AI/ML Security Overview

AccuKnox delivers platformized AI/ML security solutions to safeguard machine learning models, data pipelines, and AI-driven workloads from evolving threats. By applying Zero Trust principles, AccuKnox ensures robust protection across cloud, on-premises, and hybrid environments.

AI/ML systems face unique risks such as model theft, data privacy breaches, adversarial attacks, and compliance challenges. Securing these systems is critical to protect intellectual property, maintain data integrity, and meet regulatory requirements.

Supported Platforms

Use Cases

AI-DR (Detection & Runtime Protection)

Detect and defend against AI-specific threats like prompt injection and model abuse with runtime visibility and enforcement.

Jupyter Notebook Security

Secure Jupyter Notebooks with access controls, activity monitoring, and data protection to prevent unauthorized access and data leaks.

ModelArmor

Protect machine learning models from theft, adversarial attacks, and unauthorized access with encryption and usage monitoring.

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AI Copilot

Enhance security operations with AI-driven insights, automated threat detection, and response recommendations.

AI Compliance

Automate policy checks and ensure AI systems align with standards like EU AI Act, NIST, and ISO 42001.

Model Safety

Safeguard models from misuse and ensure responsible AI behavior through explainability and guardrails.

Securing AI Factories

Implement end-to-end security for AI pipelines—from data ingestion to model deployment.