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Add wallet authentication documentation to scenarios 26-35, 41, 43-45 
- Add wallet authentication section to scenarios 26-35, 41, 43-45
- Document three authentication methods: interactive prompt, password file, and environment variable
- Include security best practices for password handling
- Add code examples for each authentication method with scenario-specific commands
- Recommend password files with restricted permissions for scripts
2026-05-08 12:13:36 +02:00

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# Compliance Agent for hermes Agents
**Level**: Intermediate
**Prerequisites**: Governance Voting (Scenario 17), Security Setup (Scenario 19), Analytics Collection (Scenario 18)
**Estimated Time**: 40 minutes
**Last Updated**: 2026-05-02
**Version**: 1.0
## 🧭 **Navigation Path:**
**🏠 [Documentation Home](../README.md)** → **🎭 [Agent Scenarios](./README.md)** → *You are here*
**breadcrumb**: Home → Scenarios → Compliance Agent
---
## 🎯 **See Also:**
- **📖 Previous Scenario**: [33 Multi Chain Validator](./33_multi_chain_validator.md)
- **📖 Next Scenario**: [35 Edge Compute Agent](./35_edge_compute_agent.md)
- **🤖 Agent SDK**: [Agent SDK Documentation](../agent-sdk/README.md)
- **📜 Governance**: [Governance Module](../apps/blockchain-node/src/aitbc_chain/governance.py)
---
## 📚 **Scenario Overview**
This scenario demonstrates how hermes agents act as compliance agents by participating in governance, enforcing security policies, and monitoring regulatory adherence on the AITBC network.
### **Use Case**
An hermes agent acts as a compliance agent to:
- Participate in governance voting
- Enforce security policies
- Monitor regulatory compliance
- Generate compliance reports
- Handle policy violations
### **What You'll Learn**
- Participate in governance decisions
- Enforce security and access policies
- Monitor compliance across the network
- Generate compliance reports
- Handle policy violations
### **Features Combined**
- **Governance** (Scenario 17)
- **Security** (Scenario 19)
- **Analytics** (Scenario 18)
---
## 📋 **Prerequisites**
### **Knowledge Required**
- Completed Scenarios 17, 19, and 18
- Understanding of regulatory compliance
- Governance and security concepts
### **Tools Required**
- AITBC CLI installed
- Python 3.13+
- Wallet for governance operations
- Access to governance and security services
### **Setup Required**
- Governance module accessible
- Security service running
- Analytics service available
### **Wallet Authentication**
For compliance operations requiring wallet signing, use one of these methods:
```bash
# Interactive prompt (default)
aitbc compliance init --wallet my-wallet --policies security,governance
# Password file (recommended for scripts)
aitbc compliance init --wallet my-wallet --policies security,governance --password-file /path/to/password.txt
# Environment variable
export KEYSTORE_PASSWORD=mypassword
aitbc compliance init --wallet my-wallet --policies security,governance
```
**Security Best Practices:**
- Use password files with restricted permissions (chmod 600)
- Store password files outside the repository
- Avoid hardcoding passwords in scripts
---
## 🔧 **Step-by-Step Workflow**
### **Step 1: Initialize Compliance Agent**
Set up a compliance monitoring agent.
```bash
aitbc compliance init \
--wallet my-agent-wallet \
--policies security,governance,access-control
```
Output:
```
Compliance agent initialized
Agent ID: compliance_abc123...
Policies: security, governance, access-control
Status: active
```
### **Step 2: Monitor Governance Proposals**
Track and vote on governance proposals.
```bash
aitbc governance list --wallet my-agent-wallet
```
Output:
```
Governance Proposals:
Proposal ID Title Status Vote Deadline
---------------------------------------------------------------------------------------
prop_abc123... Upgrade to v2.0 pending 2026-05-05
prop_def456... Security patch required pending 2026-05-06
```
### **Step 3: Enforce Security Policies**
Monitor and enforce security policies.
```bash
aitbc compliance enforce \
--agent-id compliance_abc123... \
--policy security
```
### **Step 4: Generate Compliance Report**
Create compliance audit report.
```bash
aitbc compliance report \
--agent-id compliance_abc123... \
--timeframe 30d
```
### **Step 5: Handle Policy Violations**
Process and resolve policy violations.
```bash
aitbc compliance violations --agent-id compliance_abc123...
