Cryptography Bill of Materials (CBOM): Why Every Enterprise Needs One Now

Cryptography has quietly become the largest ungoverned attack surface in the enterprise, yet most organizations still treat it as a once-a-year audit item. That gap is where risk accumulates, and it is no longer a problem that can be deferred.

Most enterprises do not have a complete picture of their own cryptography. They do not know every algorithm in use, every certificate about to expire, every library that embeds a deprecated cipher, or every key that protects data sitting in cloud storage. That gap is no longer a hygiene problem; it is a strategic liability. Post-quantum standards have been finalized, regulatory deadlines are arriving, and adversaries are already collecting encrypted data today to decrypt it once quantum capability becomes available. Organizations cannot secure, migrate, or govern what they cannot see.

A Cryptography Bill of Materials (CBOM) is how enterprises close that gap. It is a structured, machine-readable inventory of every cryptographic asset deployed across an organization, including the algorithms in use, the libraries they depend on, the certificates securing communications, the keys protecting data at rest and in transit, and the dependency relationships between all of these components. Think of it as a live map of cryptographic posture: not just which algorithms exist, but what role each plays, where it is deployed, and whether it still meets current security requirements.

Understanding the cryptographic estate is no longer a best practice reserved for the most mature security programs. It is becoming a foundational requirement for any enterprise that wants to manage risk intelligently and prepare for what is coming. This blog covers why the urgency is real, what a CBOM must contain, and how to build one before the window closes.

This blog will guide you through understanding why enterprises should start establishing CBOM now, and how it plays a critical role in managing cryptographic risk, ensuring compliance, and preparing for emerging threats like post-quantum computing.

Why Organizations Are Building CBOMs Now

The urgency around CBOMs is not driven by a single factor. It is the convergence of several forces, each serious on its own, that together make inaction increasingly difficult to justify. Here is what is driving that convergence.

1. Quantum Threat

When a cryptographically relevant quantum computer becomes available, RSA and elliptic curve cryptography, the foundations of most enterprise security today, will be broken. The National Institute of Standards and Technology has finalized the first set of post-quantum cryptographic standards, including ML-KEM for key encapsulation and ML-DSA and SLH-DSA for digital signatures. However, organizations cannot adopt these replacements without first knowing precisely where the algorithms being replaced are deployed. CBOM is what makes that mapping possible.

Without that map, migration to post-quantum standards becomes a chaotic, ad hoc effort. With it, teams have an exact, system-by-system inventory of where RSA and ECC are deployed and can sequence the transition in priority order. The word “vulnerable” here refers to the mathematical assumptions beneath these algorithms. RSA relies on the difficulty of factoring large numbers, and ECC relies on the hardness of the elliptic curve discrete logarithm problem, both of which hold against classical computers. However, Shor’s algorithm, published in 1994, can solve both problems efficiently on a sufficiently powerful quantum machine.

2. Cryptographic Debt

Enterprises have been building up cryptography for many years, often without fully tracking it. Old TLS configurations are still in use. RSA keys that were meant to be temporary are still active. Deprecated hash functions like SHA-1 or weak cipher configurations may still persist inside third-party libraries. Some certificates have unusual validity periods. And in many cases, custom cryptographic code is still running, even though the developers who created it are no longer around.

Without a CBOM, organizations cannot scope a post-quantum migration accurately, cannot respond quickly when a cryptographic vulnerability is disclosed, and cannot demonstrate to regulators that their cryptographic estate is under control. A CBOM surfaces the full extent of accumulated cryptographic debt and helps security teams remediate proactively rather than discovering exposure only after a breach or audit.

3. Harvest Now, Decrypt Later (HNDL)

The third driver is the HNDL threat, which reframes quantum risk as a present-day concern rather than a future one. Adversaries are collecting encrypted data today with the intention of decrypting it retroactively once quantum capability becomes available. Data that must remain confidential for the next decade is already at risk, which means the window for action is narrower than the quantum timeline alone suggests. Not all encrypted data carries equal risk under HNDL, however.

