An AI That Learns from Every Outcome
39 agents with genuine OODA loops. Bayesian confidence from outcomes. Vector-embedded memory. Cross-tenant intelligence via k-anonymous skill federation.
Six Agency Criteria
Every agent must satisfy all six criteria to be considered genuinely agentic
Perception
Observes the environment through 42+ connectors, edge agents, and SIEM event lake
Reasoning
Embeds signals as 1024d vectors, retrieves similar past decisions, applies Bayesian confidence
Decision-Making
Risk-tiered autonomy: auto-execute LOW, confidence-gate MEDIUM, approve HIGH/CRITICAL
Action
Scoped ChangeSets with blast-radius assessment, DRY_RUN preview, tested rollback
Learning
Bayesian confidence updated from every outcome. Behavioral change tracked over time.
Communication
Evidence chain, PSA tickets, Observatory feed, cross-tenant skill federation
The Learning Loop
Every decision outcome makes the brain smarter
Signal Arrives
HIBP breach, Defender alert, edge anomaly — any of 65+ signal types
- Brain recalls: pgvector similarity search returns 5 most similar past decisions
- Confidence computed: Bayesian update from prior outcome: P(action | signal) with historical success rate
Action Executed
ChangeSet runs with DRY_RUN preview. Evidence sealed at each phase.
- Outcome recorded: success/failure/partial + metrics (time-to-remediate, user impact, blast radius)
- Pattern extracted: High-confidence patterns (95%+, 50+ successes) published via k-anonymous federation
Cross-Tenant Intelligence with k-Anonymity
When a pattern is proven in 3+ tenants, it becomes fleet intelligence. No tenant data is ever exposed — only the anonymized pattern and its confidence score.
- Local learning: Pattern discovered in Tenant A at 95%+ confidence
- Anonymization: Tenant-specific data stripped, k-anonymity check
- Publication: Pattern published to federation, 3+ tenants required
- Import: Tenant B imports at 70% confidence in SIMULATION mode
- Validation: Local data confirms pattern, confidence adjusts
- Production: Pattern promoted to production at full confidence
The Glass Wall
Full transparency into every decision. The Observatory shows what the brain is thinking, why, and what it learned.
Decision Stream
Real-time feed of every brain decision with confidence, risk level, and reasoning chain
Confidence Trends
Track how confidence evolves over time for each signal type and action combination
Memory Explorer
Browse the vector memory: search by similarity, see clusters, understand what the brain remembers
Brain FAQ
AI That Gets Smarter Every Day
39 agents learning from every outcome. Bayesian confidence. Vector memory. Cross-tenant federation. The brain that never stops improving.