steal (see Hardware Security). Hardware support for post-quantum keys in TPMs, smart cards and HSMs is still arriving, so for a while there may be a trade-off between post-quantum algorithms and hardware-protected keys.

5. Check product support before you plan dates

Support for issuing post-quantum certificates in Microsoft AD CS, Microsoft Cloud PKI and Intune SCEP/PKCS profiles is developing; check current documentation rather than assuming. The certificate lifecycle post still applies: whichever algorithm you use, renewal, revocation and monitoring are what make the change safe.

Short certificate lifetimes are your friend

The public Web is moving to much shorter certificate lifetimes: the CA/Browser Forum has approved a reduction to 47 days by 2029. Short-lived certificates make algorithm changes far easier, because every certificate is replaced within weeks anyway. The same logic applies inside an enterprise: automated, short-lived device certificates (exactly what Intune SCEP gives you) are much easier to migrate than long-lived, manually installed ones.


Where PQC Lands in the Stack

SystemWhat changesWho mostly delivers itState today
Browsers and HTTPSHybrid ML-KEM key exchangeBrowser vendors, CDNs, web servers✅ Widely deployed
SSHHybrid post-quantum key exchangeOpenSSH and other SSH vendors✅ Default in OpenSSH
MessagingPost-quantum key agreementSignal, Apple and others✅ Deployed
VPN (IKEv2, TLS VPNs)ML-KEM in the handshakeVPN gateway and client vendorsRolling out; check your vendor
Internal TLS (apps, APIs, load balancers)Library upgrades and configurationYou, plus library and appliance vendorsDepends on your stack
Public Web PKI certificatesML-DSA or composite certificatesCAs and browser root programmes❌ Not yet
Enterprise PKI (AD CS, Cloud PKI)Post-quantum CAs and templatesMicrosoft and other PKI vendors, then youEarly; plan now
Code signing and firmwareML-DSA, SLH-DSA, LMS/XMSSOS and hardware vendors, your release pipelineBeginning
Identity tokens (SAML, OIDC, JWT)Post-quantum signature algorithmsIdentity providersEarly
Smart cards, TPMs, HSMsHardware support for new algorithmsHardware vendorsArriving gradually

The pattern is clear: much of the migration arrives through vendors. Your job is to know where cryptography is used, make sure updates can actually be deployed, and push vendors for roadmaps.


The Timelines

AuthorityWhat it says
NIST (US)Its proposed transition plan (IR 8547) deprecates quantum-vulnerable algorithms such as RSA-2048 and P-256 by 2030 and disallows them by 2035
NSA CNSA 2.0 (US national security systems)Post-quantum algorithms (ML-KEM-1024, ML-DSA-87, LMS/XMSS) phased in by category, with the transition to complete in the early 2030s
UK NCSCDiscovery and planning by 2028, priority migrations by 2031, full migration by 2035
European UnionA coordinated roadmap asks member states to start by the end of 2026, migrate high-risk systems by 2030, and complete as much as feasible by 2035

The details differ, but the message is the same everywhere: plan now, protect the highest-risk systems by about 2030, finish by about 2035. For a large organisation, nine years is not a long time.


A Practical Migration Plan

1. Discover: build a cryptographic inventory

List where public-key cryptography is used: TLS endpoints, VPNs, PKI and certificates, code signing, SSH, identity providers, HSMs, applications and vendor products. The certificate-store PowerShell in the previous post and the openssl s_client check above are good starting points; automated discovery tools help at scale. This inventory is often called a cryptographic bill of materials (CBOM).

2. Prioritise: use data lifetime and exposure

Rank systems by how long their data must stay secret (Mosca's x), how exposed they are to interception, and how long they'll take to change. Long-lived sensitive data crossing networks comes first.

3. Prepare: build crypto-agility

Make algorithms configurable instead of hard-coded, centralise certificate and key management, and automate renewal. Agility is the real deliverable: you may need to change algorithms again.

4. Turn on hybrid key exchange

Enable X25519MLKEM768 on servers, load balancers, reverse proxies and VPNs where supported, and test middleboxes. This is the fastest, highest-value step, and it fixes harvest now, decrypt later.

5. Migrate signatures and PKI

Design the post-quantum hierarchy, pilot ML-DSA certificates with relying parties you control, move code signing and firmware signing, and coordinate with vendors on the rest.

6. Verify and monitor

Keep checking: which handshakes negotiate post-quantum groups, which certificates still use RSA, which vendors have delivered. Track it like any other security programme.

Common mistakes

MistakeWhy it hurtsBetter approach
Waiting for a quantum computer to appearRecorded data is already exposed, and migration takes yearsStart with inventory and hybrid key exchange now
Treating it as a one-time algorithm swapAlgorithms may change again; HQC and FN-DSA are still comingBuild crypto-agility
Starting with certificatesSignature migration is the slowest, hardest partStart with key exchange, plan PKI in parallel
Forgetting middleboxesLarger handshakes break old inspection devicesTest firewalls, proxies and load balancers early
Rolling your own implementationSide-channel and implementation bugs are the real risk in new cryptographyUse well-maintained libraries and validated modules
Ignoring vendorsMost changes arrive through products you buyAsk for roadmaps and include PQC in procurement

Quick Recap

  • Post-quantum cryptography is new mathematics that runs on ordinary computers; it's not quantum hardware.
  • NIST published three standards in 2024: ML-KEM (FIPS 203) for key exchange, ML-DSA (FIPS 204) for signatures, and SLH-DSA (FIPS 205) for conservative hash-based signatures.
  • ML-KEM is as fast as today's key exchange, just bigger: about 2 KB per handshake.
  • Post-quantum signatures are much bigger: an ML-DSA-65 certificate measured 5,534 bytes against 408 for ECDSA, which is why signature migration is slower.
  • Hybrid key exchange (X25519MLKEM768) is already deployed in browsers and major websites, and protects against harvest now, decrypt later.
  • For PKI, plan a parallel post-quantum hierarchy, check every relying party, and watch hardware key storage and product support.
  • Timelines converge on about 2030 for high-risk systems and 2035 for everything.
  • Start now: inventory, prioritise, build crypto-agility, turn on hybrid key exchange, then migrate signatures.

What's Next on the Learning Path

Stage 10, Quantum Networking, turns from defending against quantum computers to using quantum physics itself: quantum key distribution, teleportation, entanglement distribution and the idea of a quantum internet, and how they compare with the post-quantum cryptography in this post. The full 11-stage path is listed at the end of the beginner's guide.

CChetan Yamger

Written by

Chetan Yamger

Cloud Engineer · AI Automation Architect · Modern Workplace Consultant

Cloud Engineer, AI Automation Architect, and Modern Workplace Consultant based in Amsterdam, Netherlands. Specializing in scalable, secure enterprise solutions with Microsoft Azure, Intune, PowerShell, and AI-driven automation using ChatGPT, Gemini, and modern LLM technologies.

Cloud & Modern WorkplaceMicrosoft Intune & MDMAzure & Microsoft 365AI AutomationPrompt EngineeringPowerShell & Graph APIWindows AutopilotConditional Access & Zero TrustSCCM / MECM & MSIXVDI / WVDPower BINode.js & Next.js
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