Data Privacy Challenges

Generative AI relies on vast amounts of data, raising concerns over leaks, compliance issues, and unauthorized access.

Cybersecurity Risks

Storing and processing massive datasets make businesses prime targets for cyberattacks and data breaches.

Regulatory Uncertainty

Global laws on AI-generated content and data usage are evolving, leading to potential legal complications.

High Operational Costs

Collecting, managing, and securing AI training data adds financial strain, especially for startups and SMEs.

EthicalĀ  Dilemmas

Bias in training data can lead to misinformation, copyright violations, and reputational damage.

Third-Party Vulnerabilities

Businesses relying on external AI models risk losing control over sensitive data shared with vendors.