Explore three real-world NeoLoad MCP use cases showing how enterprises automate performance testing, reduce analysis time, empower non-experts, and accelerate AI-driven workflows with agentic performance testing.
Explore three real-world NeoLoad MCP use cases showing how enterprises automate performance testing, reduce analysis time, empower non-experts, and accelerate AI-driven workflows with agentic performance testing.
NeoLoad 2026.1 brings a more unified and modern NeoLoad Web experience across deployment models, offers cloud capabilities with enhanced security features for teams with strict network requirements, and strengthens governance for how Virtual User Hours (VUH) are managed across complex organizations.
AI is generating code faster than enterprises can validate it. The Tricentis Agentic Quality Engineering Platform unifies AI agents, governance, and enterprise context to help teams automate testing, reduce risk, and release high-quality software at AI speed.
AI Workspace enables enterprises to orchestrate and govern AI agents across the SDLC, making autonomous quality engineering scalable and safe.
Modern software delivery moves fast, but green dashboards don’t always mean real coverage. As AI accelerates code generation, the gap between test activity and true validation continues to grow.
AI is accelerating software delivery, but traditional test management can’t keep up. As applications change faster and AI generates more code, quality teams face growing risk and shrinking decision windows.
Tricentis Agentic Test Automation for Salesforce uses AI-driven agents to simplify testing across Salesforce processes—delivering robust, no-code tests 67% faster than manual methods.
Tricentis NeoLoad 2025.3 enhances performance engineering with Core Web Vitals, cloud load gen & AI-powered MCP.
Learn how Tosca and SeaLights integrate to streamline testing, cut execution time, and reduce risk with smart, code-aware test selection.
