For years, security and compliance teams focused on protecting applications through vulnerability scanning, penetration testing, access controls, and governance frameworks. Those controls remain important, but modern software environments have evolved into something far more complex than traditional security programs were designed to manage.

Today's enterprise applications are assembled rather than built.

A typical application contains thousands of software components, open-source libraries, third-party services, APIs, AI models, cryptographic libraries, certificates, and inherited dependencies. Development teams may write only a fraction of the code running in production. The rest comes from external sources that continuously change, update, and introduce new risks.

This shift has fundamentally changed the questions security and compliance leaders must answer.

When a critical vulnerability is disclosed, can you immediately identify affected applications?

When auditors ask where vulnerable cryptographic algorithms exist across the organization, can you provide evidence?

When regulators request transparency around AI models, training data, and third-party AI services, do you have an inventory ready?

Increasingly, these questions cannot be answered through traditional security controls alone. They require visibility.

That is where Software Bills of Materials (SBOMs), Cryptographic Bills of Materials (CBOMs), and AI Bills of Materials (AIBOMs) are becoming essential components of modern governance and security programs.

The Rise of the Visibility Challenge

Security teams have traditionally focused on identifying vulnerabilities after software has been built. Compliance teams focused on documenting controls and demonstrating adherence to regulations.

Both approaches assume organizations understand what exists within their technology environment.

Unfortunately, that assumption is no longer valid.

Modern applications contain deeply nested dependency chains. A single software package may pull in dozens of additional packages, each introducing their own vulnerabilities and licensing obligations. Cryptographic implementations may be spread across hundreds of systems and applications. AI services may be deployed by multiple teams without centralized governance.

Without a reliable inventory, organizations struggle to answer basic questions:

• What software components are running in production?
• Which systems contain vulnerable libraries?
• Where are deprecated cryptographic algorithms being used?
• Which AI models are making business decisions?
• What third-party services influence application behavior?

You cannot secure what you cannot see.

Bills of Materials provide the visibility layer required to answer these questions.

Understanding SBOM: The Foundation of Software Supply Chain Visibility

A Software Bill of Materials (SBOM) is an inventory of all software components used within an application.

It identifies:

• Open-source packages
• Third-party libraries
• Software dependencies
• Package versions
• Licensing information
• Dependency relationships

Think of an SBOM as the ingredient list for software.

When a vulnerability such as Log4Shell or a compromised package appears, organizations with current SBOMs can rapidly determine whether they are exposed. Instead of launching organization-wide investigations, security teams can immediately identify affected applications and prioritize remediation.

This visibility has become increasingly important as regulators and customers demand greater software supply chain transparency.

In the United States, Executive Order 14028 accelerated adoption of SBOMs across federal software procurement programs. Globally, software supply chain security requirements continue to expand through industry regulations and cybersecurity frameworks.

For compliance leaders, SBOMs provide evidence

For security teams, they provide operational visibility.

Both functions are becoming critical

Why SBOM Alone Is No Longer Enough

While SBOMs solve an important visibility problem, they only cover one part of today's technology ecosystem

Organizations face additional challenges beyond software components.

Consider the growing concern around post-quantum cryptography.

Security leaders must understand where encryption algorithms are implemented, which certificates are deployed, and which systems rely on cryptographic methods that may require replacement in the coming years.

An SBOM cannot answer those questions.

Similarly, AI adoption introduces new governance challenges.

Organizations increasingly deploy large language models, machine learning systems, AI frameworks, and third-party AI services throughout their business processes. Regulators, customers, and internal governance teams want visibility into how these systems are built, trained, and operated.

Again, an SBOM alone cannot provide those answers.

This is why organizations are beginning to adopt CBOMs and AIBOMs alongside traditional SBOMs.

CBOM: Visibility Into Cryptographic Risk

A Cryptographic Bill of Materials (CBOM) provides an inventory of cryptographic assets and implementations across an organization.

