Gencore AI for Microsoft 365 Outlook

Gencore AI empowers organizations to rapidly and securely build enterprise-grade generative AI (GenAI) systems, AI copilots, and agents. It simplifies GenAI adoption by enabling seamless creation of AI pipelines that integrate both structured and unstructured proprietary enterprise data across hundreds of systems and applications.

You can leverage any foundation model available in Google Cloud, such as Vertex AI, Gemini, and PaLM 2, as well as third-party models like Anthropic, Claude, Meta Llama 2, and Mistral.

Core Capabilities:

1. Create Secure Enterprise AI Copilots: Combine data from multiple systems within minutes to build AI copilots and knowledge systems. Includes automatic enterprise controls, AI usage tracking, and full provenance.

2. Sync Data Safely to Vector Databases: Ingest and synchronize data at scale. Generate custom embeddings with metadata to prepare enterprise data for LLMs.

3. Prepare Data for Model Training: Assemble, clean, and sanitize high-quality datasets for AI model training and fine-tuning.

4. Protect AI Interactions: The conversation-aware LLM Firewall safeguards user prompts, responses, and data access, ensuring enterprise policy compliance.

Key Features:

1. Enterprise-Wide Data Connectivity: Securely ingest data through hundreds of native connectors across SaaS, on-premises, public, and data cloud environments.

2. Inline AI Pipeline Controls: Enforce security and compliance with data sanitization, LLM firewalls, and continuous monitoring (NIST AI RMF, EU AI Act).

3. Comprehensive AI System Provenance: Maintain full visibility of AI usage, including every file, user, model, and endpoint interaction.

Support: Securiti AI Contact

Loading Microsoft 365 Outlook Data for GenAI Pipelines:

1. Select Microsoft 365 Outlook as the source.

2. Choose the relevant data system, bucket, or attribute.

3. Define the scope for Microsoft 365 Outlook data.

4. Apply optional filters:

   • Object Prefix (text or regex)

   • Object Name (regex)

   • Object Tags (key:value)

   • Object Extension Category

   • Object Extensions

   • Object Size

   • Last Modified Date

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