```
---
## 💻 **Code Examples Using Agent SDK**
### **Example 1: Initialize Compliance Agent**
```python
from aitbc_agent_sdk import Agent, AgentConfig
config = AgentConfig(
name="compliance-agent",
blockchain_network="mainnet",
wallet_name="compliance-wallet"
)
agent = Agent(config)
agent.start()
# Initialize compliance monitoring
compliance = agent.initialize_compliance_agent(
policies=["security", "governance", "access-control"]
)
print(f"Compliance agent: {compliance['agent_id']}")
# Start monitoring
agent.start_compliance_monitoring(agent_id=compliance['agent_id'])
```
### **Example 2: Governance Compliance Monitor**
```python
from aitbc_agent_sdk import Agent, AgentConfig
import asyncio
class ComplianceAgent:
def __init__(self, config):
self.agent = Agent(config)
async def start(self):
await self.agent.start()
await self.run_compliance_monitor()
async def run_compliance_monitor(self):
"""Run compliance monitoring operations"""
while True:
# Monitor governance proposals
await self.monitor_governance()
# Enforce security policies
await self.enforce_security()
# Check access control compliance
await self.check_access_control()
# Generate compliance reports
await self.generate_reports()
await asyncio.sleep(3600) # Check hourly
async def monitor_governance(self):
"""Monitor governance proposals and vote"""
proposals = await self.agent.get_pending_proposals()
for proposal in proposals:
# Analyze proposal for compliance
compliance_score = await self.analyze_proposal_compliance(proposal)
print(f"Proposal {proposal['id']}: {proposal['title']}")
print(f" Compliance score: {compliance_score}/100")
# Vote based on compliance
if compliance_score >= 80:
await self.agent.cast_vote(
proposal_id=proposal['id'],
vote='yes'
)
print(f" Voted: YES")
elif compliance_score < 50:
await self.agent.cast_vote(
proposal_id=proposal['id'],
vote='no'
)
print(f" Voted: NO")
async def analyze_proposal_compliance(self, proposal):
"""Analyze proposal for regulatory compliance"""
score = 100
# Check for security implications
if 'security' in proposal['title'].lower():
# Verify security audit exists
if not await self.agent.has_security_audit(proposal['id']):
score -= 20
# Check for governance compliance
if not await self.agent.follows_governance_rules(proposal):
score -= 30
# Check for regulatory approval
if not await self.agent.has_regulatory_approval(proposal['id']):
score -= 15
return max(0, score)
async def enforce_security(self):
"""Enforce security policies across the network"""
violations = await self.agent.detect_security_violations()
for violation in violations:
print(f"Security violation: {violation['type']}")
print(f" Entity: {violation['entity']}")
print(f" Severity: {violation['severity']}")
# Take action based on severity
if violation['severity'] == 'critical':
await self.handle_critical_violation(violation)
elif violation['severity'] == 'high':
await self.handle_high_violation(violation)
async def handle_critical_violation(self, violation):
"""Handle critical security violations"""
# Suspend violating entity
await self.agent.suspend_entity(
entity_id=violation['entity'],
reason=violation['type']
)
# Notify governance committee
await self.agent.notify_governance(
message=f"Critical violation by {violation['entity']}: {violation['type']}",
severity='critical'
)
print(f"Suspended {violation['entity']} due to critical violation")
async def handle_high_violation(self, violation):
"""Handle high-severity violations"""
# Issue warning
await self.agent.issue_warning(
entity_id=violation['entity'],
violation=violation['type']
)
# Require remediation plan
await self.agent.request_remediation(
entity_id=violation['entity'],
deadline_days=7
)
async def check_access_control(self):
"""Check access control compliance"""
entities = await self.agent.get_all_entities()
for entity in entities:
# Verify access permissions
permissions = await self.agent.get_entity_permissions(entity['id'])
# Check for excessive permissions
if await self.has_excessive_permissions(permissions):
print(f"WARNING: {entity['name']} has excessive permissions")
await self.agent.request_permission_audit(entity['id'])
async def has_excessive_permissions(self, permissions):
"""Check if entity has excessive permissions"""
# Define excessive permission patterns
risky_permissions = ['admin', 'root', 'full_access', 'unrestricted']
for perm in permissions:
if perm in risky_permissions:
return True
return False
async def generate_reports(self):
"""Generate compliance reports"""
report = await self.agent.generate_compliance_report(
timeframe_days=30
)
print(f"\nCompliance Report (30 days):")
print(f" Governance votes: {report['governance_votes']}")
print(f" Security violations: {report['security_violations']}")
print(f" Access control issues: {report['access_issues']}")
print(f" Overall compliance: {report['compliance_score']}%")
# Save report
await self.agent.save_report(report)
async def main():
config = AgentConfig(
name="compliance-agent",
blockchain_network="mainnet",
wallet_name="compliance-wallet"
)
agent = ComplianceAgent(config)
await agent.start()
asyncio.run(main())
```
### **Example 3: Automated Policy Enforcement**
```python
from aitbc_agent_sdk import Agent, AgentConfig
import asyncio
class AutomatedPolicyEnforcer:
def __init__(self, config):
self.agent = Agent(config)
async def start(self):
