Powered by a knowledge graph with deep contextual information about data and controls from diverse data systems and apps, Gencore AI accelerates enterprise-grade generative AI development
Press Release – October 29, 2024 – SAN JOSE, Calif. – Securiti, the pioneer in data security, privacy, governance and compliance, today announced the release of Gencore AI, a first of its kind holistic solution to easily and quickly build safe, enterprise-grade generative artificial intelligence (GenAI) systems, copilots and AI agents. This new solution accelerates GenAI adoption in the enterprise by making it easy to build unstructured and structured data + AI pipelines utilizing proprietary enterprise data across hundreds of diverse data systems and applications.
“Gencore AI breaks the AI hype cycle by accelerating an organization’s ability to easily build safe, enterprise AI systems fully leveraging their proprietary data in minutes and, ultimately, unleash the human potential at work.” Post this
GenAI is set to drive significant productivity gains, leading to massive economic growth. For enterprise organizations, the biggest barrier to deploying GenAI systems at scale is safely connecting to data systems while ensuring proper controls and governance throughout the AI pipeline. Since the majority of an organization’s data is unstructured data, it’s critical to properly govern and control these assets as they are tapped to fuel AI.
Gencore AI addresses these challenges by enabling organizations to safely connect to hundreds of data systems while preserving data controls and governance as data flows into modern GenAI systems. It is powered by a unique knowledge graph that maintains granular contextual insights about data and AI systems. Gencore AI provides robust controls throughout the AI system to align with corporate policies and entitlements, safeguard against malicious attacks and protect sensitive data.
Today, Securiti also announced that it has integrated NVIDIA NIM microservices into Gencore AI. Integrated in the new solution is a breadth of NIM microservices for the latest AI foundation models, enabling organizations to easily choose the most appropriate NIM microservice for their proprietary data.
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. Gencore AI also provides the flexibility to choose from a rich library of large language models (LLMs) and vector databases to optimize business outcomes.
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: Leveraging the rich library of connectors and unique knowledge graph, build enterprise AI copilots, knowledge systems and apps that combine data from multiple systems, in minutes. Enterprise controls, like entitlements in data systems, are automatically learned and applied at the AI usage layer. Gain full provenance of the entire AI system, including data and AI usage — down to the level of each file, every user, and all AI models and usage endpoints.
- Safely Sync Data to Vector Databases: Quickly and securely ingest and sync unstructured and structured data at scale from any system, including SaaS, IaaS, private clouds, and data lakes and warehouses. Turn data into custom embeddings, while retaining associated metadata and load them to your chosen vector database, making enterprise data ready for LLM usage.
- Curate and Sanitize Unstructured Data for Model Training: Easily assemble, curate, cleanse and sanitize high quality data sets 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. The LLM Firewall helps moderate AI interaction to align with enterprise policies, protect against sensitive data leaks, and prevent attacks like prompt injections and jailbreaking instructions.
“The ability to harness the full power of structured and unstructured data while implementing robust controls and governance is essential to mitigate risk and maximize value of AI adoption in enterprise environments. Platforms like Securiti’s Gencore AI are designed to do just that,” said Howard Holton, COO and Lead Analyst at GigaOm. “Securiti’s solution will help accelerate GenAI adoption in the enterprise.”
“Enterprises have easy access to the best AI models, but are unable to effectively utilize them. Why? Enterprise data, which fuels AI, is scattered across a maze of diverse systems, each governed by different native controls,” said Rehan Jalil, CEO of Securiti AI. “Gencore AI breaks the AI hype cycle by accelerating an organization’s ability to easily build safe, enterprise AI systems fully leveraging their proprietary data in minutes and, ultimately, unleash the human potential at work.”
For more information about Gencore AI, please visit: Gencore AI Homepage
Supporting Resources
- Read the NVIDIA NIM press release
- Check out the Product Brochure: Gencore AI
- Read our whitepaper: The Definitive Guide to Building Safe Enterprise AI Systems
- Watch the webinar: Migrating from POC to Production: Building Safe, Enterprise AI
About Securiti
Securiti is the pioneer of the Data + AI Command Center, a centralized platform that enables the safe use of data and GenAI. It provides unified data intelligence, controls and orchestration across hybrid multicloud environments. Large global enterprises rely on Securiti’s Data Command Center for data security, privacy, governance, and compliance. Securiti has been recognized with numerous industry and analyst awards, including “Most Innovative Startup” by RSA, “Top 25 Machine Learning Startups” by Forbes, “Most Innovative AI Companies” by CB Insights, “Cool Vendor in Data Security” by Gartner, and “Privacy Management Wave Leader” by Forrester. For more information, please visit securiti.ai or follow us on LinkedIn or Twitter.
Contacts
Alex Daigle
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Source : Businesswire