S2E Generative Shield: how to address reliability, risk, and security management issues in conversational generative AI

Milan, 22th may 2024 Conversational generative AI has changed the digital landscape forever. This technology harnesses the power of advanced AI models based on deep learning to generate human-like content in response to user requests. Because of their ability to automate and simplify complex tasks in various business processes, virtual assistants are now more popular than ever. However, this remarkable progress has introduced a new set of challenges in terms of reliability, compliance, and security-related risks.

S2E’s Generative Shield, is a cutting-edge solution designed to address these issues and provide secure and compliant brokering in the use of AI-powered assistants, enabling companies to leverage the capabilities of conversational generative AI while ensuring data security and privacy.

Mitigating the risk of exposure of sensitive data with timely moderation
Generative Shield offers an instant moderation function to reduce the risk of sensitive data disclosure when interacting with AI-powered agents. This feature allows companies to define specific filters to identify and alert users when sensitive data is detected within the conversation, defining which moderation strategy to adopt based on the type of data detected. In other words, organizations have the flexibility to design their own content moderation policies and can also specify whether sensitive data should be blocked or whether users should be granted approval to share data. This level of control ensures that data privacy is maintained without compromising the user experience.

This filtering system also makes business users aware of the importance of data privacy, promoting a culture of responsible data management when interacting with conversational AI agents.

It should be kept in mind that moderation can also be applied to the responses provided by the agents themselves. In this way, organizations have greater control over the quality and content provided to users by virtual assistants: for example, they can decide that responses should not contain personal information, discrimination, crimes, financial data, and more. Moderation can also be applied to the actions, tasks, and areas of expertise that an assistant can manage independently: for example, it can be determined that an agent cannot provide financial advice, or direct a user’s behavior to take a specific action considered risky by the organization.

Disintermediation, observability, and governance of conversational agents
Generative Shield provides a disintermediation layer of generative conversational AI by supporting the centralization of governance policies for conversational agents in the enterprise. By integrating Generative Shield APIs into AI agents the enterprise unifies usage and security policies across individual agents, adding a replicable level of security, moderation, and observability across the different use cases the enterprise makes use of. This integration is native with agents built through Generative Pillars, S2E’s offering that brings together the expertise to build custom, state-of-the-art AI conversational agents with the latest technologies and best practices. Through Generative Pillars and Generative Shield S2E aims to provide the tools needed for controlled, responsible, reliable, and sustainable adoption of AI agents in the enterprise.

It should be emphasized that Generative Shield is fully GDPR compliant and offers a secure infrastructure and data privacy system built in, so organizations do not have to worry about this.

The main features of Generative Shield are:

• Full control over moderation modes: choose what type of data and information needs to be moderated, as well as the corresponding moderation strategy.
• Integrable into any AI agent: through the API suite you can integrate Generative Shield directly with AI agents. Integration is native to agents built through the S2E Generative Pillars suite.
• Disintermediation and control of AI: governs the deployment of conversational AI in the enterprise, promoting centralization and uniformity of governance and control policies.