Securiti
Securiti
Securiti’s Gencore AI enables businesses to easily and quickly build safe, enterprise-grade generative AI (GenAI) systems, copilots and AI agents. It accelerates GenAI adoption in the enterprise by making it easy to build governed unstructured and structured data + AI pipelines utilizing proprietary enterprise data across hundreds of diverse data systems and applications.
Gencore AI automatically learns data controls (like entitlements) in underlying systems and applies them at the AI usage layer, protects AI systems against malicious use, and provides full provenance of the entire AI system for comprehensive monitoring and controls.
Organizations can use Gencore AI to quickly and easily build end-to-end safe AI systems, or to provide key building blocks of GenAI projects. Key capabilities include:
- Build Safe Enterprise AI Copilots: Create AI copilots and knowledge systems by combining data from multiple systems in minutes.
- Safely Create Embeddings and Sync to Vector Databases: Quickly and securely create embeddings from data in SaaS, IaaS, private clouds, and data lakes and warehouses for use in LLMs.
- Curate and Sanitize Data for Model Training: Easily assemble, cleanse, and sanitize high-quality datasets for AI model training and tuning.
- Protect AI Interactions: The natural language conversation-aware LLM Firewall, protects user prompts, responses and data retrievals in AI systems.
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HPE and Securiti have partnered to enable organizations to build and deploy safe, enterprise-grade AI systems by combining HPE's secure private cloud infrastructure with NVIDIA NIM and Securiti's Gencore AI platform. This partnership addresses critical enterprise needs: maintaining control over AI infrastructure, protecting sensitive data, and ensuring proper governance throughout the AI system lifecycle. Organizations can confidently build enterprise AI systems while maintaining full control and visibility over their data and AI operations by integrating HPE Private Cloud AI's NVIDIA-powered infrastructure with NVIDIA NIM and Gencore AI's comprehensive data controls, LLM firewalls, and AI system provenance, powered by a unique knowledge graph.
Gencore AI on HPE Private Cloud AI enables enterprises to rapidly build and operate secure, compliant private AI applications by addressing four key requirements:
1. Ease of Building and Operating Safe AI Systems
Enterprises need to implement and operate numerous GenAI use cases at scale, requiring software tools that can handle diverse data systems. Gencore AI simplifies this by enabling quick connection to both unstructured and structured data within HPE Private Cloud AI, allowing teams to configure and operationalize systems within minutes.
2. Embedded Security and Governance in AI System
Security and data governance are fundamental requirements for enterprise GenAI projects, especially when moving from proof of concepts to production. Gencore AI addresses this by embedding security at every stage within HPE Private Cloud AI, from data ingestion to consumption, while aligning with OWASP Top 10 for LLMs.
3. Complete Provenance Tracking for AI Systems
Generative AI systems require full visibility of relationships between various components like files, permissions, models, and endpoints for compliance and operational clarity. Gencore AI's knowledge graph within HPE Private Cloud AI provides real-time contextual insights and comprehensive traceability across all system components.
4. Regulatory Compliance for Each AI System
GenAI's transformative power has led to numerous regional AI regulations, including the EU AI Act and NIST AI RMF, in addition to existing data protection requirements like GDPR. Gencore AI addresses this challenge by providing built-in compliance checks for all AI systems operated within HPE Private Cloud AI.
Below is a conceptual diagram showing how HPE Private Cloud AI, NVIDIA NIM, and Gencore AI help build safe, high-performance enterprise AI systems.