The threat is most acute for long-lived sensitive data: private keys and root certificates, strategic communications, healthcare and financial records, classified government material, and intellectual property with extended competitive value. A session token or a short-lived authentication exchange has little value to an adversary waiting years for quantum capability; a diplomatic cable or a genomic dataset retained for decades is a very different matter.

Prioritizing which assets to migrate first requires knowing which data flows and encryption mechanisms protect long-lived sensitive data. Organizations can then focus immediate PQC migration on those assets before adversaries accumulate enough ciphertext to make decryption worthwhile. One important technical qualifier shapes this prioritization: forward secrecy.

Protocols that use ephemeral key exchange. Most notably TLS 1.3 with ephemeral Diffie-Hellman (DHE or ECDHE) cipher suites generate a unique session key for each connection and discard it immediately after use. Because no long-term private key can retroactively reconstruct that session key, harvested ciphertext from TLS 1.3 sessions protected by ephemeral key exchange cannot be decrypted even with future quantum capability. This materially reduces the HNDL exposure for organizations that have already deployed TLS 1.3 consistently across their infrastructure.

The CBOM role here is precise: identifying which connections use ephemeral key exchange versus static key material, and which data stores and protocols lack forward secrecy and therefore represent the highest-priority targets for PQC migration.

4. Trust Now, Forge Later (TNFL)

While HNDL targets the confidentiality of data, TNFL targets its integrity. The mechanism works as follows: today’s signature schemes rely on the mathematical hardness of problems that quantum computers will be able to solve efficiently. An adversary who collects a signed artifact now along with the corresponding public key, which is typically public by design will eventually be able to use a quantum computer to derive a private key capable of producing signatures that verify correctly against that public key. They can then sign a malicious artifact that passes verification as if it were legitimate.

Example: Imagine a firmware update signed today with a classical RSA key. An adversary captures that signed binary alongside the public key. Years later, using a quantum computer, the adversary recovers the private signing key and uses it to sign a malicious firmware image. When that device next checks for an update, the forged firmware passes signature verification perfectly. The device installs it and has no way to detect the compromise.

The threat is not to signatures that have already been verified and acted upon; those are safe. The risk is to any artifact whose authenticity will be checked in the future such as software updates that devices will continue to trust for years, firmware that will be validated at the next boot cycle, or long-lived certificates that chain to a root CA not yet rotated to a quantum-resistant algorithm.

A CBOM maps every signing key and digital signature scheme in use across the organization, enabling teams to identify which code-signing pipelines, certificate authorities, and document integrity mechanisms need to migrate to quantum-resistant signature algorithms before forged artifacts become a practical threat. Algorithm selection for the migration itself also requires context.

ML-DSA (CRYSTALS-Dilithium) offers fast signing and verification and is well-suited to high-throughput environments such as application and package signing pipelines. SLH-DSA (SPHINCS+), the NIST-standardized hash-based scheme, produces significantly larger signatures and signs more slowly, but its security rests on conservative hash-function assumptions rather than structured lattice problems, making it a preferred choice for high-assurance or long-lived signing contexts.

For firmware and embedded systems specifically, signature size and verification speed are not academic concerns: many constrained devices have strict storage limits and slow processors, meaning the choice of PQC algorithm directly affects whether a migration is deployable in practice. A CBOM that captures not just which algorithms are in use but which environments and device classes they serve gives teams the context needed to select the right replacement for each signing use case, rather than applying a single algorithm uniformly across a heterogeneous estate.

5. Regulatory and Compliance Deadlines

NIST IR 8547 (Initial Public Draft, November 2024), Transition to Post-Quantum Cryptography Standards, identifies cryptographic inventorying as a prerequisite for migration planning. While still in draft, it represents NIST’s formal stated direction and is already influencing agency planning timelines.

