The Brain Command Center is the intelligence hub of BrainstormMSP. It houses the Evolutionary Brain — an AI reasoning system that observes signals, orients context, decides actions, and acts with evidence. The brain learns from every outcome to improve over time.
Evolutionary Brain
What is the Evolutionary Brain?
The Evolutionary Brain is BrainstormMSP's core AI reasoning engine. Unlike static rule systems, it:
• **Learns from outcomes**: Every decision result feeds back into the brain
• **Adapts confidence**: Confidence scores adjust based on success/failure history
• **Evolves strategies**: Strategies that work well get reinforced; poor ones get deprioritized
The 5 Brain Tabs
1. **Overview** — High-level brain health, decision count, confidence distribution
2. **Decisions** — Timeline of all brain decisions with reasoning chains
3. **Remediation** — Auto-remediation actions taken and their outcomes
4. **Observatory** — Real-time signal and event stream
5. **Insights** — Learned patterns and trend analysis
OODA Loop
Observe → Orient → Decide → Act
Every 10 seconds, the brain runs an OODA cycle:
**Observe**: Collect signals from sentinels, edge agents, and connectors
**Orient**: Contextualize signals against tenant history, risk profile, and current state
**Decide**: Choose the optimal action using multi-LLM reasoning with confidence scoring
**Act**: Execute the chosen action (or request approval for high-risk actions)
Risk-Based Execution
|------------|----------|
Signal Processing
How Signals Flow
1. **Signal Created** — A sentinel, connector, or edge agent emits a signal
2. **Signal Classified** — The Signal Processor categorizes by severity, type, and domain
3. **Signal Enriched** — Context added from tenant history and knowledge base
4. **Signal Routed** — Sent to the appropriate agent(s) for action
Signal Types
• **Health signals**: System up/down, performance metrics
• **Security signals**: Threat detections, policy violations
• **Compliance signals**: Control pass/fail, evidence gaps
• **Operational signals**: Backup status, patch availability
Evidence Chains
What is an Evidence Chain?
Every brain decision creates a cryptographic evidence chain:
1. **Input Evidence** — The signals and data that triggered the decision
2. **Reasoning Trace** — The AI's step-by-step reasoning (preserved for audit)
3. **Action Taken** — What was executed
4. **Outcome Evidence** — The result of the action
Why Evidence Matters
• **Audit trail**: Full provenance for every automated action
• **Learning**: Outcome evidence feeds back into the brain
• **Compliance**: Evidence chains satisfy SOC 2 and CIS requirements
• **Accountability**: Every decision traceable to specific inputs
Learning System
How the Brain Learns
After every decision outcome:
1. **Outcome captured**: Success, partial success, or failure
2. **Confidence adjusted**: The brain updates confidence for similar decisions
3. **Strategy reinforced or weakened**: Successful strategies get higher priority
4. **Pattern stored**: New patterns added to the brain's knowledge base
Decision Boundaries
The brain maintains decision boundaries — learned thresholds that determine when to act vs. when to request approval. These boundaries evolve over time as the brain accumulates more outcomes.
Viewing Learning Progress
Go to **Brain > Insights** to see:
• Confidence trend over time
• Most-learned domains
• Strategy effectiveness rankings
• Decision boundary evolution
Completed!
You've completed the Brain Command Center guide. Ready to continue learning?