Securiti launches Gencore AI, a holistic solution to build Safe Enterprise AI with proprietary data - easily

View

Securiti to Empower Organizations to Build Safe, High-Performance Enterprise AI Systems with NVIDIA NIM Microservices

Powered by a knowledge graph, the Gencore AI solution accelerates enterprise-grade AI development with NVIDIA NIM in hybrid cloud and private data centers

LAS VEGAS, October 29, 2024Securiti, the pioneer in data security, privacy, governance and compliance, today announced at Money 20/20 that it has integrated NVIDIA NIM microservices into its Securiti Gencore AI solution, to empower users in industries such as financial services to more easily and quickly build safe, enterprise-grade generative AI systems, copilots and AI agents, utilizing proprietary enterprise data safely in diverse data systems and apps. 

Data security and AI governance are critical for highly regulated industries like financial services. Gencore AI accelerates GenAI adoption in the enterprise by making it easy to build  AI pipelines using both unstructured and structured data from hundreds of data systems. The solution automatically learns data controls (like entitlements) in underlying systems and apply it at the AI usage layer, protect AI systems against malicious use, and provide full provenance of the entire AI system for comprehensive monitoring and controls.   

NVIDIA NIM, part of the NVIDIA AI Enterprise software platform, is a set of easy-to-use microservices designed for secure, reliable deployment of high-performance AI model inference across clouds, data centers and workstations. Integrated in the Gencore AI 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. The solution can be utilized in any of the hyperscalers or in a private data center. 

Gencore AI provides the option to use any of the following NVIDIA NIM microservices with proprietary enterprise data: 

Large Language Models:

  • Llama 3 70B NIM 
  • Llama 3 8B NIM 
  • Mistral 7B NIM 
  • Mixtral 8x22B NIM

Embedding Models:

  • NVIDIA Retrieval QA Embedding NIM
  • NVIDIA Retrieval QA E5 Embedding NIM
  • NVIDIA Retrieval QA Mistral 7B Embedding NIM
  • Snowflake Arctic Embed NIM

Select NVIDIA NIM microservice options will be added as they become available.

Leveraging the rich library of connectors and unique knowledge graph, organizations can use Gencore AI to quickly and easily build safe end-to-end AI systems, or to provide key building blocks of GenAI projects. Key capabilities include:

  • Build Safe Enterprise AI Copilots: Build enterprise AI copilots, knowledge systems and apps, using NVIDIA NIM, 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 the level of each file, every user, and all AI models and usage end-points. 
  • Safely Create Embeddings and Sync to Vector Databases: Quickly and securely create embeddings with NVIDIA NIM from data in SaaS, IaaS, private clouds, and data lakes and warehouses. Sync custom embedding into your chosen vector database, making enterprise data ready for large language models (LLMs) to use.
  • Curate and Sanitize Unstructured Data for Model Training: Easily assemble, curate, cleanse and sanitize high-quality data sets for AI model training and tuning with NVIDIA NIM.
  • Protect AI Interactions: The natural language conversation-aware genFirewall protects user prompts, responses and data retrievals from AI systems. The genFirewall helps moderate AI interaction to align with enterprise policies, protect against sensitive data leaks, and prevent attacks like prompt injections and jailbreaking instructions.

“GenAI is poised to unlock massive economic growth. However, a key challenge for realizing this potential in the enterprise is how to use proprietary data spread across hundreds or thousands of data systems, safely with the most suitable AI,” said Ritu Jyoti, Group Vice President/General Manager, Worldwide Artificial Intelligence and Data Market Research and Advisory, IDC. “Securiti’s Gencore AI addresses this critical need in the market, enabling organizations to safely harness their data to deliver innovative new GenAI applications. The combination of Gencore AI with NVIDIA’s high performance NIM technology creates new opportunities for deploying enterprise AI.”

“NVIDIA NIM microservices is another example of how NVIDIA has remained at the forefront of AI innovation,” said Rehan Jalil, CEO of Securiti AI. “We are excited to integrate with NVIDIA, helping deliver holistic solutions to enterprise organizations for building high performance, safe AI systems.”

At Money 20/20 in Las Vegas, Securiti will be demonstrating its use of NVIDIA NIM microservices to build a copilot chatbot that can retrieve data from earnings transcripts in the NVIDIA AI Pavilion.

Supporting Resources

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.

Videos

View More

Mitigating OWASP Top 10 for LLM Applications 2025

Generative AI (GenAI) has transformed how enterprises operate, scale, and grow. There’s an AI application for every purpose, from increasing employee productivity to streamlining...

View More

DSPM vs. CSPM – What’s the Difference?

While the cloud has offered the world immense growth opportunities, it has also introduced unprecedented challenges and risks. Solutions like Cloud Security Posture Management...

View More

Top 6 DSPM Use Cases

With the advent of Generative AI (GenAI), data has become more dynamic. New data is generated faster than ever, transmitted to various systems, applications,...

