Generative AI: Unlocking Potential with Responsible Innovation

Key Takeaways:

1. Generative AI is leapfrogging other technologies, offering massive potential, but also introducing new risks and concerns.
2. Responsible adoption of generative AI requires addressing security, data privacy, data governance, and regulatory compliance challenges.
3. The solution lies in a composable, enterprise-ready approach that provides secure data access, sanitization, and model management.
4. This approach offers efficiency, confidence, and contextual insights, enabling non-technical users to build and manage generative AI use cases.

Potential and Challenges of Generative AI

• Generative AI advancements are driven by connecting proprietary data with large language models (LLMs), enabling new applications and insights.
• However, this power comes with great responsibility, as organizations must address:
  • Security risks, such as protecting against malicious actors and internal threats.
  • Data privacy commitments to customers.
  • Data governance and regulatory compliance.
• Only 37% of CIOs feel their generative AI solutions are production-ready, due to this juxtaposition of potential and concerns.

The Solution: Gen Core

The Gen Core solution proposes a composable, enterprise-ready approach to address the challenges of generative AI adoption:

1. Secure and Sanitize Data Access:

   • Safely connect to enterprise data systems.
   • Sanitize and redact sensitive information.
   • Manage technical aspects like data vectorization and model selection.

2. Secure the Entire Pipeline:

   • Implement a multi-layered firewall approach, including prompt, retrieval, and response firewalls.
   • Provide flexibility to choose the desired components of the pipeline.

3. Deliver Efficiency and Confidence:

   • Leverage a common layer of enforcement policies, certified models, and secure data access methods.
   • Provide contextual insights, connecting files, LLMs, and sensitive data to use cases.
   • Offer an interactive, no-code interface for non-technical users to build and manage generative AI use cases.

Customer Use Cases

1. Co-Pilot Integration:

   • Reduced response times by 70%.
   • AI handled 73% of queries.
   • 92% customer satisfaction.

2. Data Vectorization and Sanitization:

   • Streamlined the process of creating embeddings and securely sanitizing documents.

3. Regulatory Compliance:

   • Automatically redacted and sanitized data based on specific regulatory requirements (e.g., PCI DSS 4.0).

Get a Demo

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• Visit the booth to learn more and request a demo of the Gen Core solution.