New in Safetica: AI Data Security That Responds to Context

Someone on your team pasted three pages of a client proposal into an AI assistant this morning. Unless you have the right controls in place, you may not know what was shared, who sent it, or whether it created risk. That is the challenge AI data security needs to solve.

Security teams need to protect sensitive data without preventing people from using the AI tools that help them work.

Today we are introducing Safetica AI Protection, designed to remove that tradeoff. You can protect sensitive data from reaching these tools without blocking your team from using them. Safetica gives security teams the context to assess risk and respond appropriately.

Gain control without blocking AI tool access

AI Protection gives security teams visibility into AI activity and the sensitive data moving through it, plus controls to protect that data while people keep working.

With Safetica, security teams can:

• See which AI tools your organization uses. Approved or not, you get one view of the applications in play.
• Follow the data, not just the tool. See what sensitive information moves, who sends it, where it lands, and what it is being used for.
• Step in before the prompt lands. DLP policies cover files, pasted text, prompts, and the user actions that put data at risk.
• Set rules that match the situation. Policy reads the application, the sensitivity of the data, the person, the department, and the action itself.
• Investigate with enough context to decide. Instead of shutting AI down, you look at what actually happened and choose a response that fits it.

Those five capabilities arrive in two layers. AI Governance covers your AI environment as a whole. Data Policies for AI Assistants covers the individual interaction, at the moment it happens.

AI Governance: see which AI tools are in use, and what reaches them

Most organizations can name two or three AI tools in use. Others may arrive without procurement review.

AI Governance gives security teams a centralized view of approved and shadow AI applications, including who uses them, how often they are accessed, and the controls in place.

Visibility then turns into control. You can monitor activity, restrict sensitive data sharing, limit access for specific users or groups, or block a risky tool entirely. The response is yours to set.

Investigation works the same way. Embedded, AI-guided prompts let you explore usage and risk, summarize findings, and identify actions that strengthen protection. You ask what changed this month instead of building a report to find out.

Stop AI data leakage before it reaches the assistant

AI Governance shows you which tools are in use and where data-sharing activity may create risk.

Safetica applies DLP policies to help control sensitive file uploads and, where supported, pasted text and prompts shared with ChatGPT, Claude, and Microsoft Copilot.

Sensitive data can reach an AI assistant through a file upload, pasted text, or a typed prompt. Each route needs the right controls.

Protection follows the work rather than the tool. It holds across supported desktop applications and Chromium-based browser experiences on macOS and Windows, so a team that switches from the desktop app to a browser tab stays covered.

The goal is to protect sensitive data while allowing legitimate AI use to continue. Both layers run inside the Safetica Platform. AI becomes another data path you govern alongside email, cloud, and endpoint, in the same console and with the same context.

You might also like: What an AI Data Security Platform Should Do: Protect More, Disrupt Less

Context-aware security: AI data security that fits the action

Granular control is the part that makes the rest usable. Context-aware security means the same action can get a different response depending on what surrounds it.

Safetica evaluates five factors when a policy is applied:

1. AI application. A sanctioned enterprise assistant and an unreviewed tool can carry different rules.
2. Data sensitivity. A public brochure and an unreleased contract are treated differently.
3. User. Access reflects the individual, not a blanket setting.
4. Department. Legal, finance, and engineering rarely need identical policies.
5. Activity. Uploading a file, pasting text, and typing a prompt are separate actions with separate risk.

With this context, teams can restrict the data-sharing action that creates risk instead of blocking the assistant outright.

The same logic applies to investigation. When something surfaces, you have the context to determine the appropriate response rather than cutting off AI access entirely. You see the application, the data, the person, and the action, then decide what it actually warrants.

This is AI data security guided by context: fewer blanket rules, less disruption for users, and a clear rationale for each response.

Frequently asked questions

Can Safetica protect sensitive data without blocking access to AI?

Yes. Controls are set by data sensitivity, AI application, employee, department, and specific user action. That means you can restrict a risky data-sharing action without cutting off access to the assistant itself. The interaction continues. Only the part carrying sensitive data gets stopped.

Can Safetica identify shadow AI use?

Yes. AI Governance maintains a centralized view of approved and shadow AI applications across your organization. You see which tools are in use, how often they are accessed, and what data reaches them, which is usually where the unreviewed tools surface first.

Which AI assistants does Safetica protect, and does it work in the browser?

Safetica supports DLP controls for supported AI assistants, including ChatGPT, Claude, and Microsoft Copilot. Available controls vary by operating system, browser, and interaction, so confirm the current product documentation before publishing this list.

Proactive data security starts with understanding

AI is already part of how your team works. The question is no longer whether to allow it, but whether you can see enough to make a good decision about it.

Proactive data security means acting on context before data moves, not reviewing a log after it did. Safetica AI Protection gives you visibility into AI activity, the context to tell real risk apart from routine work, and the control to protect sensitive data without slowing anyone down.

See how Safetica AI Protection works.