What is AI Discovery?
AI Discovery refers to the systematic process of uncovering, cataloging, and monitoring all AI-related assets in an organization’s environment. This includes models, datasets, notebooks, clusters, APIs, and the applications they power. The goal is to provide organizations with full visibility and control over their AI development lifecycle, ensuring that innovation doesn’t outpace governance, compliance, or security.
How Does AI Discovery Work in PointGuard AI?
PointGuard AI Discovery is a foundational capability that enables organizations to manage AI risk without slowing innovation. It integrates with leading platforms like Databricks, Azure, AWS, Google Vertex AI, OpenAI, and GitHub to provide complete visibility into distributed AI assets.
- Deep Platform Integration
PointGuard connects with a wide range of AI development platforms to automatically discover and inventory models, datasets, notebooks, endpoints, and more. This includes support for Databricks, Amazon SageMaker and Bedrock, Azure AI and Azure OpenAI, and Google Vertex AI. - Dynamic AI Asset Inventory
AI assets—including LLMs and other machine learning models, datasets for production or training use, notebooks, plugins, jobs, API connectors, and serving endpoints—are tracked and classified to ensure organizations know what exists and where. These resources are continuously monitored for compliance, ownership, and usage context. - Model Supply Chain Management
PointGuard maintains a proprietary knowledge base of open-source models from sources like Hugging Face. It helps users identify model origins, validate licensing, and evaluate model risk based on historical data. It also maintains an AI bill of materials (AI BOM) to provide transparency and enable audits. - Automated Risk Scoring
Every AI asset is evaluated across four risk categories. The Security Risk Score reflects adherence to verified policies and use of safe artifacts. The Compliance Risk Score factors in license types, dataset usage, and publisher location. The Operational Risk Score considers things like update frequency and peer reviews. The Adoption Risk Score looks at popularity indicators such as downloads and reported issues. - Approval & Remediation Workflows
When new or modified assets are discovered, PointGuard alerts managers and enables one-click approval. Risky assets automatically generate remediation tickets and notifications. These workflows help organizations enforce policy at scale and respond to issues proactively. - Visibility Across Applications
PointGuard maps discovered assets—including models, datasets, and sub-resources—to the applications they power. This context helps security and development teams better prioritize controls and streamline governance.
Why PointGuard AI Discovery?
PointGuard is the only vendor that protects both software supply chains and AI ecosystems. AI Discovery provides the foundation for a complete AI security posture—helping organizations prevent shadow AI, enforce compliance, reduce operational risks, and respond to incidents before they occur.
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