SUSE Unveils Secure Agentic AI Workflows and Enhanced Observability Features
These improvements aim to give businesses better control over their AI workloads while ensuring data privacy and compliance.
At the SUSECON 2025 event in Orlando, SUSE, an enterprise software company, unveiled significant updates to its SUSE AI platform. The updated SUSE AI platform now includes new observability features, advanced security controls, and support for agentic AI workflows.
These improvements aim to give businesses better control over their AI workloads while ensuring data privacy and compliance.
“Since launching SUSE AI last year, our close collaboration with customers and partners has provided us with invaluable insights into the complexities of deploying AI workloads in production,” said Abhinav Puri, General Manager of Portfolio Solutions and Services at SUSE. “These new features underscore our ongoing commitment to delivering transparency, trust, and openness in AI deployment.”
The platform now supports secure agentic AI workflows with new tools and blueprints. These workflows streamline decision-making, automate repetitive tasks, and enable experimentation to uncover patterns and drive innovation.
Enhanced observability features offer real-time insights into LLM token usage, GPU utilization, and performance bottlenecks. This helps predict costs, enhance scalability, and minimize AI application drift.
SUSE AI also incorporates robust security features, including a zero-trust security model. It integrates Infosys’ guardrail technology and provides blueprints for secure implementation. The platform analyzes data to prevent leaks, detects adversarial inputs, monitors sensitive data in outgoing packets, and ensures secure data transmission.
The expanded SUSE AI Library now includes Open WebUI Pipelines, custom retrieval-augmented generation (RAG), throttle input calls, and PyTorch support for image classification and natural language processing.