A CBOM typically includes:

• Encryption algorithms
• Digital certificates
• Cryptographic libraries
• Key management systems
• Security protocols
• Cryptographic dependencies

This inventory is becoming increasingly important as organizations prepare for post-quantum cryptography migration initiatives.

Many enterprises do not fully understand where cryptographic controls exist within their environment. As a result, replacing vulnerable or deprecated algorithms becomes a lengthy and expensive discovery exercise.

A CBOM changes that.

Instead of searching across hundreds of applications and systems, organizations gain a centralized view of their cryptographic landscape.

For compliance teams, this supports regulatory requirements around encryption and data protection.

For security teams, it enables risk reduction and future-proofing initiatives

AIBOM: Governing the AI Ecosystem

Artificial Intelligence is creating an entirely new governance challenge.

Organizations are deploying AI systems faster than they can document them.

Different teams may use different models, frameworks, datasets, and AI service providers. As AI regulations mature, this lack of visibility creates operational and compliance risks.

An AI Bill of Materials (AIBOM) provides structured visibility into AI systems and their components

An AIBOM typically captures:

• AI models in use
• Training datasets
• Frameworks and libraries
• Third-party AI services
• Model versions
• Deployment environments
• Governance metadata

As regulations such as the EU AI Act and emerging AI governance frameworks continue to evolve, organizations will increasingly need to demonstrate accountability and transparency around AI systems.

Security concerns are equally important.

AI models can introduce supply chain risks, model poisoning concerns, unauthorized data exposure, and third-party dependency risks. Without visibility into deployed AI assets, organizations cannot effectively assess or manage those risks.

For security and compliance leaders, AIBOMs are rapidly becoming the AI equivalent of SBOMs.

Compliance Is Driving Adoption—but Security Delivers the Real Value

Many organizations initially adopt BOM programs because of regulatory pressure.

Auditors request software inventories.

Customers require supply chain transparency

Regulators demand evidence of governance.

These requirements often trigger the first SBOM, CBOM, or AIBOM initiatives.

However, the long-term value extends far beyond compliance.

A compliance-driven inventory may help pass an audit.

A security-driven inventory helps prevent incidents.

When security teams maintain accurate visibility into software, cryptography, and AI systems, they gain the ability to:

• Identify exposure quickly
• Prioritize remediation efforts
• Reduce investigation time
• Improve incident response
• Strengthen risk management
• Support governance initiatives

In practice, organizations that treat BOMs as living security assets derive significantly more value than those treating them as audit artifacts.

The Biggest Mistake: Treating BOMs as Static Documents

Many organizations still generate BOMs periodically and store them for future reference.

This approach creates a dangerous illusion of visibility.

Software changes daily.

Dependencies update constantly.

AI models evolve.

Certificates expire.

Libraries are replaced.

A BOM generated six months ago may satisfy documentation requirements, but it cannot accurately represent today's environment.

Security and compliance leaders must recognize that visibility is not a one-time activity.

It is a continuous process.

The most effective BOM programs integrate directly into development workflows, continuously updating inventories as software, cryptographic assets, and AI systems evolve.

Only then can organizations maintain confidence that their inventory reflects reality.

The Future of Security Governance

The next generation of cybersecurity programs will rely heavily on visibility.

Organizations will need accurate, continuously maintained inventories across software components, cryptographic assets, and AI systems.

SBOMs provide visibility into software supply chains.

CBOMs provide visibility into cryptographic infrastructure.

AIBOMs provide visibility into AI ecosystems.

Together, they form the foundation of modern security governance.

The organizations that invest in these capabilities today will be better positioned to manage emerging threats, meet evolving compliance obligations, and respond rapidly when new risks appear.

The question is no longer whether security and compliance leaders need Bills of Materials.

The question is whether they have the visibility required to make confident decisions when the next vulnerability, cryptographic transition, or AI governance challenge arrives.

Because in cybersecurity, visibility is not just documentation.

It is the foundation of control.