Understand
Identifies the question, request origin and the user’s Decision Context.
Argus Intelligence Engine
AIEData becomes an explanation.
AIE receives the context authorized by the platform, retrieves the required knowledge and builds understandable answers aligned with both the question and the role of the person asking it.
Product Knowledge
Decision Context
Authorized data
Validateted sources
Contextual answer
“These are the systems that require attention and the evidence that explains why.”
01 Understands the request02 Retrieves knowledge03 Builds context04 Validatetes the answer
A controlled pipeline
Intelligence starts from context, not improvisation.
AIE is the single access point for the platform’s AI capabilities. It selects sources made available by the backend, prepares the context and verifies that each answer stays within the scope of the request.
01The question
Check whether any systems currently have alerts
02AIE answered
A structured answer with verified facts, interpretation, limits and the scope of the evidence.
Open the complete answer
Retrieve
Consults only the information sources authorized for that workflow.
Build
Organizes information and constraints before querying the AI provider.
Validate
Checks format, consistency and references before returning the answer.
Assisted configuration
From question to configuration without losing control.
AIE consults Argus documentation and turns it into clear, ordered operating instructions. Technicians receive the steps to follow, options to evaluate and guidance needed to complete the configuration.
The question
How can I enable Watchdog for an endpoint?
AIE organizes the procedure
It explains where to work, which levels to choose, how to manage events and notifications and when to save.
Documentation-guided instructions. No automatic changes.
One engine, multiple contexts
The same question changes meaning depending on who asks it and where.
AIE adapts sources and depth to the surface where it is used. Runtime data is never exposed to the public website.
Explains Argus to people discovering the product.
Answers product questions using the official Product Knowledge Base.
- No endpoint access
- No company operational data
- Answers based on publishable documentation
Helps technicians interpret authorized context.
In the Monitor it can work with sources the backend makes available to the user and visible endpoints.
- Permissions and company boundaries always respected
- Context selected by the platform
- Analysis accompanied by limits and evidence
Start with a question
The first interaction with Argus is already a conversation.
The home page lets visitors ask what the solution can do, how a capability works or what value it can bring to a particular scenario.
- Questions in natural language
- Structured, readable answers
- Insights linked to product features
- Feedback to improve quality
Reliability first
AIE interprets and assists. It does not replace policies or responsibilities.
The engine does not access databases autonomously, execute operational actions or change configurations. Argus components continue to govern sources and actions.
Selected knowledge
Every source is made available through a controlled provider.
Permissions respected
Context never expands the visibility already granted to the user.
Explicit limits
When information is insufficient, the answer must say so explicitly.
Replaceable provider
The architecture keeps the Argus engine separate from the model provider.
No autonomous action
Operational decisions remain within platform workflows and policies.
Reasoned answers
The goal is to explain why, not return an isolated conclusion.
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