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.

Risk Category

Mitigation Focus

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

Last updated 10 days ago