Alviss AI Security & Trust Center
Our Commitment to Security
At Alviss AI, we understand that our predictive analytics and Bayesian models are used to drive critical business decisions and scientific breakthroughs. Security is not an afterthought; it is built into the architecture of our platform. We employ rigorous security measures to ensure the integrity of your data and the reliability of our AI outputs.
Data Protection & Privacy
AI Safety & Model Integrity
Unlike black-box AI, Alviss AI utilizes Bayesian Deep Learning, which provides explicit uncertainty quantification. This enhances security by:
Infrastructure & Operational Security
Vulnerability Disclosure Policy (VDP)
We welcome the help of security researchers to keep our community safe. If you believe you have found a security vulnerability in the Alviss AI platform, please report it to us responsibly.
How to Report:
Rules of Engagement:
Safe Harbor: We will not pursue legal action against researchers who act in good faith and follow these guidelines.
Contact Us
For security-related inquiries, Security Policy Reports (under NDA), or Data Processing Agreements (DPA), please contact our security team at security@alviss.io.
At Alviss AI, we understand that our predictive analytics and Bayesian models are used to drive critical business decisions and scientific breakthroughs. Security is not an afterthought; it is built into the architecture of our platform. We employ rigorous security measures to ensure the integrity of your data and the reliability of our AI outputs.
Data Protection & Privacy
- Encryption: All data is encrypted at rest using industry-standard AES-256 encryption and in transit via TLS 1.2 or higher.
- Data Isolation: We utilize multi-tenant isolation architectures to ensure that your proprietary training data and model inputs are never accessible to other customers.
- Compliance: We align our operations with GDPR and other international data protection standards. We are committed to maintaining the highest levels of data sovereignty for our global clients.
AI Safety & Model Integrity
Unlike black-box AI, Alviss AI utilizes Bayesian Deep Learning, which provides explicit uncertainty quantification. This enhances security by:
- Preventing Rash Decisions: Our models "know when they don't know," reducing the risk of confident but incorrect predictions in sensitive and business critical environments.
- Adversarial Robustness: We continuously test our models against outliers and adversarial data poisoning to ensure that insights remain untainted.
Infrastructure & Operational Security
- Cloud Security: Our platform is hosted on Contabo and Hetzner in EU that comply with SOC 2 Type II and ISO 27001 standards.
- Access Control: We follow the "Principle of Least Privilege" (PoLP). Internal access to production systems is restricted to authorized personnel and protected by Multi-Factor Authentication (MFA).
- Vulnerability Management: We conduct regular automated scans and periodic third-party penetration tests to identify and remediate potential risks.
Vulnerability Disclosure Policy (VDP)
We welcome the help of security researchers to keep our community safe. If you believe you have found a security vulnerability in the Alviss AI platform, please report it to us responsibly.
How to Report:
- Email: security@alviss.io
- Please include a detailed description of the vulnerability and steps to reproduce it.
Rules of Engagement:
- Do not attempt to access, modify, or delete data belonging to other users.
- Do not perform Denial of Service (DoS) attacks.
- Give us a reasonable amount of time to fix the issue before public disclosure.
Safe Harbor: We will not pursue legal action against researchers who act in good faith and follow these guidelines.
Contact Us
For security-related inquiries, Security Policy Reports (under NDA), or Data Processing Agreements (DPA), please contact our security team at security@alviss.io.