SUSE Introduces Secure Agentic AI Workflows and Advanced Observability

Enterprise software company SUSE has announced major updates to its SUSE AI platform at the SUSECON 2025 event held in Orlando, US. The latest improvements are designed to help enterprises deploy and manage AI workloads with greater transparency, security, and efficiency.

The updated SUSE AI platform introduces new observability features, advanced security guardrails, and support for agentic AI workflows. These updates aim to provide businesses with greater control over AI workloads, data privacy, and compliance.

“Through close collaboration with our customers and partners since launching SUSE AI last year, we’ve gained invaluable insights into the challenges of deploying production-ready AI workloads,” said Abhinav Puri, general manager of portfolio solutions and services at SUSE. “These new enhancements reflect our commitment to delivering transparency, trust, and openness in AI implementation.”

The platform now supports secure agentic AI workflows through tools and blueprints. These workflows help automate decision-making, reduce repetitive tasks, and enable experimentation to uncover patterns and drive innovation.

New observability features provide real-time insights into LLM token usage, GPU utilisation, and performance bottlenecks. These capabilities help predict costs, support scalability, and reduce AI application drift.

SUSE AI includes enhanced security features with a zero-trust security model. It integrates Infosys’ guardrail technology and provides blueprints for implementation. The system analyses data to prevent leaks, detects adversarial inputs, monitors sensitive data in outgoing packets, and secures data in transit.

The expanded SUSE AI Library includes Open WebUI Pipelines, custom retrieval-augmented generation (RAG), throttle input calls, and PyTorch support for image classification and natural language processing.