Identified Risks

As AETHRA scales, we recognize several key risks that could impact platform success:

Model Accuracy Drift

• Risk: Over time, AI matching models may lose effectiveness if they aren’t retrained on fresh data.

• Impact: Mismatches increase, eroding user trust and driving higher manual intervention.

Smart-Contract Vulnerabilities

• Risk: Undiscovered bugs in credential or staking contracts could be exploited.

• Impact: Token or credential theft, legal liabilities, and reputational damage.

Regulatory Changes

• Risk: Evolving data protection or blockchain regulations (e.g., GDPR updates, crypto laws).

• Impact: Potential compliance gaps, requiring rapid product or legal adjustments.

Adoption Resistance

• Risk: Organizations hesitant to trust AI-driven processes or on-chain proofs.

• Impact: Slower pilot uptake and reduced network effects.

Operational Scalability

• Risk: Infrastructure may struggle under high transaction volumes or user load.

• Impact: Service degradation, increased costs, and customer churn.