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Freedom251 › Blog › Artificial Intelligence

Can AI Crack Encryption? What Quantum Risk Means for Ordinary Users

By Freedom251 Team · · 8 min read

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Short answer: There is no official evidence that AI has broadly defeated sound, modern encryption. AI can help analyze code, find implementation weaknesses and automate cryptanalysis, but that is different from efficiently breaking a well-designed algorithm. The more clearly established long-term risk comes from sufficiently powerful quantum computers, which could attack some public-key cryptography. Current quantum machines are too small and unstable to do that, and nobody knows when a cryptographically relevant machine will exist. Your best protection is practical: keep operating systems, browsers, apps and devices updated, use supported services, and ask providers how they plan to adopt post-quantum cryptography.

What “cracking encryption” actually means

Encryption converts readable information into ciphertext that should be unusable without the correct key. “Cracking” can mean several different things, and separating them prevents exaggerated headlines from becoming bad security advice.

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  • Breaking the mathematics: finding a way to recover plaintext or a key without the intended secret.
  • Stealing a key: obtaining passwords, recovery codes or private keys through phishing, malware or a breach.
  • Exploiting an implementation: taking advantage of a software bug, weak random-number generation or a protocol mistake.
  • Attacking the endpoint: reading data before it is encrypted or after it is decrypted on a phone, computer or server.

AI may assist with code review, vulnerability discovery, password guessing and automation across all of those areas. None of those capabilities demonstrates that an AI system can efficiently defeat a sound, modern encryption algorithm used correctly. The official material from the National Institute of Standards and Technology (NIST) focuses on quantum computing and does not establish a general AI ability to break mainstream deployed encryption.

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What AI can do today—and what has not been shown

AI can accelerate analysis

Machine-learning systems can search large codebases, identify suspicious patterns, generate test cases and help researchers explore mathematical structures. An attacker can also use automation to scale phishing, credential theft or attempts against poorly protected accounts. Those are serious risks, but they target people, software and operations rather than proving that the underlying cipher is broken.

A 2026 example is not a break of deployed standards

On July 28, 2026, Anthropic announced a model-assisted discovery of a vulnerability in HAWK, a lattice-based digital-signature algorithm that was being considered for standardization. HAWK’s developers withdrew it. NIST said the finding did not affect its finalized post-quantum standards, including ML-KEM and ML-DSA. This episode shows that AI-assisted analysis can influence the evaluation of a candidate algorithm; it is not evidence that AI has cracked the mainstream encryption protecting ordinary web traffic.

Practical implication

Do not replace a trusted encryption product with an untested “AI-proof” tool, and do not assume a marketing claim about artificial intelligence is a cryptographic result. The important questions are whether a protocol has been publicly analyzed, whether its implementation is maintained, and whether the vendor delivers security updates.

Can quantum computers break encryption?

A sufficiently powerful, fault-tolerant quantum computer could threaten some public-key cryptography, especially systems whose security depends on the difficulty of factoring very large numbers. Public-key methods are used for tasks such as establishing keys and authenticating connections. This is a possible future capability, not a description of what current machines can do.

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Andrew Regenscheid of NIST said current quantum computers are “much too small and unstable to threaten cryptography.” NIST also says the date of a cryptographically relevant quantum computer is unknown and that major engineering obstacles remain. There is no evidence-based countdown to a particular year, so claims that all encryption will fail soon are unjustified.

The risk is not uniform across every cryptographic system. NIST’s warnings concern particular public-key constructions; they do not mean that every encrypted file, password or web session is already readable. A future transition will involve selecting algorithms, updating protocols and replacing certificates and software components, rather than switching off encryption altogether.

Why “harvest now, decrypt later” matters

“Harvest now, decrypt later” describes an information-lifecycle threat. An adversary can copy encrypted traffic or stored files today, retain the ciphertext and attempt decryption in the future if better computing capabilities become available.

This matters most when confidentiality must last for many years: medical records, legal files, industrial designs, government information, private messages and long-term business plans. It does not prove that a particular captured session will be decrypted, nor does it make every routine connection equally valuable. The sensible response for organizations holding long-lived secrets is to begin migration planning before a quantum computer exists.

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For an individual, the main decision is whether a service provider is keeping its software and protocols current. You generally cannot retrofit a provider’s cryptographic handshake yourself, so selecting maintained services and installing updates is more useful than trying to manipulate algorithm settings.

Where post-quantum cryptography stands

Finalized standards

NIST released its first three finalized post-quantum cryptography standards in 2024 and describes them as ready for implementation. The program’s finalized standards include ML-KEM for general encryption and ML-DSA for digital signatures. These standards are intended for software makers, cloud operators, device manufacturers and network administrators to build into products and services.

ML-KEM, ML-DSA and the HQC update

In a March 11, 2025 update, NIST said ML-KEM remained its recommended choice for general encryption and selected HQC as a backup based on different mathematics. At that time, NIST expected a draft HQC standard in roughly a year and a finalized standard in 2027. That dated announcement should not be read as proof that HQC was already finalized; its current status should be checked on NIST’s live post-quantum cryptography program pages.

