Normalize at ingress
One event contract keeps downstream analysis independent from source-specific formats.
INDEPENDENT PROTOTYPE / FDE + CYBERSECURITY
Aegis Fusion.
A working incident intelligence workbench that turns fragmented synthetic telemetry into correlated, explainable, and prioritized response decisions.
STATUSFUNCTIONAL / SYNTHETIC DATASCOPEDESIGN / IMPLEMENTATION / SECURITY
01 / PROBLEM
Identity, endpoint, API, and network alerts arrive without a shared operational context.
02 / SYSTEM
Normalize events, correlate entities, explain risk, and surface the next safe action.
03 / SECURITY
Use synthetic evidence, minimal retention, explicit trust boundaries, and auditable decisions.
OPERATIONAL VIEW / INCIDENT FUSION
Prioritized response queue
VISIBLE04
AVG RISK81
SOURCES05
SYSTEM ARCHITECTURE / CONTROL PLANE
From signal to defensible action.
Every boundary has one job: reject malformed input, preserve provenance, minimize exposed data, and keep priority explainable to the operator.
- IN-01Source FeedsIdentity / endpoint / API
- TR-01Validation GatewaySchema and trust checks
- PR-01NormalizationShared event contract
- DT-01Event StoreMinimal evidence record
- AN-01Entity CorrelationUser / device / service
- AN-02Risk EngineExplainable priority
- GV-01Audit TrailDecision provenance
- GV-02Policy ControlsLeast privilege rules
- OP-01Response QueueAnalyst action layer
INPUTTRUST BOUNDARYANALYSISACTION
ENGINEERING DECISIONS
Small surface. Clear reasoning.
Score with evidence
Risk combines severity, confidence, source count, and entity relationships without a hidden black box.
Minimize retained data
The prototype stores only the fields needed to explain and prioritize an incident.
Design for operators
The response queue emphasizes the next decision rather than exposing raw telemetry first.
PROJECT STATUS / INDEPENDENT PROTOTYPE