Build an enterprise-level AI agent operating system enabling cross-departmental and cross-system intelligent collaboration.
- Core Architecture
- Security Model
- Deployment Topologies
- Performance Benchmarks
- Compliance Controls
- Operational Monitoring
- Development Workflow
%%{
init: {
'theme': 'base',
'themeVariables': {
'primaryColor': '#1a1f36',
'securityColor': '#ff6b6b',
'industrialColor': '#45B7D1'
}
}
}%%
flowchart TD
subgraph ZeroTrustLayer[Zero-Trust Security]
direction TB
HSM[("HSM (FIPS 140-3 L3)")]:::security
mtls[[mTLS Engine]]:::security
Policy{{"Access Policy Engine\n(NIST 800-207)"}}:::security
end
subgraph AgentSwarm[Agent Swarm Orchestration]
direction LR
Cognitive[["Cognitive Agent\n(ISO 23053)"]]:::cognitive
Data{{"Data Agent\nGDPR Filter"}}:::data
Industrial[("Industrial Agent\nIEC 62443")]:::industrial
end
subgraph IndustrialLayer[Industrial Interface]
direction TB
OPCUA[["OPC UA Server\nIEC 62541"]]:::industrial
Modbus[/"Modbus/TCP Gateway"/]:::industrial
end
ZeroTrustLayer -->|Secure Channel| AgentSwarm
AgentSwarm -->|TLS 1.3| IndustrialLayer
classDef security fill:#ff6b6b,color:#fff,stroke:#333
classDef cognitive fill:#4d9de0,color:#fff,stroke:#333
classDef data fill:#79c99e,color:#fff,stroke:#333
classDef industrial fill:#45B7D1,color:#fff,stroke:#333
# core/agent/lifecycle/state_machine.py
class AgentStateMachine(States):
STATES = [
('INIT', 'BOOTSTRAPPING', cert_validation),
('BOOTSTRAPPING', 'ACTIVE', resource_allocation),
('ACTIVE', 'PAUSED', policy_check),
('PAUSED', 'TERMINATED', audit_compliance)
]
TRANSITION_HOOKS = {
'BOOTSTRAPPING': [
secure_boot.validate_kernel_modules,
tpm2.verify_measured_boot
]
}# config/cognitive.yml
hybrid_reasoning:
neural_components:
- type: transformer
model: Glimmer-v4.2-lite
precision: int8
quantization: dynamic
symbolic_components:
- type: prolog-engine
version: swi-prolog-9.0.4
rulesets:
- industrial_safety.pl
- iso55001_asset_rules.pl
# security/crypto.tf
module "hsm_integration" {
source = "Glimmer/hsm-k8s/aws"
tpm_attestation = {
enforce_measured_boot = true
pcr_policy_hash = var.measured_boot_hash
root_key_handle = "aws-kms:///keys/root-key-001"
}
quantum_safe = {
kyber_512_hybrid = true
dilithium_aes_fusion = false # Enable for NIST PQC Level 5
}
}
# Deploy with ISA-95 zone model
terraform apply -var="deployment_model=ISA95_ZONED" \
-var="control_zone=DMZ" \
-var="safety_zone_level=3"
# prod/main.tf
module "hyperscale" {
source = "Glimmer/hyperscale-aws/v5.3"
cluster_autoscaling = {
min_size = 1000
max_size = 10000
scaling_policy = "AI_PREDICTIVE_2023"
metrics_window = "5m"
}
service_mesh = {
istio_version = "1.18.2-hardened"
encryption_mode = "FIPS_140_3_LEVEL4"
}
}
| Metric | Value (v4.2.1) | SLI Target |
|---|---|---|
| Agent cold start (p99) | 850ms | ≤1s |
| Cross-cluster RPC latency | 12ms ±0.8ms | ≤25ms |
| Threat analysis throughput | 28k TPS | ≥20k TPS |
| FHE ops/sec (Kyber-512) | 1.2M ops | 1M ops |
# Run performance validation
make benchmark SCENARIO="industrial_safety" DURATION=1h
% compliance/iso55001_checks.pl
asset_risk_policy(Asset) :-
operational_criticality(Asset, Level),
Level >= 3,
\+ has_redundancy(Asset),
log_compliance_violation(Asset, 'ISO55001-8.2.3').
safety_integrity_check(Agent) :-
operating_zone(Agent, Zone),
zone_safety_level(Zone, Level),
required_safety_level(Agent, Required),
Level < Required,
enforce_safety_shutdown(Agent).
Certified for:
- IEC 62443-3-3 SL 3
- NIST CSF v2.0 Profile
- ISO 27001:2022 Annex A
- ENISA AI Cybersecurity
# monitoring/prometheus/custom_rules.yml
groups:
- name: industrial_safety
rules:
- alert: SafetyIntegrityBreach
expr: safety_integrity_level < required_safety_level
for: 2m
labels:
severity: critical
compliance: IEC61508
annotations:
response_plan: "/docs/response/iec61508.md#safety-shutdown"
# Enable NIST 800-204 audit logging
curl -X POST http://api:8080/v1/audit/config \
-H "Content-Type: application/json" \
-d '{
"immutable_logs": true,
"cryptographic_sealing": {
"algorithm": "RFC9162_SHA512",
"rotation_interval": "24h"
}
}'
# Pre-commit checks
make precommit CHECKERS="vulnscan,static-analysis,sbom-gen"
# Generate Software Bill of Materials (SBOM)
cyclonedx-py requirements --format json --output sbom.json
# threat_models/safety_analysis.py
class SafetyCriticalThreats(STRIDE):
def analyze(self, component):
super().analyze(component)
if component.zone == 'SAFETY_ZONE_3':
self.apply_iso13849_checks()
self.verify_plc_safety_interlocks()