Gencore AI for Microsoft 365 SharePoint Online

Gencore AI helps organizations rapidly build secure, enterprise-grade generative AI (GenAI) systems, copilots, and AI agents by simplifying the creation of structured and unstructured data + AI pipelines using proprietary enterprise data from hundreds of data sources and applications.

Businesses can leverage any foundation model available on Google Cloud—such as Vertex AI, Gemini, and PaLM 2—as well as leading third-party models including Anthropic Claude, Meta Llama 2, and Mistral.

Key capabilities include:

1. Build Secure Enterprise AI Copilots
   Quickly create AI copilots and knowledge systems by combining data from multiple sources, with built-in enterprise controls, AI usage monitoring, and complete provenance tracking.

2. Safely Sync Data to Vector Databases
   Securely ingest and synchronize data at scale from diverse systems, generating custom embeddings with metadata to prepare enterprise data for LLM-powered use cases.

3. Curate and Sanitize Data for Model Training
   Easily assemble, clean, and sanitize high-quality datasets for training and fine-tuning AI models.

4. Protect AI Interactions
   Use a conversation-aware LLM Firewall to safeguard user prompts, model responses, and data retrievals within AI applications.

Key features:

1. Seamless Enterprise Data Connectivity
   Ingest data securely through hundreds of native connectors, enabling AI applications across SaaS, on-premises, public cloud, and data cloud environments.

2. Inline Security Controls Across the AI Pipeline
   Apply comprehensive protection, including data sanitization before model consumption, LLM firewalls for policy enforcement, and continuous compliance monitoring (NIST AI RMF, EU AI Act, and more).

3. End-to-End AI System Provenance
   Gain full visibility into data and AI usage—down to individual files, users, models, and endpoints.

For support, visit: https://securiti.ai/contact-us/

How to load Microsoft 365 SharePoint Online data in minutes for your GenAI pipeline:

1. Select Microsoft 365 SharePoint Online as the data source.

2. Choose the relevant data system, site, library, or other attributes.

3. Define the scope for SharePoint Online data.

4. Optionally apply filters such as:

   • Object prefix (text or regex)

   • Object name (regex-based)

   • Object tags (key:value pairs)

   • Extension category or specific extensions

   • Object size

   • Last modified date

5. Click Save and Continue to proceed to the Data Sanitizer stage.