Most organizations preparing for post-quantum cryptography start by asking which algorithm to adopt. A more practical question comes first: where does your cryptography actually live?

Cryptography is rarely confined to a system an IT team can point to. It can be embedded in application code, TLS configurations on web servers, API integrations, digital certificates, open-source libraries, third-party software, cloud services, and legacy systems.

Some implementations may have been introduced years ago by teams that no longer maintain them. Others may be managed by vendors or embedded in infrastructure that has never been reviewed as part of a broader cryptographic strategy.

Before an organization can migrate these systems toward quantum-resistant approaches, it needs to identify what exists. That makes cryptographic discovery a practical starting point for post-quantum cryptography migration.

What Is Post-Quantum Cryptography Migration?

Post-quantum cryptography migration is the process of transitioning from cryptographic systems that could eventually be vulnerable to sufficiently capable quantum computers toward algorithms designed to resist quantum attacks.

It is not a single technology replacement. A migration can involve discovery, inventory, assessment, prioritization, planning, testing, implementation, and ongoing crypto-agility.

For example, replacing a cryptographic algorithm may also require changes to certificates, applications, APIs, protocols, hardware security modules, authentication systems, or vendor integrations. Applications with hard-coded cryptographic calls may require code changes, while legacy systems may need a longer remediation path.

Without knowing where those dependencies exist, it is difficult to estimate the scope of a migration accurately.

Why Cryptographic Discovery Comes Before PQC Migration

An organization cannot reliably determine what to migrate, in what order, or with what level of effort if it is working from assumptions or incomplete documentation.

A PQC migration plan depends on understanding:

Consider an enterprise that believes most of its public-key cryptography exists within a few major applications. During implementation, it discovers that internal APIs, certificate infrastructure, legacy batch systems, and third-party integrations also depend on the same cryptographic technologies.

Those gaps can lead to additional testing, unexpected dependencies, expanded migration scope, and changes to the original timeline.

Discovery helps reduce those unknowns before migration decisions are made.

What Is Cryptographic Discovery?

Cryptographic discovery is the process of identifying where and how cryptography is used across an organization’s technology environment.

It helps answer practical questions:

Discovery will not necessarily answer every question perfectly during the first assessment, particularly in large or distributed environments. Its purpose is to establish a reliable starting point for inventory, assessment, prioritization, and migration planning.

Where Can Cryptography Be Found?

Cryptography can exist across many layers of an enterprise because it is often embedded inside other technologies rather than deployed as one visible system.

Applications and Source Code

Custom applications may contain cryptographic function calls, libraries, algorithms, or hard-coded parameters. Some implementations may not be visible through application documentation alone.

Source-code analysis can help identify cryptographic dependencies that would otherwise remain difficult to map.

Web Servers and APIs

Public-facing web services rely on TLS configurations, certificates, key exchange mechanisms, and related cryptographic settings. APIs may also use signing or encryption mechanisms beyond the underlying transport layer.

These configurations can change over time, which makes current discovery more useful than relying solely on historical documentation.

Networks and Communications

VPNs, internal communications, system-to-system connections, and other network services may depend on different cryptographic protocols.

Legacy network equipment can make this particularly difficult because configurations may have accumulated over many years across different teams and environments.

Digital Certificates and PKI

Digital certificates contain information about algorithms, key types, trust relationships, and validity periods. Large organizations may have certificates managed by multiple teams or automated processes.

A useful discovery effort therefore needs to consider more than the number of certificates in an environment. It should also establish how certificates, algorithms, trust chains, and dependent systems relate to one another.

Cloud Infrastructure

Cloud environments can introduce cryptography through managed services, encryption configurations, key-management systems, and application dependencies.

Multi-cloud environments can make discovery more complex because different platforms may expose cryptographic information through different management tools and configurations.

Legacy Systems

Older systems can be among the hardest assets to assess. They may contain cryptographic implementations that were established long before current security teams took responsibility for them.

The technical difficulty is often compounded when documentation is incomplete or the original vendor or development team is no longer involved.

Third-Party Software and Dependencies

Open-source libraries, commercial software, SaaS platforms, and vendor products can introduce cryptographic dependencies that an organization did not develop itself.

A widely used library can also create dependencies across many applications, making it important to understand where that component is used before planning a migration.

Cryptographic Discovery vs. Cryptographic Inventory

Cryptographic discovery and cryptographic inventory are closely related, but they serve different purposes.

Discovery is the process of finding cryptographic assets and identifying how cryptography is being used.

Inventory is the structured, maintained record of what has been discovered.

A cryptographic inventory can document information such as algorithms, key sizes, protocols, certificates, libraries, applications, dependencies, and other relevant business or technical context.

A Cryptography Bill of Materials (CBOM) can also be used to represent cryptographic components and dependencies in a structured format.

Discovery feeds the inventory. The inventory then provides a foundation for assessment, prioritization, migration planning, and ongoing monitoring.

