Autonomous Safety Layer

The Autonomous Safety Layer is CertusOrdo's core competitive advantage — a five-engine system that transforms AI agent transactions from "hope it works" to "guaranteed safe or auto-corrected."

Architecture

┌─────────────────────────────────────────────────────────────────────────┐
│                    AUTONOMOUS SAFETY LAYER                              │
│                                                                         │
│   Agent Output → Validate → Decide → Correct → Notify → Learn          │
│                                                                         │
├──────────────┬──────────────┬──────────────┬──────────────┬─────────────┤
│ 1.VALIDATOR  │ 2.DECISION   │ 3.CORRECTION │ 4.NOTIFIER   │ 5.LEARNER   │
│   ENGINE     │   ENGINE     │   ENGINE     │   ENGINE     │   ENGINE    │
│  ✅ COMPLETE │  ✅ COMPLETE │  ✅ COMPLETE │  ✅ COMPLETE │   ⏳ TODO    │
└──────────────┴──────────────┴──────────────┴──────────────┴─────────────┘

The Problem We Solve

Traditional authentication: "Is this agent who it claims to be?"

CertusOrdo: "Is this agent who it claims to be, AND is what it just did safe, AND if not, can we fix it automatically, AND if we can't fix it, who needs to know?"

Engine Overview

Validator Engine

Inspects every transaction before commit. Runs 12 validation checks, produces confidence scores, detects PII/PHI for HIPAA compliance.

Key Output: Confidence score (0.0 - 1.0)

Decision Engine

The autonomous brain. Transforms validation results into actionable decisions: COMMIT, ROLLBACK, or ESCALATE. Handles 85%+ of decisions without human intervention.

Key Output: Decision type + reasoning

Correction Engine

The self-healing component. When decisions require retry, generates specific corrections to apply. 20 correction strategies covering parameter adjustments, content modifications, and behavioral changes.

Key Output: Correction payload for retry

Notification Engine

Multi-channel communication hub. 8 channels, escalation chains, quiet hours, rate limiting. Ensures the right people get the right alerts at the right time.

Key Output: Delivered notifications with audit trail

Learning Engine (Coming Soon)

ML-powered pattern recognition. Auto-tunes thresholds, clusters anomalies, improves correction selection based on outcomes.

Key Output: Optimized system parameters

Transaction Flow

# Complete autonomous flow
async def process_agent_transaction(transaction):

    # 1. VALIDATE - Detect issues before commit
    validation = await validator_engine.validate(transaction)
    # Output: confidence=0.72, anomalies=[value_bounds, timing]

    # 2. DECIDE - Determine action autonomously
    decision = await decision_engine.evaluate(validation)
    # Output: ROLLBACK_AND_RETRY (correctable issues detected)

    # 3. CORRECT - Generate fix for retry
    correction = await correction_engine.generate(decision)
    # Output: strategy=DECOMPOSE_TASK, split into 2 transactions

    # 4. RETRY - Apply correction and retry
    retry_result = await transaction.retry_with(correction)
    # Output: success, confidence=0.94

    # 5. COMMIT - Transaction succeeds
    await transaction.commit()

    # No notification needed - handled autonomously!

Why This Matters

Competitor	What They Do	What Happens When Agent Fails
Keycard ($38M)	Identity + Auth	❌ Nothing — transaction proceeds or fails
Descope ($88M)	Identity + Auth	❌ Nothing — manual cleanup required
CertusOrdo	Full Safety Layer	✅ Auto-validate, auto-decide, auto-correct, auto-notify

Compliance Coverage

The Autonomous Safety Layer is designed for regulated industries:

Framework	How We Support It
SOC 2 Type II	Hash-chained audit logs, access controls
HIPAA	PII/PHI detection in Validator Engine
SEC 17a-4	Immutable records, 7-year retention
GDPR	Data minimization, consent tracking
PCI DSS	Payment data detection and masking

API Endpoints

All safety layer endpoints live under /v1/safety/:

# Health
GET  /v1/safety/health

# Validator
POST /v1/safety/validate/validate
GET  /v1/safety/validate/anomalies
GET  /v1/safety/validate/stats

# Decision
POST /v1/safety/decide/evaluate
GET  /v1/safety/decide/policies
POST /v1/safety/decide/{id}/approve
GET  /v1/safety/decide/stats

# Correction
POST /v1/safety/correct/generate
POST /v1/safety/correct/preview
GET  /v1/safety/correct/strategies
POST /v1/safety/correct/feedback

# Notifications
POST /v1/notifications/send
POST /v1/notifications/{id}/ack
GET  /v1/notifications/{id}
GET  /v1/notifications/metrics

Getting Started

1. Integrate validation into your agent execution loop
2. Configure policies for your risk tolerance
3. Set up notifications for human-required decisions
4. Monitor dashboard for aggregate health

See individual engine documentation for detailed integration guides.