Why users do not install a “PQC app”

Post-quantum cryptography (PQC) is normally delivered through the products you already use: operating-system libraries, browsers, messaging systems, cloud services, VPN protocols, certificate infrastructure and hardware firmware. A consumer should not download an unvetted replacement cipher or manually edit security settings based on a label. Migration requires compatible changes on both ends of a connection, and vendors are responsible for testing and distributing them.

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What ordinary users should do now

1. Turn on automatic updates

  1. Open your device’s system settings and enable automatic operating-system updates.
  2. Enable automatic updates for browsers, password managers, messaging apps and other software that handles sensitive information.
  3. Restart when the device requests it so security fixes and cryptographic library changes become active.

NIST cryptographic expert Andrew Regenscheid put the priority plainly: “The most effective thing you can do as a user is to ensure that your systems are updated.”

2. Replace unsupported devices and software

A device that no longer receives security patches cannot reliably benefit from a vendor’s PQC migration. Check the manufacturer’s support date, remove abandoned applications and move sensitive work to products that still receive updates. This is a general security requirement as well as a preparation step for future cryptographic changes.

3. Ask service providers specific questions

When choosing a cloud-storage, communications or business service, ask whether the provider has a post-quantum migration plan, which protocols it expects to update and how it will notify customers about compatibility changes. A provider may be testing hybrid or post-quantum methods without exposing a user-facing switch. Prefer clear maintenance commitments over vague “quantum secure” language.

4. Protect keys and accounts

Quantum readiness does not help if an attacker can simply steal your existing credentials. Use unique passwords, a reputable password manager, multi-factor authentication and timely recovery-code updates. These controls address present-day account takeover, which is separate from a future mathematical attack on public-key cryptography.

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5. Keep long-lived sensitive data in view

If you personally or professionally hold information that must remain confidential for decades, ask the organization responsible for storing or transmitting it how it is planning for PQC. Do not assume that an encrypted archive created today will automatically be re-encrypted in the future; retention and migration policies matter.

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What not to buy or change

The NIST material identifies no specific physical gadget, consumer VPN, encrypted-drive accessory or “quantum protection” device as a required fix. A security key, encrypted drive or VPN can be useful for other reasons, but none should be presented as a direct post-quantum remedy on this evidence.

  • Do not pay for a product solely because it uses the word “quantum” in its name.
  • Do not install homemade cryptography or disable standard protections to force an advertised algorithm.
  • Do not wait for a quantum computer before applying ordinary security updates.
  • Do not treat an AI-generated security explanation as independent validation of a cryptographic claim.

User actions versus vendor responsibilities

Area What you can do What the provider must do
Updates Enable automatic operating-system, browser and app updates; restart promptly. Develop, test and distribute patched cryptographic libraries and protocols.
Device support Use hardware and software that still receive security updates. Maintain supported versions and publish end-of-support dates.
PQC migration Ask services about their post-quantum roadmap and compatibility notices. Implement suitable standards such as ML-KEM or ML-DSA where appropriate.
Account security Use unique passwords, multi-factor authentication and secure recovery methods. Offer secure authentication, key management and incident notifications.
Long-term confidentiality Identify records that must stay secret for many years and ask custodians about migration. Plan re-encryption, certificate replacement and retention controls.

How to judge a frightening headline

  1. Identify the target: Is the report about an algorithm, a vulnerable implementation, a stolen key or a candidate standard?
  2. Check the capability: Does it describe a working attack against deployed systems, or only a laboratory result, proof of concept or theoretical speedup?
  3. Check the scope: Does the claim affect public-key encryption, digital signatures, passwords, symmetric encryption or only one product?
  4. Check the authority and date: Standards and status can change. NIST’s 2024 standards announcement and its March 2025 HQC update describe different stages of the program.
  5. Look for a user action: In most cases, the evidence-based action is updating software and asking providers about migration—not buying a special device.

How long will the transition take?

NIST’s explainer says an algorithm-standardization process can take 10 to 20 years. That figure describes the work of evaluating and deploying standards; it is not a forecast for when a quantum computer will break encryption. Replacing algorithms across browsers, operating systems, certificates, hardware, archives and embedded devices takes coordination, testing and staged rollout.

Because the arrival date of a cryptographically relevant quantum computer is unknown, preparation is best understood as maintenance and inventory work. Keep systems supported, document where sensitive data is stored and favor providers that communicate a credible migration plan.

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Bottom line for a household

AI is already useful to attackers and defenders, but the available official evidence does not show it broadly cracking sound modern encryption. Current quantum computers are not capable of breaking cryptography either. The credible concern is future: a sufficiently powerful quantum computer could undermine some public-key systems, while encrypted data collected today might be retained for later decryption.

You do not need a quantum-branded gadget. Enable automatic updates, replace unsupported software and devices, protect accounts, and ask the services you rely on whether they are preparing for post-quantum standards. Those steps reduce today’s risks and improve your position as vendors roll out the next generation of cryptography.

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Artificial Intelligencecybersecurityencryptionpost-quantum cryptographyPrivacyQuantum Computing

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