Navigating the Future of AI with Secure GenAI Deployments

We, as a collective, are seeing a surge in the adoption of generative AI applications. And while exciting, this brings new security considerations that differ from traditional software models. With so many companies racing to use GenAI, a critical question arises: how can we ensure secure deployments without stifling innovation? At SUSE, we believe the answer lies in building a robust, open infrastructure platform designed from the ground up with security as a core principle: SUSE AI.

I was recently asked by Runtime Roundtable about this very issue, ensuring security of generative AI deployments without slowing down development pace. Over the past year, numerous companies globally have rapidly adopted generative AI applications. Securing these genAI applications presents distinct challenges compared to conventional software. This sentiment aligns with the core philosophy behind SUSE AI. To deploy GenAI securely and across the enterprise, organizations must prioritize robust data governance, adopt zero-trust security frameworks, and implement continuous monitoring throughout AI-driven processes. 

IDC research reveals a significant failure rate for AI Proof of Concepts (PoCs) transitioning to production, with many companies experiencing stagnation in the experimental phase. This gap is due to factors such as a lack of organizational readiness (data, processes, infrastructure), unclear ROI, insufficient AI expertise, data challenges, scalability and integration issues, governance and risk concerns, talent and skills gaps, and underestimated costs.

SUSE AI directly addresses this gap and the inherent risks associated with generative AI by helping keep data under control and preventing data leakage prompt injection. These threats, if unmitigated, can lead to costly repercussions, from financial losses to reputational damage. Our platform empowers organizations to deploy and run secure GenAI applications while maintaining agility and speed by integrating security at every stage of deployment. This approach aligns with the foundational principles of prioritizing robust data governance, adopting zero-trust security frameworks, and implementing continuous monitoring across all AI-driven processes.

But what does this look like in practice? SUSE AI embodies these principles through several key features. First, enhanced observability offers real-time visibility into operational data, such as LLM token usage, GPU utilization, and performance bottlenecks. This continuous monitoring allows enterprises to detect and respond to potential security threats in real time and identify issues quickly. Additionally, enhanced security features, including LLM guardrails and zero-trust security, analyze data and content, prevent data leaks, and detect adversarial inputs. This enables customers to protect sensitive data and maintain compliance at every level. Our collaboration with Infosys brings a comprehensive solution that integrates SUSE AI with Infosys Topaz AI offerings. This partnership leverages Infosys Responsible AI Suite, an ethical and regulatory guardrails framework, ensuring data privacy, regulatory compliance, and insight into AI workloads. Together, we provide an end-to-end stack for building, deploying, and scaling AI applications securely. 

SUSE AI supplies sanitized, supported AI components where all AI components and tools are built using SUSE’s common criteria certified build system. This supplies a verified and auditable supply chain and all of the necessary security certifications that highly regulated industries need.

SUSE AI’s robust data governance helps customers protect sensitive data and maintain compliance by providing the foundational infrastructure for establishing and enforcing clear guidelines for data access and usage. Our platform employs zero-trust security with predefined rules to analyze data, prevent leaks, and detect adversarial inputs. This ensures continuous security verification and strict access policies. Additionally, enhanced observability features provide real-time visibility into operational data, allowing enterprises to detect and respond to threats promptly and identify issues quickly.

By focusing on these critical security aspects at every stage, SUSE AI empowers enterprises to reap the full benefits of GenAI across their entire organization without compromising safety or hindering innovation. Our commitment is to provide a secure, transparent, and adaptable open infrastructure that allows our customers to move quickly and confidently in their AI deployments.

Learn more about SUSE AI here- https://www.suse.com/products/ai/