Overview

Our AI security solutions safeguard machine learning models against adversarial threats and data vulnerabilities. From homomorphic encryption to model monitoring, our tools ensure model integrity and compliance, protecting sensitive information and ensuring trustworthy AI-driven insights.

SEAL SQ ANAFI Ai & Skycontroller 4

Solutions We Offer

🗸 AI Vulnerability Assessments: Identify potential vulnerabilities in your AI models and implement necessary protections.

🗸 Model Encryption: Apply advanced encryption methods to protect your AI algorithms and data from unauthorized access.

🗸 Secure Model Lifecycle Management: Implement secure practices for model development, deployment, and updating to protect integrity.

🗸 Ongoing Model Monitoring: Monitor model behavior to detect and address any emerging security threats or issues.


Key Benefits:

🗸 Data Integrity: Protect data using Homomorphic Encryption capabilities available within Microsoft Azure Confidential Computing and Google Cloud’s Confidential VMs, enabling secure AI model operation without compromising data privacy.

🗸 Threat Detection: Leverage Microsoft’s AI Security Tools within Azure Sentinel and Google Vertex AI for continuous model monitoring and rapid response to adversarial threats.

🗸 Model Explainability: Enhance transparency using Microsoft InterpretML or Google’s Explainable AI for compliant, auditable AI models that provide clear explanations of model decisions.

🗸 Secure Deployment: Deploy AI models on secure cloud infrastructures such as Azure ML or Google Cloud AI Platform with integrated security protocols, encryption, and compliance-ready tools to safeguard model integrity.


SEAL SQ ANAFI Ai & Skycontroller 4

Technology Stack we use :

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