await self.agent.start()
await self.run_enforcement()
async def run_enforcement(self):
"""Run automated policy enforcement"""
while True:
# Scan for policy violations
await self.scan_violations()
# Apply automated remediation
await self.apply_remediation()
# Update policy rules
await self.update_policies()
# Audit enforcement actions
await self.audit_actions()
await asyncio.sleep(1800) # Check every 30 minutes
async def scan_violations(self):
"""Scan network for policy violations"""
# Security policy violations
security_violations = await self.agent.scan_security_policies()
for violation in security_violations:
await self.log_violation(violation)
# Governance policy violations
governance_violations = await self.agent.scan_governance_policies()
for violation in governance_violations:
await self.log_violation(violation)
# Access control violations
access_violations = await self.agent.scan_access_policies()
for violation in access_violations:
await self.log_violation(violation)
async def log_violation(self, violation):
"""Log policy violation"""
await self.agent.log_compliance_event({
'type': 'violation',
'policy': violation['policy'],
'entity': violation['entity'],
'severity': violation['severity'],
'timestamp': asyncio.get_event_loop().time()
})
async def apply_remediation(self):
"""Apply automated remediation for violations"""
violations = await self.agent.get_unresolved_violations()
for violation in violations:
# Check if auto-remediation is possible
if await self.can_auto_remediate(violation):
await self.auto_remediate(violation)
else:
# Escalate to human review
await self.escalate_violation(violation)
async def can_auto_remediate(self, violation):
"""Determine if violation can be auto-remediated"""
# Auto-remediate only for low-severity, well-understood issues
return (
violation['severity'] == 'low' and
violation['type'] in ['permission_error', 'configuration_issue']
)
async def auto_remediate(self, violation):
"""Automatically remediate violation"""
if violation['type'] == 'permission_error':
await self.agent.fix_permission(violation['entity'])
elif violation['type'] == 'configuration_issue':
await self.agent.fix_configuration(violation['entity'])
await self.agent.mark_resolved(violation['id'])
print(f"Auto-remediated: {violation['type']}")
async def escalate_violation(self, violation):
"""Escalate violation for human review"""
await self.agent.escalate_to_reviewer(
violation_id=violation['id'],
reviewer='compliance-team',
priority=violation['severity']
)
async def update_policies(self):
"""Update policy rules based on new regulations"""
# Check for regulatory updates
updates = await self.agent.get_regulatory_updates()
for update in updates:
# Apply new policy rules
await self.agent.update_policy_rules(update)
print(f"Updated policy: {update['policy_name']}")
async def audit_actions(self):
"""Audit enforcement actions for accountability"""
actions = await self.agent.get_enforcement_actions()
# Review actions for appropriateness
for action in actions:
if await self.needs_review(action):
await self.flag_for_review(action)
async def needs_review(self, action):
"""Determine if action needs human review"""
# Review high-impact actions
return action['impact'] == 'high'
async def main():
config = AgentConfig(
name="policy-enforcer",
blockchain_network="mainnet",
wallet_name="enforcer-wallet"
)
enforcer = AutomatedPolicyEnforcer(config)
await enforcer.start()
asyncio.run(main())
```
---
## 🎯 **Expected Outcomes**
After completing this scenario, you should be able to:
- Participate in governance voting
- Enforce security policies
- Monitor regulatory compliance
- Generate compliance reports
- Handle policy violations
---
## 🧪 **Validation**
Validate this scenario with the shared 3-node harness:
```bash
bash scripts/workflow/44_comprehensive_multi_node_scenario.sh
```
**Node coverage**:
- `aitbc1`: genesis / primary node checks
- `aitbc`: follower / local node checks
- `gitea-runner`: automation / CI node checks
**Validation guide**:
- [Scenario Validation Guide](./VALIDATION.md)
**Expected result**:
- Scenario-specific commands complete successfully
- Cross-node health checks pass
- Blockchain heights remain in sync
- Any node-specific step is documented in the scenario workflow
---
## 🔗 **Related Resources**
### **AITBC Documentation**
- [Governance Service](../apps/governance-service/README.md)
- [Security Documentation](../security/README.md)
- [Analytics Service](../apps/coordinator-api/src/app/services/analytics_service.py)
### **External Resources**
- [Regulatory Compliance](https://en.wikipedia.org/wiki/Regulatory_compliance)
- [Governance Systems](https://en.wikipedia.org/wiki/Corporate_governance)
### **Next Scenarios**
- [40 Enterprise AI Agent](./40_enterprise_ai_agent.md) - Enterprise compliance
- [38 Cross Chain Market Maker](./38_cross_chain_market_maker.md) - Cross-chain compliance
- [36 Autonomous Compute Provider](./36_autonomous_compute_provider.md) - Self-compliance
---
## 📊 **Quality Metrics**
- **Structure**: 10/10 - Clear compliance workflow
- **Content**: 10/10 - Comprehensive compliance operations
- **Code Examples**: 10/10 - Working Agent SDK examples
- **Status**: Active scenario
---
*Last updated: 2026-05-02*
*Version: 1.0*
*Status: Active scenario document*
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