Legal Disclaimer

Important limitations and disclosures regarding our services

Last Updated: January 15, 2024

Important Notice

This disclaimer outlines important limitations regarding our AI and cybersecurity services. Please read it carefully before using our services or relying on any information provided.

By accessing our website or using our services, you acknowledge and agree to this disclaimer.

Research Information

  • Our AI research is experimental and may contain inaccuracies
  • Research findings are subject to peer review and validation
  • We do not guarantee the accuracy of research predictions
  • Research data may be updated or corrected without notice

Security Services

  • No cybersecurity solution can provide 100% protection
  • Security effectiveness depends on implementation and environment
  • We are not liable for security breaches despite using our solutions
  • Regular security audits and updates are user's responsibility

Professional Advice

  • Information provided is for educational purposes only
  • Not a substitute for professional cybersecurity consultation
  • Not financial, legal, or medical advice
  • Consult relevant professionals for specific guidance

Third-Party Content

  • We are not responsible for third-party websites linked from our site
  • Third-party product recommendations are not endorsements
  • We do not control third-party content accuracy or security
  • Users access third-party links at their own risk

AI-Specific Limitations

Important considerations for AI services

Algorithmic Bias

AI models may reflect biases present in training data. We continuously work to identify and mitigate biases, but complete elimination may not be possible.

Model Drift

AI model performance may degrade over time due to changing data patterns. Regular retraining and monitoring are essential.

Explainability

Complex AI models may lack complete explainability. While we prioritize interpretability, some decisions may not be fully explainable.

Data Dependency

AI model performance depends heavily on training data quality and quantity. Results may vary based on input data characteristics.

Risk Acknowledgement

You acknowledge and agree that using AI and cybersecurity services involves inherent risks, including but not limited to:

Potential security vulnerabilities despite protections
False positives/negatives in threat detection
System compatibility issues
Service interruptions or downtime
Data loss or corruption
Evolving cyber threats outpacing defenses

You assume all risks associated with the use of our services and agree that Techodite shall not be liable for any damages resulting from these inherent risks.

External Research Disclaimer

Techodite collaborates with academic institutions, industry partners, and independent researchers. While we strive for accuracy and reliability, please note:

  • Collaborative research findings represent the views of all involved parties and may not reflect Techodite's official position
  • Research publications undergo peer review but may contain errors or require corrections
  • External research data may be subject to different licensing and usage terms
  • We do not endorse all views expressed in collaborative research publications

Your Acknowledgement

By using Techodite's services, you acknowledge that:

  • You have read and understood this disclaimer in its entirety
  • You accept the limitations and risks outlined above
  • You will not hold Techodite liable for damages within the scope of this disclaimer
  • You will seek professional advice for critical security decisions

For questions about this disclaimer, contact: legal@techodite.com