Artificial intelligence is transforming the way organizations create, access, and share data. Employees are using AI assistants to summarize documents, developers are relying on coding copilots connected to source code repositories, and autonomous agents are retrieving information from business applications with little or no human involvement. Sensitive data now moves between cloud platforms, SaaS applications, endpoints, browsers, and AI systems faster than ever before.

This shift is creating enormous opportunities for innovation and productivity. It is also forcing security teams to rethink how they protect data.

For years, organizations have focused on securing where data lives and monitoring how it moves. AI has fundamentally changed that equation. Every interaction with an AI assistant, every file uploaded into a large language model, and every automated workflow creates another opportunity for sensitive information to be exposed if organizations do not understand what data they have and how it should be protected.

Security teams need enforcement. Visibility on its own does not stop anything. But enforcement is only as good as the understanding behind it, and no single vantage point provides that understanding alone. You need to know what a file is and what it means to the business, you need to know what has happened to it on the way to the moment of action, and you need to be able to stop that action while it is happening.

That is why Sentra and Bold Security have partnered.

Together, we are connecting Sentra's continuous intelligence about data at rest with Bold's real-time endpoint data security, so organizations can confidently embrace AI while reducing the risk of sensitive data exposure.

The AI Era Requires a Different Approach to Data Protection

Traditional security architectures were built around separate controls. One platform discovers sensitive data. Another manages access. Another monitors user activity. Endpoint protection attempts to prevent data from leaving managed devices. While each of these technologies solves an important problem, they often operate independently, using different definitions of sensitive data and different policy engines.

Artificial intelligence has exposed the limitations of this approach.

Employees no longer work exclusively inside managed applications. They collaborate with AI assistants, use browser-based copilots, interact with autonomous agents, and move information between cloud services throughout the day. AI systems do not distinguish between public information and confidential information. They simply process the data they are given and operate within the permissions they inherit.

As a result, organizations need a security strategy that answers two fundamental questions before a decision is made.

• Is this data sensitive?
• Should this action be allowed?

And then a third requirement sits behind both of them: can the organization act on the answer at the moment the action happens? Answering one question is not enough. Answering both and arriving after the upload has completed is not enough either. Confidence in the answer and the ability to act on it have to arrive together.

Visibility Alone Does Not Stop Anything. Enforcement Without Context Stops the Wrong Things.

Understanding sensitive data and protecting sensitive data are complementary challenges.

Organizations first need continuous visibility into their data estate. They need to discover sensitive information across cloud infrastructure, SaaS applications, databases, file shares, and on-premises environments. They need to classify that information accurately, understand its business context, identify who has access to it, and continuously monitor changes over time.

Once that understanding exists, organizations need the ability to act on it in real time.

When someone attempts to upload a document into an unsanctioned AI application, copy confidential information to a personal device, or share regulated data outside the organization, security controls must evaluate both the sensitivity of the information and the context of the action before deciding how to respond.

Organizations that focus only on visibility gain valuable insight but cannot always prevent risky behavior.

Organizations that focus only on enforcement often rely on pattern matching, manually maintained policies, or incomplete context, which can increase false positives, create unnecessary friction for users, and require constant policy tuning.

Modern data security requires both capabilities working together.

Bringing Data Intelligence and AI-Powered Protection Together

The Sentra and Bold partnership combines two complementary technologies that address different stages of the modern data security lifecycle.

Sentra continuously discovers, classifies, and governs sensitive data across cloud infrastructure, SaaS applications, databases, and on-premises environments. Rather than providing a point-in-time inventory, Sentra continuously maintains an accurate understanding of an organization's sensitive data, including:

• Data classification and sensitivity labels
• Data owners and business context
• User and AI access permissions
• Data exposure and risk posture
• Compliance and governance requirements

This continuous intelligence creates a trusted foundation that other security controls can use to make better decisions.

Bold extends that intelligence to the endpoint by running AI locally on the device to understand data by meaning and analyze behavior and user intent. Plus, because Bold is running where data is moving, it can enforce policy at the moment data is moved. When someone attempts to upload a document into an AI assistant, copy sensitive information, share a confidential file, or move regulated data outside approved channels, Bold can evaluate the action and respond immediately by coaching the user, redirecting them toward an approved workflow, requesting additional justification, or blocking the action entirely.

Rather than operating independently, the two platforms complement one another.

Sentra provides the intelligence that explains what the data is, why it matters, and how sensitive it is. Bold uses that intelligence to make smarter protection decisions at the exact moment the data is being used.

What the Partnership Delivers

Together, Sentra and Bold enable organizations to move beyond traditional DLP by combining continuous data intelligence with real-time protection.

• Classification that improves endpoint decisions

Endpoint policies become far more effective when they are informed by continuously updated classifications and sensitivity labels, including the custom classifiers Sentra learns from each customer's own data, instead of relying only on pattern matching or manually maintained rules.

• Enforcement that reflects real business risk

Decisions can incorporate context from both platforms:

• • Data owner and business function
  • Sensitivity level and classification, including company-specific data types
  • Exposure risk and access permissions
  • Where the data came from and what has happened to it on the device
  • User intent at the moment of the action
  • Regulatory requirements

This lets organizations apply protection that is proportional to the actual risk.

• AI data governance

Organizations gain confidence that sensitive information stays protected as employees interact with generative AI applications, copilots, and autonomous agents, and as data moves to browsers, personal accounts, removable media, and unmanaged applications.

