Grounded Bundle
Fixes multi-source cases and evidence before analysis, leaving little room for the AI to invent facts.
Sentivex Evolution Engine
SEE turns a flood of security alerts into cases people can trust and act on. It fixes evidence first so the AI can't fabricate facts, and keeps both the analysis process and the analyst-facing screens so response stays trustworthy.
Capabilities
Fixes multi-source cases and evidence before analysis, leaving little room for the AI to invent facts.
Confirms IOC, CVE, and hashes by deterministic lookup instead of similarity, and leaves unknowns as unknown.
Turns on only the specialist lenses that fit the case, in parallel, analyzing just the perspectives needed.
Different model families merge conclusions and surface the points where they conflict.
Reviews false-clears, evidence gaps, and execution risk, and stops at the human approval boundary.
Cases hard to automate are turned into Agentic Tickets and handed to MDR/SOC for response.
Process
Operating Principles
SEE exists to reduce the cases people must look at, and to make the cases that need human judgment faster to understand. It separates the boundaries of fact collection, AI inference, and execution decision so analysis automation never encroaches on operational authority.
Raw events, IOCs, and internal evidence are fixed deterministically before the AI sees them.
Multiple expert perspectives analyze the same case and review each other's conclusions.
High-risk actions and uncertain calls stop at the HITL boundary and proceed only with human approval.
Confidence is used only as an internal routing signal; users see evidence and the handling flow.
Live / see_analysis_pipeline
Stage 1 fixes the case bundle deterministically; Stage 2 records multi-lens analysis, consensus, critic, HITL, reporting, and SIT conversion as one operational trace.
Consensus: 8 inconclusive, 3 suspicious, confidence 0.82 → HITL recommended
Processing Flow
Autonomous vendor-event analysis, 21+ parallel lenses, and the Decision Report are SEE's core operating structure.
Vendor incidents and alerts enter Sentivex Core as individual cases, undergo deterministic grounding, TI hunting, and AI-agent analysis, and are routed to their respective handling paths following a verdict and consensus.
After an incident or alert undergoes pre/post-processing and TI hunting, only the required specialist lenses are selected and run in parallel. The number of active lenses varies depending on the case — such as 2, 3, 6, 18, or 22.
A four-column tree structure where verification results pass through a human gate and report generation, and are ultimately issued as operational tickets.