OMB Memorandum M-23-02, issued in November 2022, requires federal agencies to submit annual cryptographic inventories prioritized by high-value assets, with reporting and migration planning obligations continuing through 2035. In parallel, CNSA 2.0 and National Security Memorandum 10 establish the broader 2027–2035 PQC migration timeline, where cryptographic inventorying is treated as the foundational first step.

These mandates are not isolated to the public sector. They set the direction of travel for enterprise security expectations broadly, and industries including financial services, healthcare, and critical infrastructure are following closely.

A CBOM provides the structured, machine-readable cryptographic inventory that regulators are beginning to require, giving compliance teams audit-ready evidence of cryptographic posture and a documented baseline for demonstrating migration progress against mandated timelines.

Before examining how to build a CBOM, let us understand how it differs from related inventory constructs: SBOM and cryptographic inventory.

CBOM vs SBOM vs Cryptographic Inventory

These three constructs are related but distinct as each answers a different question, operates at a different scope, and serves a different function in managing cryptographic risk. The table below breaks down the key differences across scope, output, and regulatory relevance.

Dimension	CBOM	SBOM	Cryptographic Inventory
What it captures	All cryptographic assets, including algorithms, keys, certificates, protocols, and cryptographic libraries	All software components, including libraries, frameworks, dependencies, versions, licenses	Organization-wide cryptographic posture across all systems, environments, and third-party relationships
Primary question answered	How is that software cryptographically configured?	What software is present?	What does our overall cryptographic risk look like, and is it governed effectively?
Scope	Cryptographic layer within and across software components	Application and software supply chain	Entire enterprise: applications, infrastructure, cloud, OT, vendors
Static or dynamic	Tied to software releases; distinguishes present vs. runtime-used cryptography	Tied to a software release	Continuously evolving with infrastructure and configuration changes
Key output	Cryptographic dependency graph with context for risk and compliance decisions	Component transparency for vulnerability management	Holistic risk posture, compliance reporting, and remediation tracking
Regulatory relevance	Draft NIST IR 8547, OMB M-23-02, CNSA 2.0 migration planning	US EO 14028, software supply chain mandates	Ongoing compliance operations across all applicable frameworks

With the key drivers established, the next question is what a CBOM enables once it is built. The answer lies in crypto agility i.e., the organizational capacity to respond quickly when the cryptographic environment shifts.

How CBOM Enables Crypto Agility

Crypto agility refers to the organizational and technical capacity to identify, swap, and replace cryptographic algorithms quickly and cleanly in response to vulnerabilities, deprecations, or evolving standards. Crypto agility is widely recognized as an essential security property. NIST explicitly calls it out in its post-quantum transition guidance as a prerequisite for managed, orderly migration. What is less well understood is that it is not a feature you can add to a system after the fact. It must be designed into systems from the start.

The Hard-Coded Algorithm Problem

The most common obstacle is hard-coded algorithms: applications that call a specific cryptographic function directly cannot have their cryptographic behavior changed without modifying and redeploying the application itself. In environments with hundreds of services, this is not a configuration change; it is a re-architecture program.

The technical solution is an abstraction layer that separates the application’s cryptographic intent from the algorithm that fulfills it. Libraries like OpenSSL’s EVP (envelope) API and the PKCS#11 interface are designed exactly for this: applications express operations at a high level (“sign this data”, “encrypt with a symmetric key”), and the underlying algorithm can be swapped at configuration time without touching application code.

Organizations that built systems against these abstraction layers are genuinely agile; organizations with direct algorithm calls embedded in application logic are not, regardless of how good their inventory is. The CBOM identifies which systems fall into which category, making it the diagnostic tool that reveals where re-architecture is required before migration can proceed.

Governance, Supply Chain, and Automation

Knowing that quantum-vulnerable algorithms such as RSA and ECC exist somewhere in your environment tell you very little. Knowing that it is the signing algorithm used by a firmware update system serving critical infrastructure, or the key encapsulation method protecting a financial messaging API with a ten-year data retention requirement, tells you something you can act on. The CBOM is what carries that context.