• End-to-end coverage

Together, Sentra and Bold cover cloud infrastructure, SaaS applications, databases and data warehouses, on-premises data stores, endpoints, browsers, and AI assistants and agents. Instead of treating each environment as a separate security problem, organizations get a consistent view of sensitive data wherever it lives and wherever it is used.

A Real-World Example

Imagine a financial analyst preparing a quarterly business review. The spreadsheet includes customer financial information, revenue projections, and strategic planning data that has already been discovered, classified, and labeled by Sentra as highly sensitive.

To speed up the process, the analyst attempts to upload the file into an unsanctioned generative AI application to create charts and executive summaries.

Without centralized data intelligence, an endpoint tool has to determine sensitivity from the file alone. What it can't see is everything the organization already established about that file: who owns it, who has access, and how exposed it is.

With Sentra and Bold working together, that context already exists.

Sentra has already identified the sensitivity of the file, its owner, who has access to it, its exposure level, and the associated business risk. When the upload begins, Bold immediately evaluates both the sensitivity of the data and the user's intent before determining the appropriate response.

Depending on organizational policy, Bold can:

• Guide the user toward an approved AI application.
• Redirect the workflow to a sanctioned environment.
• Request additional justification.
• Prevent the upload if it violates company policy.

The result is a smarter security decision that protects sensitive information while minimizing unnecessary disruption for employees.

Business Benefits for Joint Customers

As organizations adopt AI at scale, they need security solutions that enable innovation rather than slow it down. By combining Sentra's continuous data intelligence with Bold’s real-time endpoint data security, organizations gain a more complete approach to protecting sensitive data throughout its lifecycle.

Improve Endpoint Policy Accuracy

Endpoint protection becomes significantly more effective when policies are based on continuously updated data classifications and sensitivity labels instead of relying exclusively on pattern matching or static rules. Security teams spend less time tuning policies while users experience fewer unnecessary interruptions.

Make Smarter Decisions with Rich Context

Every security decision benefits from a deeper understanding of the data itself.

Together, Sentra and Bold can incorporate contextual information such as:

• Data owner
• Sensitivity classification
• Access permissions
• Exposure level
• Business criticality
• Compliance requirements
• Organizational risk

This additional context allows organizations to apply security controls that are proportional to the actual business risk.

Strengthen AI Governance

AI adoption continues to accelerate across every department. Organizations need confidence that employees and AI agents are interacting with sensitive data responsibly.

Together, Sentra and Bold help organizations:

• Protect sensitive information shared with AI assistants.
• Govern data access of agents.
• Reduce Shadow AI risk.
• Support responsible AI adoption across the enterprise.

Create a Unified Data Security Architecture

Instead of managing disconnected security controls across multiple environments, organizations gain a more connected approach that spans:

• Cloud infrastructure
• SaaS applications
• Databases
• File shares
• Endpoints
• AI assistants
• Autonomous AI agents

This unified model reduces operational complexity while improving overall security effectiveness.

Why This Partnership Matters

The partnership between Sentra and Bold is built on a simple principle.

Organizations should not have to choose between understanding their data and protecting it.

Sentra provides continuous visibility into sensitive data across the enterprise, helping organizations understand what information they have, where it resides, who can access it, and how exposed it may be.

Bold ensures that this intelligence can be acted upon in real time by evaluating user behavior at the endpoint and applying the appropriate security response before sensitive data leaves the device.

Together, organizations gain a more intelligent security model where discovery, classification, governance, and enforcement reinforce one another instead of operating independently.

Key Takeaways

✔ Continuous data intelligence creates the foundation for better security decisions.

Sentra continuously discovers, classifies, labels, and governs sensitive data across cloud, SaaS, databases, and on-premises environments.

✔ Context improves enforcement.

Bold leverages Sentra's classifications, sensitivity labels, ownership information, and risk context to make more informed endpoint protection decisions.

✔ Organizations can confidently adopt AI.

Together, the two platforms help organizations protect sensitive information across AI assistants, copilots, and autonomous agents while supporting responsible AI adoption.

✔ Security becomes more consistent across the enterprise.

Instead of maintaining separate definitions of sensitive data across different security products, organizations can leverage a consistent intelligence layer that informs protection everywhere.

✔ Users experience less friction while security teams gain stronger protection.

Better context means fewer false positives, more accurate policies, and a better balance between security and productivity.

Looking Ahead

AI is changing enterprise data faster than security architectures were originally designed to handle. Sensitive information now flows continuously between cloud platforms, SaaS applications, endpoints, browsers, and AI systems, making it increasingly important for organizations to understand not only where their data resides but also how it is being used.

Meeting this challenge requires more than visibility alone, and it requires more than enforcement alone. Organizations need continuous intelligence about their sensitive data combined with the ability to act on that intelligence in real time.

That is the vision behind the partnership between Sentra and Bold.

Sentra provides the continuous data intelligence that helps organizations discover, classify, label, and govern sensitive data across their environments. Bold extends that intelligence to the endpoint, enabling organizations to make context-aware decisions that protect sensitive information before it leaves the device.

Together, we are helping organizations build a modern data security architecture that connects cloud, SaaS, AI applications, and endpoints into a unified strategy for protecting sensitive information.

Reach out to Sentra or Bold Security to discuss what this looks like for your data and your endpoints.