Palo Alto Networks vs Siemens

A cloud-delivered service within Prisma SASE that discovers shadow AI usage and applies access controls and data loss prevention to generative AI applications.

Endpoint detection and response platform marketed as "the foundation of the AI-driven SOC," with an AI agent assistant (Cortex AgentiX) for investigation and response.

An AI-driven security operations platform that unifies SIEM, SOAR and detection-and-response data with automation and AI agents to run a security operations centre.

Palo Alto Networks' proprietary AI system combining machine learning, deep learning and generative AI to automate threat detection, prevention and remediation across its Strata, Prisma Cloud and Cortex security platforms.

An AI security platform that discovers, scans and protects AI models, agents, applications and data against runtime and posture threats.

Runtime gateway component of Prisma AIRS that inspects and governs traffic to and from AI models and agents.

"The first AI-powered, unified solution for network security management and operations," with an AI assistant (Strata Copilot) and purpose-built AI agents for policy optimization, threat detection and remediation.

Generative-AI assistant for industrial engineers that answers equipment-troubleshooting questions by chat, generates and debugs automation code, and supports digital-twin simulation, built with Microsoft Azure AI.

Ready-to-use AI visual quality inspection system that trains on roughly 20 good samples to detect anomalies, deviations and missing parts on a production line without machine-vision or AI expertise.

Cloud predictive-maintenance software that applies industrial AI to machine and process data to forecast asset failures, rank risk across sites and prioritise maintenance work.

Generative and agentic AI system for Siemens EDA tools that ingests and vectorises multimodal design data, exposes a natural-language interface across the design workflow and automates debugging, with customer-choice LLM support.

Edge software suite for packaging, deploying, running and monitoring AI models on the factory floor, comprising an AI SDK, AI Inference Server and AI Asset Manager running on Siemens Industrial Edge and NVIDIA-accelerated industrial PCs.

Visual drag-and-drop and notebook-based platform in the Rapidminer portfolio for building, training and explaining machine learning and generative AI models, with AutoML tooling and deployment to cloud, on-premises or edge infrastructure.

Enterprise knowledge-graph platform in the Rapidminer portfolio, built on open W3C standards (RDF, SPARQL, OWL, SHACL), that federates cross-domain data into a governed semantic layer and gives AI agents a queryable, traceable context for grounded answers.