Mitigation Strategies
To address the risks identified, AETHRA employs the following strategies:
Model Accuracy Drift
Solution: Implement a continuous retraining pipeline every 6–8 weeks, using recent pilot and production data.
Monitoring: Track matching precision and recall metrics; trigger alerts if accuracy drops below 90%.
Smart-Contract Vulnerabilities
Solution: Engage a third-party audit firm for credential and staking contracts in Q4 2025.
Best Practices: Use formal verification tools and maintain a public bug bounty program post-MVP.
Regulatory Changes
Solution: Maintain an in-house compliance team to monitor EU and global policy updates.
Preparedness: Design modular data-handling components to adapt quickly to new requirements.
Adoption Resistance
Solution: Provide guided onboarding, live demos, and detailed case studies to demonstrate reliability.
Community Engagement: Host regular webinars and Q&A sessions during and after pilot.
Operational Scalability
Solution: Auto-scale compute and database resources based on load, leveraging Kubernetes and Redis clustering.
Stress Testing: Conduct quarterly load tests simulating peak usage scenarios.
Summary Matrix
Model Drift
Automated retraining & metric alerts
Smart Contract Security
Audits + formal verification
Regulatory Uncertainty
In-house compliance + modular design
Adoption Resistance
Demos + community onboarding
Infrastructure Scalability
Auto-scaling + quarterly load testing
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