Generative AI: Unlocking Potential with Responsible Innovation
Key Takeaways:
- Generative AI is leapfrogging other technologies, offering massive potential, but also introducing new risks and concerns.
- Responsible adoption of generative AI requires addressing security, data privacy, data governance, and regulatory compliance challenges.
- The solution lies in a composable, enterprise-ready approach that provides secure data access, sanitization, and model management.
- 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:
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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.
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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.
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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
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Co-Pilot Integration:
- Reduced response times by 70%.
- AI handled 73% of queries.
- 92% customer satisfaction.
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Data Vectorization and Sanitization:
- Streamlined the process of creating embeddings and securely sanitizing documents.
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Regulatory Compliance:
- Automatically redacted and sanitized data based on specific regulatory requirements (e.g., PCI DSS 4.0).
Get a Demo
- Scan the provided QR code to access materials, including brochures, white papers, and blogs.
- Visit the booth to learn more and request a demo of the Gen Core solution.