This is also why CBOM reporting is considered a prerequisite for cryptographic agility rather than a byproduct of it. Governance, supply chain visibility, and automation each represent a distinct dimension of agility, and each requires a different slice of CBOM data to be useful.

A governance team needs to know which algorithms fall outside policy and which business units own the assets in question. A supply chain security function needs to know which third-party libraries introduce cryptographic dependencies and whether those dependencies have been assessed. An automation pipeline needs machine-readable CBOM output that it can query at build time to enforce cryptographic policy before non-compliant code reaches production.

Use Cases Across the Enterprise

The use cases that flow from crypto agility extend well beyond the obvious ones. Software security and development teams use CBOM data for dependency auditing, shift-left compliance, and threat modeling. Incident response teams use it to scope the blast radius of a cryptographic vulnerability disclosure within hours rather than weeks. Interoperability assessments depend on knowing whether protocol versions and cipher suites are compatible across vendor boundaries.

Cloud and virtualization environments require cryptographic attestation and controls for secure multi-tenancy. IoT and embedded systems demand firmware-level cryptographic visibility that traditional network scanning cannot reach. Digital identity platforms need CBOM coverage of PKI hierarchies, credential management systems, and wallet interoperability.

Each of these use cases requires a different subset of CBOM elements, from metadata and component definitions to service mappings, dependency graphs, and compositional relationships. This is precisely why CBOM is designed as a flexible extension to the broader bill of materials ecosystem rather than a standalone standard. Forcing a single rigid format onto every use case would make the inventory less useful, not more.

Hybrid Cryptography and the Transition Period

One timely dimension of crypto agility is hybrid cryptography. During the PQC transition period, many organizations are deploying hybrid key exchange mechanisms that combine a classical algorithm, such as X25519, with a post-quantum algorithm, such as ML-KEM, running both in parallel so that the session remains secure as long as either algorithm holds.

Standards bodies, including IETF and NIST, support this approach as a migration hedge: it provides quantum resistance without abandoning the classical algorithms that current infrastructure was built to trust. Tracking hybrid configurations adds complexity to CBOM, since each hybrid session involves two algorithm components, two key types, and negotiated combinations that may vary by client.

A CBOM that does not distinguish between a pure classical session, a hybrid session, and a pure PQC session cannot accurately report an organization’s transition progress. The ultimate goal is a living, organization-wide cryptographic inventory that enables continuous visibility, risk prioritization, and remediation, positioning organizations to confidently address today’s vulnerabilities and prepare for tomorrow’s challenges without costly replatforming or downtime. Reaching that goal requires clarity about how CBOM relates to the other inventory constructs that enterprises are already familiar with.

Understanding this distinction clarifies what a CBOM must do. The harder question is how organizations actually go about building one.

Common Challenges in Building a CBOM

Building a CBOM is not just a documentation exercise, but a complex ongoing process. Most organizations struggle with limited visibility into where cryptography is used, inconsistent implementations across systems, and the difficulty of tracking algorithms, keys, and certificates over time. Legacy dependencies, third-party components, and the absence of centralized governance compound the problem further. Creating an accurate, up-to-date CBOM is a significant undertaking. Each of these deserves a closer look.

1. Scale of Discovery

Modern IT environments are vast and heterogeneous, and cryptography is embedded throughout, often in applications, infrastructure, cloud services, endpoints, and operational technology. Manual approaches are impractical at this scale. Static code analysis, network traffic inspection, agent-based host scanning, and configuration parsing each reveal different classes of cryptographic assets, and no single tool captures everything and each method has a distinct coverage profile and a distinct blind spot.

Static code analysis identifies algorithm references, library imports, and hard-coded key material in source and compiled binaries but cannot observe which cryptographic paths are actually exercised at runtime or detect algorithms loaded dynamically from configuration.

