AI governance and Security

HyperSense AI
AI Security, Governance Layer

A central hub to deploy, monitor, manage, and govern all the models in production to establish clear practices to ensure consistent management and minimize risks with HyperSense AI.

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Build transparent and trustworthy AI models

HyperSense AI Governance module sets the rules and controls for model deployments, including access control, testing and validation, change and access logs, and traceability of prediction results. With HyperSense AI, organizations can scale deployments, provide legal and compliance reports, and ability to create consumption of models across enterprise users using HyperSense Report Creation Capabilities.

Build robust AI models securely

While the HyperSense AI platform supports various security standards such as PCI-DSS, 2FA, and encryption standards such as AES, and RSA, it is also GDPR compliant. HyperSense AI Security Assessment module tests various security assessments of “Adversarial Attacks on ML models” along with Bias assessment. It supports both White-box and Black-Box attacks and covers the assessment of those threat types.

AI-Security

Benefits of AI Security & Governance Layer

Improve Productivity
Improve Resilience

Enhances the models’ robustness from modern day adversarial attacks on AI systems.

Value Gap
Improve Adoption

Instill trust in AI models and drive higher adoption and collaboration across enterprise users.

Ensure Transparency
Ensure Transparency

Ensures transparency in decision-making and eliminates bias with Explainable AI capabilities.

Make trusted business decisions with HyperSense AI

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