Anexet's AI Server processes DLP and policy incidents automatically: it assigns statuses, filters out low-risk alerts so analysts only see genuinely dangerous events, and generates concise summaries inside the intercepted-data viewers. All inference runs on-premise or on a local model inside your perimeter — no content leaves your network.
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When DLP systems generate hundreds of policy hits per shift, real threats get buried under noise — AI-powered triage is the only practical way to keep analysts focused on what matters.
Security operations teams waste hours each day triaging low-value alerts. When DLP systems generate hundreds of policy hits per shift, real threats get buried under noise. Anexet's AI incident analysis layer is built specifically to reduce that toil: instead of asking analysts to read through every flagged message, document, or file transfer, the AI Server post-processes incidents in the background and presents only the ones that warrant human attention.
This is not an AI-first product. Anexet is an on-premise DLP and employee monitoring system. The AI Server is a targeted accelerator that sits on top of the interception, search, and policy engine — the same one that captures email, messengers, cloud uploads, USB transfers, and print jobs across all channels. What the AI does is reduce the manual effort required after capture: automatic status assignment, plain-language summaries, and multimodal analysis of files and messages that contain both text and images.
Because the entire system is deployed inside your own infrastructure, your intercepted data stays there. You choose the AI model — cloud-connected or a locally hosted model operating entirely within your perimeter. The security team configures the context the model receives, so analysis reflects your organization's specific policies, terminology, and risk thresholds, not a generic out-of-the-box prompt.
Low-risk hits are resolved automatically; analysts see only events the AI classifies as potentially dangerous.
AI-generated summaries in the viewer tell an analyst what was communicated, what policy fired, and what the risk is — before they read the raw content.
Inference runs inside your perimeter. Scinero Software Limited has no access to your data at any point.
Every capability below is part of the Premium plan, which includes Anexet DLP, Anexet Activity, Anexet Inventory, and Anexet Ultimate.
The AI Server evaluates each policy-fired incident and sets a status — reviewed, pending, or dismissed — without manual intervention, so the queue reflects real outstanding work rather than every raw hit.
Incidents assessed as low-risk are filtered out before they reach the analyst's queue; notifications are escalated only for events the model classifies as potentially dangerous.
The Client Console and Administrator Console expose metrics on AI processing volume — documents processed, incidents summarised, auto-statuses assigned — so administrators can monitor load and tune configuration over time.
When an analyst opens a flagged incident, the viewer displays the intercepted content alongside an AI-generated summary: what was communicated, which policy triggered, and a short risk assessment — cutting assessment time from minutes to seconds.
The AI model analyses not only plain text from emails and messages but also attached files and documents in other formats, so flagged archives, image-embedded documents, and mixed-format attachments receive the same AI treatment as a plain email body.
Security administrators provide the AI model with additional context — company-specific policies, classification terms, department names, sensitivity labels, or instructions about what constitutes a violation — narrowing analysis to what matters and reducing context-blind false positives.
Anexet supports both cloud-connected AI models and locally hosted models running entirely within your network perimeter. Organizations that cannot allow data transfer to external services — government, financial, defense-adjacent — can run inference on-premise with no internet dependency.
The AI Server is a Premium-only module and is not sold as a standalone add-on. Confirm specifics during a demo if you are evaluating whether it addresses your alert-volume challenge.
The AI Server runs on your own servers alongside the rest of the Anexet deployment. Each incident that fires a security policy enters the AI Server's processing queue, where the model evaluates content using the rules, labels, and administrator-configured context specific to your organization. Status assignment and summarisation happen entirely within your infrastructure — no content is sent to Scinero or any external party.
Anexet is deployed on-premise; the vendor has no access to your data. For organisations that require air-gapped or perimeter-bound inference, the locally hosted model option operates with no internet dependency whatsoever. If you connect a cloud AI model, data goes to that provider under your own configuration and agreement — Scinero has no visibility into either path.
Four steps from a policy hit on the endpoint to a triaged, summarised incident ready for analyst action.
Capture and policy match — endpoint agents intercept data across all configured channels; the Security Policies module evaluates each item and generates an incident when a rule fires.
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AI Server post-processing — each new incident enters the processing queue; the model assigns a preliminary status, marks low-risk hits as resolved, and escalates genuinely concerning incidents for analyst review.
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Summarised incidents in the Client Console — the viewer displays intercepted content alongside an AI-generated summary of what was communicated, which policy triggered, and a short risk assessment; the analyst can accept, override, or escalate.
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Statistics and tuning — the Administrator Console's Status Monitor shows AI Server metrics; administrators refine the configurable context field to improve accuracy, adjust sensitivity, and add company-specific examples over time.
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Capture and policy match — endpoint agents intercept data across all configured channels; the Security Policies module evaluates each item and generates an incident when a rule fires.
1
AI Server post-processing — each new incident enters the processing queue; the model assigns a preliminary status, marks low-risk hits as resolved, and escalates genuinely concerning incidents for analyst review.
2
Summarised incidents in the Client Console — the viewer displays intercepted content alongside an AI-generated summary of what was communicated, which policy triggered, and a short risk assessment; the analyst can accept, override, or escalate.
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Statistics and tuning — the Administrator Console's Status Monitor shows AI Server metrics; administrators refine the configurable context field to improve accuracy, adjust sensitivity, and add company-specific examples over time.
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Common questions about Anexet's AI incident analysis and automated alert triage.
The AI Server post-processes incidents that fire security policies. It assigns statuses automatically, filters out low-risk hits before they reach the analyst's queue, and generates plain-language summaries inside the intercepted-data viewers in the Client Console. The result is fewer manual triage steps and faster response to genuine threats. This capability is available on the Premium plan.
Both options are supported. You can connect a cloud-hosted AI model or run a locally hosted model entirely within your own network perimeter. For organizations that cannot transfer intercepted data outside their infrastructure — banking, government, defense — the local on-premise model operates with no internet dependency. Anexet is deployed on-premise; the vendor has no access to your data.
No. Scinero Software Limited has no access to your data at any point. The system is deployed on your own servers. If you use an on-premise AI model, analysis happens entirely within your perimeter. If you connect a cloud AI model, data goes to that provider under your own configuration and agreement — Scinero has no visibility into either path.
The AI Server is a Premium-only feature. It is not available on Standard or Advanced. Premium includes Anexet DLP, Anexet Activity, Anexet Inventory, and Anexet Ultimate — a full 3-in-1 deployment. Pricing is available on request; there is no published price list.
Yes. Administrators configure a context field in the Administrator Console that is passed to the AI model with each analysis request. You can include your organization's sensitivity classification terms, policy descriptions, department names, and instructions about what constitutes a violation in your environment. This reduces generic false positives and improves relevance for your specific use case.
No. The AI Server is designed to reduce toil, not replace judgement. It handles status assignment and initial triage automatically so analysts spend less time on noise. Final decisions — escalation, investigation, regulatory action — remain with your security team. The Investigations module (also Premium) provides the structured case management environment where analysts work with incidents the AI has escalated.
The AI Server processes incidents generated by security policies across the channels Anexet monitors: email, messengers, web, cloud, USB, print, and others. Multimodal analysis covers text and file attachments in supported formats. Specific channel coverage is confirmed during the demo based on your deployment configuration.
Tell us about your alert volume and the channels you monitor — we'll show you how the AI Server handles triage and arrange a demo or a free trial of Anexet Ultimate.
