Gencore AI for Box

Gencore AI helps organizations rapidly build secure, enterprise-grade generative AI (GenAI) systems, copilots, and AI agents. It accelerates enterprise GenAI adoption by simplifying the creation of AI and data pipelines for both structured and unstructured data, powered by proprietary enterprise data across hundreds of data sources and applications.

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

Core Capabilities

1. Build Secure Enterprise AI Copilots
Quickly create AI copilots and knowledge systems by unifying data from multiple enterprise platforms. Built-in enterprise controls, AI usage monitoring, and end-to-end provenance tracking are applied automatically.

2. Securely Sync Data to Vector Databases
Ingest and synchronize data at scale from diverse systems with built-in security. Generate custom embeddings enriched with metadata to prepare enterprise data for LLM-powered applications.

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

4. Protect AI Interactions
Safeguard AI prompts, responses, and data retrievals using a conversation-aware LLM Firewall. It enforces enterprise policies, prevents sensitive data exposure, and protects against threats such as prompt injection and jailbreak attacks.

Key Features

1. Seamless Enterprise Data Connectivity
Securely connect to hundreds of native data sources, enabling AI applications that leverage both structured and unstructured data across SaaS, on-premises, public cloud, and data cloud environments.

2. Inline Security Controls Across the AI Pipeline
Protect every stage of AI operations with layered security, including data sanitization prior to model usage, policy-enforcing LLM firewalls, and continuous compliance monitoring aligned with standards such as NIST AI RMF and the EU AI Act.

3. Complete AI System Visibility and Provenance
Gain full transparency across your AI ecosystem, with detailed tracking of data sources, individual files, users, AI models, and usage endpoints.