Network traffic inspection can identify TLS cipher suites and protocol versions negotiated in-flight, but cannot see inside encrypted payloads, cannot identify keys stored in HSMs, and is blind to data-at-rest encryption and any cryptography that does not traverse a monitored network segment. Agent-based host scanning reaches operating system key stores, certificate stores, and process-level library usage, but requires agent deployment across every environment and often cannot access cryptographic material inside application sandboxes or containerized workloads without additional instrumentation.

Configuration parsing covers protocol settings, cipher suite configurations, and certificate metadata exposed in config files and API responses but misses runtime-only state and any configuration stored outside standard paths. Legacy systems, custom-built cryptographic wrappers, and cryptography loaded dynamically at runtime are particularly difficult to reach with automated scanning alone.

HSM-resident keys present a separate and particularly hard discovery problem. Hardware security modules store high-value private keys in tamper-resistant hardware and, by design, never expose key material externally. Discovery depends entirely on the HSM vendor’s management API and these interfaces vary significantly across vendors in what metadata they expose.

Many HSMs do not uniformly surface key labels, algorithm parameters, or usage attributes through a single query, requiring custom integration per device or service. Organizations with heterogeneous HSM environments, a common situation after years of acquisitions or multi-cloud adoption, often find that no single scanning tool can enumerate all HSM-resident keys without bespoke connectors for each platform.

2. False Positives and Coverage Gaps

Scanners flag cryptographic patterns that may not represent actual production usage, generating noise that security teams must manually validate. Legacy libraries with insecure cryptography that are difficult to replace compound the problem, as does the static nature of CBOM artifacts, which cannot independently reflect dynamic changes in cryptographic usage.

A raw scan result is not a CBOM; it becomes one only when assets are validated, contextualized, and linked to the systems and business functions that depend on them.

3. Organizational Ownership

Cryptographic assets span development teams, infrastructure teams, security operations, compliance functions, and vendor relationships. Without clear roles and processes for managing cryptographic inventories across teams, discovery results become orphaned artifacts rather than governed assets. The CBOM requires defined data stewardship: someone must own each class of cryptographic asset, someone must be accountable for maintaining its accuracy, and the organization must have a defined process for updating the inventory when systems change.

4. Keeping the CBOM Current

A CBOM captures a point-in-time inventory and cannot, on its own, reflect dynamic changes in cryptographic usage. Real-time cryptographic activity monitoring tools are required for operational visibility, and the CBOM itself must be integrated into development and deployment workflows so that new cryptographic dependencies are captured at the point of introduction.  A CBOM that is accurate at a point in time but not maintained thereafter rapidly loses its value as a governance tool.

5. Tooling Maturity

Unlike SBOM, which benefits from well-established formats like SPDX and CycloneDX and a mature tooling ecosystem, CBOM standardization is more recent. Formally introduced in CycloneDX v1.6 in April 2024 and ratified as part of ECMA-424 in June 2024. While an official format now exists, the tooling ecosystem is still maturing: organizations need tools capable of parsing binaries, scanning infrastructure, and detecting cryptographic usage automatically across diverse environments, and no universal implementation approach has yet emerged.

These challenges are solvable, but they require purpose-built tooling rather than adapted general-purpose scanners. CBOM Secure is designed specifically for this problem.

What follows describes how Encryption Consulting approaches each of these challenges — not as a point-in-time scan, but as a continuous operational practice embedded into your cryptographic governance.

How Encryption Consulting Can Help

The challenge at this point is clear: cryptographic visibility remains fragmented, and point-in-time CBOM snapshots are insufficient once environments begin changing. This is where our CBOM Secure comes in.

CBOM Secure is not simply another discovery tool that produces a list of keys and certificates. It is built to act as a continuous cryptographic intelligence layer, one that does not merely report what exists, but enables teams to understand, track, and act on it.

