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World desk5 min

AI Is Changing Cybersecurity, but Quantum Preparations Can’t Wait

AI security needs immediate attention, but quantum readiness is a separate long-term effort. Here’s why organizations should inventory cryptography and plan migration now.

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AI is adding new capabilities and risks to cybersecurity, but the available evidence does not show that it is “dominating” the field or quantify its impact against quantum risk. The two issues call for different work: secure the AI systems and services an organization uses, while beginning the inventory and planning needed to replace cryptography that a future quantum computer could break.

Does AI dominate cybersecurity?

“Dominating” is a framing claim, not a measured conclusion established by the sources available here. AI can help with defensive work such as vulnerability discovery, threat detection, and automation, but that does not make AI and quantum risk interchangeable—or establish which should take priority for every organization.

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AI can also introduce security concerns of its own. Joint guidance from CISA and other agencies focuses on protecting the confidentiality, integrity, and availability of externally developed AI systems, along with their data and connected services. It recommends addressing known vulnerabilities and putting controls in place to protect against, detect, and respond to malicious activity. Read CISA’s Joint Guidance on Deploying AI Systems Securely.

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AI’s potential security role is not only defensive: NIST’s post-quantum cryptography project page reports that an AI model found a vulnerability in HAWK, a candidate under consideration. HAWK’s development team then withdrew it. NIST says this does not affect its three finalized post-quantum cryptography standards, which use different mathematical foundations. HAWK was not one of those finalized standards. See NIST’s post-quantum cryptography project page.

Why start quantum preparation before a quantum computer arrives?

Post-quantum cryptography (PQC) means cryptographic algorithms based on mathematical techniques intended to resist attacks by quantum computers. It is not the same as quantum cryptography, which is based on quantum physics. NIST says its three PQC standards are finalized and ready to implement, and advises organizations to identify vulnerable algorithms and plan updates to products, services, and protocols. NIST explains post-quantum cryptography and the reason to prepare now.

The risk is long-lived data, not a known countdown

“Harvest now, decrypt later” describes an attacker collecting encrypted information today in the hope of decrypting it in the future. That possibility matters most when information must remain confidential for many years. It does not mean that current encryption has already been broken by a quantum computer. NIST says predictions for when a cryptographically relevant quantum computer might exist vary widely and that it cannot say exactly when—or even if—that will happen.

Cryptographic transitions take time

NIST says integrating a newly standardized algorithm into the products and services people use can take 10 to 20 years. That is NIST’s general estimate for integration, not a forecast that every organization’s migration will last that long. The interval helps explain why organizations should identify dependencies and plan ahead rather than wait for a confirmed arrival date. NIST mathematician Dustin Moody has urged organizations to “begin their transition to these standards immediately.” NIST’s explainer, updated February 27, 2026, provides the integration estimate and recommendation.

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AI security and quantum readiness are different workstreams

Question AI system security Quantum readiness
What is being addressed? Risks to the confidentiality, integrity, and availability of externally developed AI systems, their data, and related services. CISA guidance The future ability of quantum computers to break some cryptographic algorithms currently used in products, services, and protocols. NIST overview
What is in scope? AI systems an organization deploys, the data they use, and connected services. Cryptographic systems and assets across products, services, and protocols, including dependencies on vulnerable algorithms. NIST project page
What should come first? Apply relevant secure-deployment guidance to the systems in use, including vulnerability management and controls to protect, detect, and respond to malicious activity. CISA guidance Assign ownership, build a roadmap, inventory cryptographic assets, prioritize them, and engage vendors. Joint CISA, NSA, and NIST preparation guidance

These sources provide no universal ranking between the two efforts. An organization’s sequencing should reflect its AI deployments, cryptographic dependencies, and the sensitivity and required confidentiality lifespan of its information.

A practical quantum-readiness roadmap

Joint CISA, NSA, and NIST guidance recommends creating a quantum-readiness roadmap, engaging vendors, inventorying cryptographic systems and assets, and prioritizing sensitive and critical assets. These steps turn an uncertain future threat into manageable planning work. Read the joint agency guidance.

  1. Assign an owner and set a roadmap. Give a person or team responsibility for coordinating the transition across security, IT, procurement, and business owners. Record decisions, dependencies, and milestones.
  2. Inventory cryptographic systems and assets. Identify where cryptography protects information, identities, digital signatures, and key establishment. Record relevant products, services, protocols, vendors, and internal dependencies. This is a practical way to make the agencies’ inventory recommendation actionable; it is not a verbatim agency checklist.
  3. Prioritize by exposure and consequence. Focus first on sensitive or critical assets, considering how long their protected information needs to remain confidential. Data that would still be damaging if exposed years from now can warrant attention even when the quantum-computer timeline is unknown.
  4. Ask vendors about their PQC plans. Find out how affected products and services will support NIST’s finalized standards, how updates will be delivered, and what dependencies or compatibility constraints could affect migration.
  5. Plan and test changes across dependencies. Cryptography can span products, services, and protocols, so coordinate updates rather than treating each system as an isolated change. Test compatibility as migration proceeds.
  6. Run AI deployment security in parallel. For externally developed AI systems, apply the relevant guidance to the system, its connected data, and related services. This complements—not replaces—the cryptographic inventory and migration plan.
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What current standards and policy do—and do not—require

NIST’s three finalized PQC standards are ready to implement; its project page recommends identifying vulnerable algorithms and planning updates. The HAWK withdrawal is a separate development and, according to NIST, does not affect those finalized standards. NIST’s project page describes the standards and the HAWK update.

NIST IR 8547 is an initial public draft describing NIST’s expected approach to the transition. NIST published it on November 12, 2024, and its public-comment period closed January 10, 2025. It should be understood as a draft transition report, not a final universal deadline for private organizations. View NIST IR 8547.

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A June 2025 White House order sets federal actions that include making PQC products available, agency support for TLS 1.3 or a successor no later than January 2, 2030, and management of AI software vulnerabilities and compromises. Those provisions concern federal policy; the date is not automatically a deadline for every private organization. Read the June 2025 White House order.

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