Anexet can block employees from uploading files or pasting text into ChatGPT, Microsoft Copilot, Google Gemini, and other AI web services and desktop apps. Blocking Policies are available from the Advanced plan; whether preset rules already cover your target AI services is confirmed during the demo. Anexet is deployed on-premise; the vendor has no access to your data.
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Employees paste contracts into ChatGPT and upload spreadsheets to Gemini without realising data has just left the corporate perimeter.
Generative AI tools have become one of the fastest-growing data-leak channels inside organizations. An employee pastes a contract draft into ChatGPT, uploads a spreadsheet to Gemini, or asks Copilot to summarize a confidential strategy document — and sensitive data leaves the corporate perimeter in seconds, without any awareness that a violation is occurring.
Anexet addresses this through its Blocking Policies module. Rather than relying on employee awareness, the system intercepts the attempt at the network and process level before the data reaches the external service. When a rule fires, the transfer is stopped, the incident is logged in the Client Console, and the security team receives an alert. The employee sees a block notification; the data stays inside.
Because Anexet is deployed entirely on-premise, the blocking rules, intercepted data, and incident logs never leave your infrastructure. There is no cloud relay, no vendor processing pipeline, and no third-party visibility into what your organization is protecting.
Interception happens at the network and process level on the endpoint — the data never reaches the AI service.
Every blocked attempt is recorded in the Client Console with the employee, timestamp, channel, and the rule that fired.
All blocking rules, intercepted data, and incident logs remain inside your infrastructure — Scinero has no visibility into them.
The following blocking actions are available under the Blocking Policies module. Whether preset rules for specific AI services are included is confirmed during the demo. Custom rules let you extend coverage to additional services or tighten conditions.
Blocks HTTP(S) file transfers to AI service domains via Blocking Policies. Preset coverage for ChatGPT, Copilot, and Gemini is confirmed during the demo.
Clipboard-based blocking policy intercepts paste events directed at AI service browser tabs and desktop apps, preventing employees from pasting sensitive text into AI prompts.
Prevents screen captures when an AI web service or its desktop app is the active window, reducing the risk of screen-based exfiltration.
Network traffic blocking for AI-service domains can be applied at the process level, preventing the browser or desktop app from reaching those endpoints at all.
Blocking Policies can target desktop AI applications, not only the web versions. Confirm specific app coverage during the demo.
Fires only when the intercepted file or text matches a known sensitive object — digital fingerprints, hash banks, thesauri, or confidentiality labels. Allows AI use for non-sensitive work while blocking protected data.
All Blocking Policy tiers require Advanced as the minimum plan. Content-aware blocking (fingerprints, hashes, labels) is Premium-only. Preset AI-service rule coverage is confirmed during the demo.
The Anexet agent on the employee's workstation intercepts outbound HTTP(S) traffic and clipboard activity in real time. When a Blocking Policy rule matches, the transfer is stopped immediately on the endpoint before the data reaches the external AI service. The incident is recorded in the Client Console with the employee's name, timestamp, channel, the data involved, and the rule that fired.
Blocking is enforced entirely on-premise, by the Anexet agent on the workstation and the servers your organization operates. No traffic passes through Scinero's infrastructure. In Premium deployments, incident records can be exported to a SIEM for correlation with other security events.
Four steps from an outbound attempt to a controlled, auditable record.
The Anexet agent on the workstation intercepts outbound HTTP(S) traffic and clipboard activity in real time, before the data reaches the external AI service.
1
The Blocking Policies engine compares the intercepted event against active rules — preset AI-service domains and transfer patterns, plus any custom rules layered on top.
2
When a rule matches, the transfer is stopped immediately. A blocking event is recorded in the Client Console with the employee, timestamp, channel, and the rule that fired.
3
The security team receives an instant alert. In Premium deployments, the incident record can be exported to a SIEM for correlation with other security events.
4
The Anexet agent on the workstation intercepts outbound HTTP(S) traffic and clipboard activity in real time, before the data reaches the external AI service.
1
The Blocking Policies engine compares the intercepted event against active rules — preset AI-service domains and transfer patterns, plus any custom rules layered on top.
2
When a rule matches, the transfer is stopped immediately. A blocking event is recorded in the Client Console with the employee, timestamp, channel, and the rule that fired.
3
The security team receives an instant alert. In Premium deployments, the incident record can be exported to a SIEM for correlation with other security events.
4
Common questions about blocking data leaks to AI tools with Anexet.
Yes. Anexet's Blocking Policies module includes preset rules that block file uploads and text transfers to AI web services including ChatGPT. You can also block access to the service's web domain entirely at the process level, preventing the browser from reaching it. This capability is available from the Advanced plan. Confirm exact service coverage during the demo.
Preset rules target the most widely used AI web services and desktop AI applications. The exact list is confirmed during the product demo, as it is maintained and updated by Scinero Software Limited. Custom rules allow you to extend coverage to any additional AI service or domain not included in the presets.
Blocking is enforced entirely on-premise, by the Anexet agent on the employee's workstation and the servers you operate. No traffic passes through Scinero's infrastructure. Anexet is deployed on-premise; the vendor has no access to your data.
Blocking Policies are available from the Advanced plan and included in Premium. The Standard plan includes interception and logging but does not include blocking. The exact minimum plan for specific AI-service preset rules should be confirmed during the demo.
Yes, in the Premium plan. Content-aware blocking using digital fingerprints, hash banks, thesauri, and confidentiality labels fires only when the intercepted file or text matches a known sensitive object. This allows employees to use AI tools for non-sensitive work while blocking transfers that involve protected data. This capability is Premium-only; confirm during the demo.
Yes. Agents run on Windows, Linux, and macOS including ARM64. Blocking policies apply across all supported platforms. Server components run in a Linux environment. No mobile agents are available.
Tell us which AI tools your teams use and which data you need to protect — we'll map it to the right plan and arrange a demo or a free trial of Anexet Ultimate.