The focus shifts from: “What crypto do we have?” to “What crypto matters right now, where is it being used, and what needs attention?”

Automated Discovery Across HSM, Cloud, and Pipelines

Our platform continuously scans and connects to different parts of your environment, including:

1. HSMs for high-value keys
2. Cloud platforms for managed keys and certificates
3. CI/CD pipelines where signing and crypto operations happen
4. Enterprise applications, services, and infrastructure where cryptographic assets are actively deployed

Rather than relying on periodic scans or manual updates, the platform keeps the CBOM aligned with what is actively being created, deployed, and used across the enterprise. This is especially important in larger organizations where cryptographic assets exist across multiple environments, and no single team has full visibility into the complete footprint.

Certificate and Key Tracking with Time-Based Visibility

Our platform doesn’t just find assets; it tracks them over time. That means you can see:

1. Where certificates and keys are deployed
2. How they’re linked (for example, cert–key relationships)
3. When they were created, rotated, modified, or expired
4. Their current state (active, expiring, unused, deprecated)

This time-sequence view adds an important layer of operational intelligence. Instead of only knowing what exists today, teams can understand lifecycle patterns, detect stale assets, and identify long-term exposure risks. This makes it much easier to prevent outages, improve rotations, and reduce unmanaged cryptographic debt.

Algorithm Analysis (With and Beyond PQC)

Knowing where algorithms are used is critical, especially with the shift toward post-quantum cryptography. Our platform analyzes:

1. Which algorithms are currently in use
2. Where weaker or deprecated ones exist
3. How exposed are you to future cryptographic risks
4. Where cryptographic modernization may be required across business-critical systems

While PQC readiness is an important driver, our platform goes beyond quantum preparation. It also helps organizations address broader cryptographic concerns, like:

1. Outdated implementations
2. Inconsistent policy enforcement
3. Weak enterprise crypto hygiene
4. Long-term crypto agility

In other words, this isn’t just about preparing for quantum threats; it’s about improving cryptographic governance as a whole.

Understanding Cryptographic Usage Across the Enterprise

One of the biggest challenges organizations face isn’t simply finding keys or certificates; it’s understanding where those assets are actually being used. Our platform helps answer practical questions like:

• Which applications depend on this certificate?
• Which services would break if this key is rotated?
• Where are deprecated algorithms still active?
• Which business units own specific cryptographic assets?

This broader usage mapping turns CBOM into more than an inventory; it becomes a way to understand how cryptography supports operational systems across the organization. That context is what allows teams to prioritize, plan, and govern effectively.

Policy Enforcement

Visibility alone isn’t enough; you need guardrails. Our platform lets you define and enforce policies such as:

• Approved algorithms and key sizes
• Certificate validity limits
• Rotation requirements
• Enterprise crypto governance standards

More importantly, it flags violations early, whether they appear in production systems, cloud deployments, or build pipelines. This helps teams move from reactive fixes to proactive control.

The outcome is a CBOM that operates as a continuous control rather than a static report. CBOM Secure turns that into something you can actually use day to day. It’s not just about collecting more data. It’s about:

• Understanding where cryptographic assets live
• Tracking how they change over time
• Identifying real risks
• Enforcing governance
• Operationalizing cryptographic intelligence across the enterprise

That’s what moves CBOM from theory into practice.

Conclusion

The enterprises that will handle the post-quantum transition smoothly are not the ones that start migrating first. They are the ones who built cryptographic visibility early enough to know exactly what they are migrating, why it matters, and in what order to act.

A CBOM does not solve every cryptographic problem, but it is the precondition for solving any of them at scale. The algorithms are being deprecated. The regulatory mandates are arriving. The quantum timeline is compressing. The only variable still within your control is when you start building the inventory.

Closing the cryptographic visibility gap requires the same operational discipline that security teams already apply to identity, endpoints, and networks. That is what CBOM Secure is built to deliver.