Multi-source event ingestion
Explore streams from security, identity, DNS, network access, and infrastructure sources.
Explore a security intelligence platform that brings streaming events, entity context, and AI-assisted investigation together.
Research & developmentAegiumIntel is a development and research project for understanding activity across identity, endpoints, networks, and security tools. Its goal is to turn separate events into contextual evidence an analyst can investigate.
DESIGNED AROUND
Security analysts · Detection engineers · Threat researchers · Security operations teams
Explore streams from security, identity, DNS, network access, and infrastructure sources.
Connect events to users, devices, and related activity so analysts can examine a coherent sequence.
Combine explicit detection logic with statistical and machine-learning approaches to surface useful patterns.
Explore retrieval and language-model assistance to explain evidence and suggest investigation steps.
Bring immediate signals and retained context into the same analytical workflow.
Evaluate data quality, detection behavior, false positives, and reproducibility as capabilities mature.
This project includes architecture, generated components, and experimental streams. Some examples use simulated or placeholder inputs. Production connector coverage, detection quality, and deployment readiness are not established.
SOC assistance, graph-based investigations, richer cross-source correlation, and explainable anomaly detection.