What is Zero Trust at the Data Layer?

Zero Trust has become the gold standard for robust data security. NIST promotes its use,¹ the federal government mandates it,² and nearly all organizations favor the approach over traditional measures.³ Yet many are building architectures that don’t have firm enough foundations. 

Most Zero Trust systems focus on access controls: multi-factor authentication (MFA), network microsegmentation, and granular, role-based restrictions. But while some use application-level security to narrow the perimeter and most operate on a Principle of Least Privilege (PoLP) basis to ensure access controls are stringent, all these approaches leave a clear vulnerability: 

What happens when authorized individuals act in bad faith?

Once individuals pass the MFAs and gain access to the perimeter, they have free rein with whatever data exists within it. Even organizations whose Zero Trust controls cover their entire attack surface—which is far from a given—struggle to protect data once users gain authorization.

That’s a problem because:

• Insider Threats are the primary cause of up to 60% of data breaches,⁴ with authorized individuals able to pass MFA barriers and steal data.
• Digital sprawl means organizations have large, complex networks that leave security blind spots and make granular access controls harder to accurately manage or monitor.
• Post-Access visibility is limited, and once data is exfiltrated, there is no way to avoid it being misused.

While a majority of companies use data loss prevention (DLP) solutions, nearly one-third struggle to manage these tools.⁵ The complexity of deployment can limit these companies’ ability to effectively monitor and prevent suspicious data activity, especially given the vulnerabilities that network-level Zero Trust controls present.

These threats leave organizations today in a bind: do you continue pursuing Zero Trust measures, which increase security but leave significant gaps, or do you rethink the approach and invest in a more robust architecture?

Zero Trust at the Data Layer: The Future of Data Security

Standard Zero Trust systems use the right controls; MFA, microsegmentation, and encryption all provide robust security and make unauthorized access difficult. But network- and software-level access controls leave a lot of room for authorized individuals to access a lot of data. Anything within a particular tool might be up for grabs, potentially making the radius of potential theft significant.

The solution is to shift the focus point away from broad access points to the data itself. Access controls and post-quantum encryption are integrated directly into individual data objects and transactions, forcing individuals to prove they are entitled to view every piece of sensitive information they access.

While this “Zero Trust at the Data Layer” approach could involve many different specific solutions and strategies, it fundamentally rests on a few core principles:

• Granular Data Classification: Data is tagged using a granular taxonomy that allows you to follow the PoLP with great precision. Access is controlled down to the level of individual pieces of data, both increasing security and dramatically narrowing your search if data is stolen or misused. 
• Attribute-Based Access Control (ABAC): Access decisions are based on the characteristics of the data itself (sensitivity, type, regulatory status), not just the characteristics of the user.
• Robust Encryption: While standard Zero Trust architecture encrypts data at rest and in transit, once a user accesses the security perimeter, the information is already decrypted.

Three Ways Data-Level Protection Keeps Businesses Safe

The shift from network- to data-level security delivers three clear benefits:

1. Detailed Visibility of Data Activity

Standard zero trust makes tracing data breaches difficult: 100 people might have access to the tool from which the data leaked, making it hard to pinpoint exactly what happened or contain the risk. 

Data-layer zero trust tells you who accessed which specific record, what they did with it, and where it went; it logs every interaction at the object level rather than the perimeter. That granularity serves two purposes: 

1. Detecting suspicious behavior in progress, such as unusual export volumes or access outside a user's normal scope
2. Providing the forensic trail needed to establish exactly what was taken if a breach does occur

2. Simplify the Shift to Post-Quantum Encryption

Quantum computing will render existing encryption standards obsolete, leaving all data security vulnerable to attacks. But while new quantum-resistant solutions are being developed, implementing them has the potential to cause serious disruption. 

When encryption is implemented at the network level—as it does in many Zero Trust architectures—the transition to post-quantum encryption (PQE) requires a system overhaul. That means high costs, significant complexity, and likely at least some system downtime.

Data-layer zero trust makes that transition significantly less disruptive. Because encryption is applied to the data object itself, organizations can update their cryptographic algorithms through their key management system (re-encrypting data in order of sensitivity) without overhauling the network, reconfiguring servers, or rebuilding application dependencies. The perimeter stays intact; only the wrapper around the data changes.

3. Accelerate Compliance with Complex Federal Mandates 

Tough federal security standards like FedRAMP and CMMC demand granular access controls, comprehensive audit trails, and demonstrable data lifecycle management: exactly what data-layer controls are designed to provide. 

Every access request is logged at the object level, every key state change is recorded, and classification tags create the structured evidence base that auditors require. Rather than retrofitting compliance onto a network-level architecture that was never designed for it, organizations that deploy zero trust at the data layer can achieve compliance faster and with significantly less disruption.

But How Do You Actually Build Zero Trust at the Data Layer?

While leaders might accept the principle of data-layer protection, it can feel like an overwhelming task. The time, expense, and complexity might seem a tall order, but the reality is that making the transition will save you time in the long run—especially if you’re subject to federal mandates that make PQC an urgent priority.

Our checklist guides you through every step required to deploy Zero Trust at the data layer. It will help you:

• Identify gaps in your existing data security program
• Deploy more robust and granular data security controls
• Reduce the cost and complexity while increasing system flexibility

Want to future-proof your data security?

¹ _{https://www.nist.gov/publications/zero-trust-architecture}
² _{https://www.microsoft.com/en-us/security/blog/2022/02/17/us-government-sets-forth-zero-trust-architecture-strategy-and-requirements/}
³ _{https://www.cio.com/article/3962906/why-81-of-organizations-plan-to-adopt-zero-trust-by-2026.html}
⁴ _{https://www.idwatchdog.com/education/-/article/insider-threats-and-data-breaches}
⁵ _{https://cloudsecurityalliance.org/artifacts/data-loss-prevention-and-data-security-survey-report}