Sentra and Bold Security Partner on AI Data Security

The partnership combines AI Data Readiness with AI-native endpoint data protection to help organizations confidently secure sensitive data across cloud, SaaS, endpoints, and AI applications.

AI is fundamentally changing how organizations create, access, and share data. Employees use AI assistants to summarize documents, developers rely on coding copilots, and autonomous AI agents retrieve information across enterprise applications. These technologies are accelerating innovation and productivity, but they are also creating new pathways for sensitive data exposure.

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To help organizations securely embrace AI, Sentra, the AI Data Readiness Platform, and Bold Security, the real-time endpoint data protection platform, today announced a strategic technology partnership that combines continuous data intelligence with risk-based endpoint enforcement. Together, the companies enable organizations to understand what sensitive data they have, who and what AI can access it, and how to protect it whenever it is used.

The partnership addresses a critical gap in modern data security. Many organizations have invested in tools that discover and classify sensitive data, while separate security controls monitor data activity and prevent exfiltration on the endpoint. Because these technologies often operate independently, security teams lack the full context they need to make accurate, risk-based decisions.

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The two companies work in different places and see different things. Sentra runs ephemeral scanners inside the customer’s own cloud, SaaS, and database environments, classifying at petabyte scale without data leaving those environments, learning each organization’s proprietary data so classification reflects that business rather than generic patterns, and mapping which people and AI systems can reach it. Bold runs AI locally on the endpoint to classify data by meaning, follow how it changes and moves on the device, read user intent, and coach or block in real time, all without data leaving the laptop.

Combining the two gives organizations a unified approach to classification and enforcement. Decisions are informed by the actual sensitivity, ownership, exposure, and business value of the data, and by what is happening to that data at the moment of the action, rather than by keywords or content patterns.

How the Joint Solution Works

Sentra continuously discovers, classifies, and governs sensitive information across cloud infrastructure, SaaS applications, databases, file shares, and on-premises environments. The platform continuously maintains an accurate understanding of data sensitivity, ownership, access permissions, exposure levels, and governance requirements as environments evolve.

Bold extends that intelligence to the endpoint. Bold runs AI locally on the device to understand data by meaning and analyze behavior and user intent. So when a user attempts to upload sensitive information into an AI assistant, copy confidential files, or share regulated information outside approved channels, Bold evaluates the action using the rich context provided by Sentra before determining the appropriate response. Depending on organizational policy, Bold can educate the user, redirect the workflow to an approved application, request additional justification, or block the action entirely.

Integrated Intelligence for Better Security Decisions

The integration enables Bold to consume Sentra’s continuously updated data intelligence, including data classifications, sensitivity labels, ownership metadata, exposure risk, access permissions, and governance context. This shared intelligence allows endpoint policies to make decisions based on the actual business risk associated with the data rather than relying exclusively on pattern matching or static rules.

It allows organizations to answer three questions with confidence:

• What data is being accessed, and what does it mean to the business?
• Who or what AI system has access to it?
• Should this action be allowed?

As a result, organizations can significantly improve endpoint policy accuracy, reduce false positives, minimize unnecessary interruptions for employees, and simplify policy management for security teams.

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Customer Use Case

Consider a financial analyst preparing a quarterly business review that contains customer financial information, revenue forecasts, and strategic planning data. Sentra has already identified the spreadsheet as highly sensitive, assigned ownership information, evaluated its exposure level, and determined the associated business risk.

When the analyst attempts to upload the spreadsheet into an unsanctioned generative AI application, Bold immediately evaluates the request using Sentra’s intelligence. Instead of relying on keywords or regular expressions alone, Bold understands the sensitivity of the information, the user’s permissions, the business context, and the organization’s security policies before determining the appropriate response.

Based on those policies, Bold can guide the user toward an approved AI application, redirect the workflow, request additional business justification, or prevent the upload entirely. This approach protects sensitive information while minimizing unnecessary disruption to employee productivity.

Executive Quotes

Yair Cohen, Chief Product Officer, Sentra

“AI has fundamentally changed how organizations interact with their most valuable asset: their data. Visibility alone is no longer sufficient, and enforcement without context creates unnecessary friction. Our partnership with Bold combines AI Data Readiness with AI-native endpoint protection so organizations can confidently adopt AI while ensuring sensitive information remains protected wherever it is used.”

Nati Hazut, Co-Founder and CEO, Bold Security

“Every security decision is only as good as the intelligence behind it. By integrating Sentra’s continuous data intelligence into Bold’s real-time endpoint data protection engine, we enable organizations to make smarter security decisions that improve protection without ever blocking legitimate work or slowing employee productivity. This partnership represents the future of data security in the enterprise.”

Key Benefits for Customers

Organizations using the combined solution can:

• Improve endpoint policy accuracy through continuously updated data classifications.
• Make context-aware enforcement decisions based on data sensitivity, ownership, exposure, permissions, and business context.
• Reduce Shadow AI risk by protecting sensitive information shared with AI assistants and autonomous agents.
• Strengthen AI governance across cloud, SaaS, endpoints, browsers, and AI applications.
• Reduce false positives while improving the employee experience.
• Simplify security operations through consistent data intelligence and policy enforcement.
• Accelerate secure AI adoption across the enterprise.

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