A one-time discovery exercise creates a snapshot. A maintained inventory becomes a reference that can evolve as applications, infrastructure, certificates, and dependencies change.

Why Cryptographic Inventory Is Difficult for Enterprises

Large organizations rarely have a single authoritative record of every cryptographic asset.

Technology environments develop over years and often include:

Manual inventories created through spreadsheets, interviews, and existing documentation can provide useful information. The challenge is keeping them current as the environment changes.

This is why repeatable discovery methods can be valuable. They allow organizations to revisit their cryptographic environment instead of treating inventory as a one-time documentation exercise.

From Cryptographic Discovery to PQC Migration

A practical migration program can follow a structured sequence.

1. Discover

Identify where cryptography is used across applications, source code, networks, web services, certificates, and infrastructure.

2. Inventory

Document the cryptographic assets and dependencies that discovery identifies. A CBOM can provide a structured representation of cryptographic components and relationships.

3. Assess

Evaluate the cryptographic exposure, dependencies, business context, and migration complexity associated with each asset.

Some systems may require a configuration change. Others may require application updates, vendor coordination, hardware changes, or architectural work.

4. Prioritize

Determine which systems should receive attention first.

Factors can include:

5. Plan

Develop a phased roadmap that accounts for testing, interoperability, vendor readiness, application dependencies, and operational continuity.

6. Migrate

Transition prioritized systems toward appropriate quantum-resistant approaches, including applicable NIST-standardized algorithms.

Migration should be validated through testing rather than treated as a simple algorithm replacement.

7. Maintain Crypto-Agility

Crypto-agility is the ability to identify, test, replace, and govern cryptographic algorithms, keys, certificates, protocols, and libraries as requirements change.

For organizations preparing for post-quantum encryption, crypto-agility can reduce the difficulty of future cryptographic transitions.

What Role Does NIST PQC Play?

NIST has established the main U.S. standards framework for post-quantum cryptography.

In August 2024, NIST finalized three PQC standards:

In March 2025, NIST selected HQC for standardization as a backup key-encapsulation algorithm. HQC is not yet a finalized FIPS standard; NIST has said a draft standard is planned before a final standard. Organizations should therefore distinguish between currently finalized standards and algorithms that are still moving through the standardization process.

These standards provide organizations with defined technical targets. They do not, however, tell an organization where its own cryptographic dependencies exist.

That is the role of discovery and inventory.

NIST defines important destinations for the transition. Discovery helps establish the starting point and the systems that need to get there.

Why Shor’s Algorithm Matters to Today’s Cryptography

Much of today’s public-key cryptography, including RSA, Diffie-Hellman, and elliptic-curve cryptography, relies on mathematical problems that are difficult for classical computers to solve at scale.

Shor’s algorithm provides a theoretical method for solving integer factorization and discrete logarithm problems efficiently on a sufficiently capable quantum computer. That is why quantum computing cryptography is an important consideration when organizations evaluate the long-term security of existing public-key systems.

The timing remains uncertain. There is no public evidence that today’s quantum computers can use Shor’s algorithm to break production-scale RSA or ECC keys.

The concern is that the mathematical vulnerability is known even though the arrival date of a cryptographically relevant quantum computer is not. Because enterprise migration can take years, organizations are evaluating quantum-resistant cryptography before such a system exists.

The issue also connects to the harvest-now-decrypt-later risk model. Encrypted information intercepted today could potentially be stored for future decryption if sufficiently capable quantum computing becomes available. For information that needs to remain confidential for many years, the duration of that confidentiality is therefore an important factor in migration planning.

Why PQC Migration Matters for Banks and Financial Institutions

Financial institutions face a combination of factors that makes cryptographic discovery particularly important.

Banks manage customer information, financial records, payment systems, authentication infrastructure, digital signatures, APIs, certificates, and other systems that may rely on cryptography across different technology environments.

They may also operate technology that has accumulated over decades, alongside cloud services, third-party platforms, payment infrastructure, and modern applications.

For banks evaluating a PQC migration, this complexity makes it difficult to rely on assumptions about where cryptography exists. A structured approach to discovery can help establish which systems, algorithms, certificates, and dependencies need to be considered before migration priorities are set.

The transition from understanding quantum risk to building practical readiness is also being discussed within the banking cybersecurity community. Quantum Infinite is a trusted advisor to the Texas Bankers ISAO and has engaged with the organization on practical post-quantum preparedness. Its recorded Watch the Quantum Risk to Quantum Resilience webinar webinar discusses the move from theoretical quantum risk toward a structured approach to cryptographic resilience.

IBM Quantum Safe and the Broader Quantum-Safe Landscape

Cryptographic discovery is not limited to one vendor or one technology approach.

