Zyrix Launches ATLAS, an AI Agent Testing Platform That Helps Enterprises Prove Agents Are Safe to Ship
ATLAS (Agent Testing & Assurance) turns business requirements into realistic test scenarios without source code access, and delivers an evidence-backed Go/No-Go decision before an agent reaches customers.
- Houston, TX (1888PressRelease) October 29, 2026 - Zyrix, part of Zyrix AI Labs Inc., launched ATLAS™, an AI agent testing platform that checks not just what an agent says, but what it does, and tells teams with evidence whether the agent is ready for production.
The launch comes as enterprises move AI agents from pilots into customer-facing work, and many projects are not making it. Gartner predicts that over 40% of agentic AI projects will be canceled by the end of 2027, citing escalating costs, unclear business value and inadequate risk controls.
An agent can sound right and still do the wrong thing
Most testing checks the final answer, but agents fail in the actions behind it. An agent handling a banking dispute can explain the issue perfectly while pulling the wrong transaction, sending invalid API parameters or skipping a required approval. And because agents change with every model or prompt update, last week’s passing test proves little this week. “Our clients are rushing to put AI agents in front of customers, but most have no reliable way to prove those agents follow their security rules and business policies,” said Radhika Rao, Co-founder at Zyrix. “ATLAS isn’t only about avoiding failure. It gives teams the evidence they need to deploy agents faster and scale AI without putting their brand reputation at risk.”
What makes ATLAS different
No source code needed. ATLAS turns business requirements into multi-turn test scenarios, from normal journeys to edge cases and adversarial attacks such as prompt injection and jailbreaks. One view for every team. QA, AI engineering and business teams work from the same results and agreed release criteria, not demos and gut feel. Evidence, not opinion. Each run produces a Production Readiness Score, a Go/No-Go recommendation and state and API evidence trails showing where and why an agent failed.
“Automated checks give you scale, and human experts give you judgment. Enterprises need both before an agent touches a customer account,” said Parthasarathi Bhattacharjee, Head of Innovation & Technology at, Zyrix. “RLCJ brings the two together, so teams get a verdict they can defend to security, risk and business stakeholders.”
How ATLAS works
ATLAS follows five steps. It discovers the agent’s tools, rules and boundaries; generates realistic scenarios; validates behavior end to end, including tool selection and parameters; issues a release recommendation; and repeats testing whenever models, prompts or integrations change, catching drift before customers do. ATLAS evaluates AI agents across their operating environments, including interactions with external tools, enterprise data, APIs, and other agents. By validating how agents interpret instructions, make decisions, interact with connected systems, and execute tasks, ATLAS helps teams assess agent readiness before deployment and maintain confidence as agents evolve. ATLAS complements human oversight, security reviews, and production monitoring with a dedicated layer of behavioral validation throughout the agent lifecycle.
Availability
ATLAS is available in early access for enterprise teams. Book a free demo at https://zyrix.ai/ai-agent-testing/.
About Zyrix
Zyrix has built its reputation on enterprise test automation, from everyday regression testing to complex legacy modernization. Part of Zyrix AI Labs Inc. and headquartered in Irving, Texas. Zyrix delivers agentic AI-powered enterprise assurance, with a portfolio spanning AI-driven test automation, API testing, data quality, test data management, AI product engineering and, with ATLAS, AI agent testing.
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