View More

Colorado Privacy Act (CPA)

What is the Colorado Privacy Act? The CPA is a comprehensive privacy law signed on July 7, 2021. It established new standards for personal...

View More

Securiti for Copilot in SaaS

Accelerate Copilot Adoption Securely & Confidently Organizations are eager to adopt Microsoft 365 Copilot for increased productivity and efficiency. However, security concerns like data...

View More

Top 10 Considerations for Safely Using Unstructured Data with GenAI

A staggering 90% of an organization's data is unstructured. This data is rapidly being used to fuel GenAI applications like chatbots and AI search....

View More

Gencore AI: Building Safe, Enterprise-grade AI Systems in Minutes

As enterprises adopt generative AI, data and AI teams face numerous hurdles: securely connecting unstructured and structured data sources, maintaining proper controls and governance,...

View More

Navigating CPRA: Key Insights for Businesses

What is CPRA? The California Privacy Rights Act (CPRA) is California's state legislation aimed at protecting residents' digital privacy. It became effective on January...

View More

Navigating the Shift: Transitioning to PCI DSS v4.0

What is PCI DSS? PCI DSS (Payment Card Industry Data Security Standard) is a set of security standards to ensure safe processing, storage, and...

View More

Securing Data+AI : Playbook for Trust, Risk, and Security Management (TRiSM)

AI's growing security risks have 48% of global CISOs alarmed. Join this keynote to learn about a practical playbook for enabling AI Trust, Risk,...

Spotlight Talks

Spotlight 47:42

Cybersecurity – Where Leaders are Buying, Building, and Partnering

Rehan Jalil
Watch Now View
Spotlight 46:02

Building Safe Enterprise AI: A Practical Roadmap

Watch Now View
Spotlight 13:32

Ensuring Solid Governance Is Like Squeezing Jello

Watch Now View
Spotlight 40:46

Securing Embedded AI: Accelerate SaaS AI Copilot Adoption Safely

Watch Now View
Spotlight 10:05

Unstructured Data: Analytics Goldmine or a Governance Minefield?

Viral Kamdar
Watch Now View
Spotlight 21:30

Companies Cannot Grow If CISOs Don’t Allow Experimentation

Watch Now View
Spotlight 2:48

Unlocking Gen AI For Enterprise With Rehan Jalil

Rehan Jalil
Watch Now View
Spotlight 13:35

The Better Organized We’re from the Beginning, the Easier it is to Use Data

Watch Now View
Spotlight 13:11

Securing GenAI: From SaaS Copilots to Enterprise Applications

Rehan Jalil
Watch Now View
Spotlight 47:02

Navigating Emerging Technologies: AI for Security/Security for AI

Rehan Jalil
Watch Now View

Latest

View More

Accelerating Safe Enterprise AI with Gencore Sync & Databricks

We are delighted to announce new capabilities in Gencore AI to support Databricks' Mosaic AI and Delta Tables! This support enables organizations to selectively...

View More

Building Safe, Enterprise-grade AI with Securiti’s Gencore AI and NVIDIA NIM

Businesses are rapidly adopting generative AI (GenAI) to boost efficiency, productivity, innovation, customer service, and growth. However, IT & AI executives—particularly in highly regulated...

Key Differences from DLP & CNAPP View More

Why DSPM is Critical: Key Differences from DLP & CNAPP

Learn about the critical differences between DSPM vs DLP vs CNAPP and why a unified, data-centric approach is an optimal solution for robust data...

DSPM Trends View More

DSPM in 2025: Key Trends Transforming Data Security

DSPM trends in 2025 provides a quick glance at the challenges, risks, and best practices that can help security leaders evolve their data security...

The Future of Privacy View More

The Future of Privacy: Top Emerging Privacy Trends in 2025

Download the whitepaper to gain insights into the top emerging privacy trends in 2025. Analyze trends and embed necessary measures to stay ahead.

View More

Personalization vs. Privacy: Data Privacy Challenges in Retail

Download the whitepaper to learn about the regulatory landscape and enforcement actions in the retail industry, data privacy challenges, practical recommendations, and how Securiti...

Nigeria's DPA View More

Navigating Nigeria’s DPA: A Step-by-Step Compliance Roadmap

Download the infographic to learn how Nigeria's Data Protection Act (DPA) mapping impacts your organization and compliance strategy.

Decoding Data Retention Requirements Across US State Privacy Laws View More

Decoding Data Retention Requirements Across US State Privacy Laws

Download the infographic to explore data retention requirements across US state privacy laws. Understand key retention requirements and noncompliance penalties.

Gencore AI and Amazon Bedrock View More

Building Enterprise-Grade AI with Gencore AI and Amazon Bedrock

Learn how to build secure enterprise AI copilots with Amazon Bedrock models, protect AI interactions with LLM Firewalls, and apply OWASP Top 10 LLM...

DSPM Vendor Due Diligence View More

DSPM Vendor Due Diligence

DSPM’s Buyer Guide ebook is designed to help CISOs and their teams ask the right questions and consider the right capabilities when looking for...

What's
New