IBM Quantum Safe provides another example of how cryptographic discovery and inventory are being incorporated into broader quantum-safe programs. IBM Quantum Safe Explorer can scan source code for cryptographically relevant artifacts and generate cryptographic inventory information, including a Cryptography Bill of Materials (CBOM).

The important point is not that organizations should adopt one particular vendor approach. It is that discovery and inventory are becoming practical components of quantum-safe readiness.

Before an organization can assess cryptographic risk, prioritize remediation, or plan a transition to quantum-safe technologies, it needs a reliable understanding of what cryptography exists and where it is being used.

How Quantum Infinite Supports Cryptographic Discovery

Quantum Infinite’s cryptographic discovery capabilities cover several areas of an enterprise environment.

Web Server and URL Analysis

Quantum Infinite analyzes exposed web services, endpoints, and URLs to identify cryptographic usage and risk patterns.

Code Base Analysis

Application code and dependencies can be examined for weak or deprecated cryptographic libraries, algorithms, and implementations.

Network Analysis

Network analysis helps assess internal and external communications and map the cryptographic protocols in use.

Digital Certificate Analysis

Certificate analysis evaluates certificates, key lengths, algorithms, trust chains, lifecycle status, and expiration risk.

Together, these areas help establish visibility into an organization’s cryptographic environment before assessment and migration planning.

Quantum Infinite also positions its delivery model around zero-data and air-gapped deployment, keeping sensitive information within the organization’s environment during analysis and transformation. This approach is particularly relevant for financial institutions and other organizations with strict data-sovereignty requirements.

The objective is not simply to identify algorithms. It is to build the information needed to understand exposure, prioritize systems, and develop a controlled path toward post-quantum readiness.

What Happens If Organizations Skip Discovery?

Moving directly to algorithm selection without first understanding the existing environment can create problems later in the migration process.

Systems may be missed because their cryptographic dependencies were never identified. Changes that appear isolated may affect applications, certificates, APIs, or vendor integrations that were not mapped. Migration scope may also turn out to be larger than originally estimated.

Testing can then reveal dependencies that should have been identified earlier.

The governance challenge is similar. When security teams, auditors, or executives ask about PQC readiness, an organization needs more than a list of future intentions. It needs evidence of what cryptography exists, which assets are exposed, what has been prioritized, and how the migration plan addresses those findings.

Discovery does not eliminate migration complexity. It makes that complexity visible early enough to manage.

The Bottom Line

PQC migration does not begin with replacing algorithms. It begins with understanding the cryptographic environment those algorithms are meant to protect.

The practical sequence is:

Discover → Inventory → Assess → Prioritize → Plan → Migrate → Maintain Crypto-Agility

Each stage depends on information gathered in the stages before it.

Organizations that begin with discovery can build migration decisions around their actual environment rather than assumptions about it.

You cannot migrate what you have not found.


Frequently Asked Questions

What is the first step in a PQC migration?

Cryptographic discovery is a practical first step. It identifies where cryptography exists across applications, networks, certificates, source code, and infrastructure before organizations begin assessment, prioritization, or migration planning.

What’s the difference between cryptographic discovery and a cryptographic inventory?

Discovery identifies cryptographic assets and usage. A cryptographic inventory is the structured, maintained record of those findings, including relevant algorithms, certificates, libraries, protocols, applications, and dependencies.

How do you create a cryptographic inventory for PQC migration?

A cryptographic inventory begins by identifying where cryptography is used across applications, infrastructure, networks, certificates, cloud services, and third-party dependencies. Organizations can then add technical and business context such as ownership, data sensitivity, retention requirements, criticality, and migration dependencies to support assessment and prioritization.

Do quantum computers currently threaten RSA or ECC encryption in production?

There is no public evidence that today’s quantum computers can break production-scale RSA or ECC keys. The concern is future risk from a sufficiently capable quantum computer running algorithms such as Shor’s algorithm, combined with the fact that organizations may need years to complete a large-scale cryptographic transition.

Why is cryptographic discovery especially important for banks?

Banks operate complex environments containing customer information, financial records, payment systems, APIs, certificates, authentication infrastructure, legacy platforms, and third-party dependencies. A complete cryptographic inventory can help financial institutions understand what may need to be addressed before building a PQC migration roadmap.

What NIST standards apply to post-quantum cryptography today?

NIST finalized FIPS 203, FIPS 204, and FIPS 205 in August 2024. They specify ML-KEM, ML-DSA, and SLH-DSA respectively. NIST selected HQC in March 2025 for standardization as a backup key-encapsulation algorithm, but HQC is not yet a finalized FIPS standard.

What is IBM Quantum Safe?

IBM Quantum Safe is IBM’s broader technology portfolio for helping organizations assess and manage cryptographic risks associated with future quantum threats. IBM Quantum Safe Explorer includes source-code scanning, cryptographic discovery, inventory capabilities, and CBOM generation.

Leave a Reply

Your email address will not be published. Required fields are marked *