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WorkspaceDNA Launches ATP360, the First Autonomous Continuous Change Validation Platform.
Continuous Change Validation for the AI era: ATP360 autonomously validates Windows updates, security patches, policy changes, and application releases on real endpoints in a secure pre-production mirror of the workspace — producing audit-grade evidence that every change is safe before it reaches users.
LAS VEGAS, NV — September 15, 2026 — WorkspaceDNA (previously Rimo3) today announced the general availability of ATP360, the first autonomous platform for Continuous Change Validation (CCV) — a new discipline for the AI era: the continuous, autonomous validation and governance of enterprise change, establishing what changed, what it touches, what could break, who is affected, and what risk is introduced — before deployment, at the pace AI now creates change.
AI has collapsed the cost of producing change — and left the cost of trusting it exactly where it was. Remediation windows have shrunk from fifteen days to one hour, while patch volume climbs relentlessly. Upstream, exposure and patch management tools find the problem and ship the fix. Downstream, DEX and ITSM tools measure the experience and absorb the ticket after impact. Nobody owns the layer in between — proving the change is safe before it deploys. Organizations are left choosing between deploying unvalidated change or delaying the modernization and security work they cannot afford to postpone. Manual user acceptance testing, built for a monthly change cadence, cannot close that gap.
The change-velocity crisis, by the numbers
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More than 40,000 new vulnerabilities (CVEs) were disclosed in 2024 — a 38% jump over 2023 and the seventh consecutive record year, driving relentless patch volume. (CVE/NVD data)
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90% of organizations say a single hour of downtime costs more than $300,000, and 41% of enterprises put it at $1 million or more. (ITIC, 2024)
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8.5 million Windows devices were knocked offline by a single faulty software update in July 2024 — causing an estimated $5.4 billion in direct losses to Fortune 500 companies alone. (Parametrix, 2024)
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Nearly 40% of organizations suffered a major outage caused by human error in the past three years; 85% traced to failures to follow procedures or to flawed processes themselves. (Uptime Institute, 2025)
“Discovery has moved to machine speed. Verification has not.”
“That asymmetry is the most important unsolved problem in enterprise IT,” said Samit Halvadia, CTO and Co-founder of WorkspaceDNA. “Every patch and update ripples through the application, the workspace, and the user — and almost nobody measures it. ATP360 lets you see that ripple before you deploy, not after your users do.”
Unlike scripted automation, ATP360 evaluates applications the way a user would — interpreting what appears on screen, adapting when the interface changes, and validating outcomes without pre-built scripts or APIs. That lets it reach the legacy, UI-only applications with no automation hooks that scripts and robotic process automation cannot touch — on physical endpoints as well as virtual desktops and cloud PCs.
How ATP360 works
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Mirror the workspace. A secure pre-production mirror of the workspace is created inside the customer’s own Azure tenant, running on real Windows endpoints. Production is never touched.
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Apply the change. The update — a security patch, a Windows update, an Intune policy change, an application release, or a configuration change — is applied exactly as it would land in production.
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Validate the ripple. Using autonomous visual reasoning, ATP360 observes precisely what changes and what breaks, tracing the impact from the application through its dependencies to the workspace and user workflows — determining what changed, who is affected, the severity, and whether deployment is safe.
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Hand a human the evidence. Every run produces a complete package — session recording, screenshot trail, full audit log, risk scoring, and an executive summary. One build validation produced 26 evidence files and returned an honest conditional pass rather than overstating what it could confirm. The AI does the work; a named human makes the call. Nothing deploys without explicit sign-off against the full evidence package.
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Deploy with confidence. Validated change moves to production, with the entire cycle completing inside the one-hour window modern remediation SLAs demand.
Measured, not modelled
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Speed — weeks become minutes. Validation cycles that once took three to four weeks complete in ten minutes to two hours. A 13-stage build validation ran unattended, start to evidence, in roughly 23 minutes; an 88-agent-step application validation spanning six workflows completed in roughly 37 minutes, recovering from more than 20 retries along the way.
- Economics — costed to the cent. Certifying an application manually costs roughly $350; an automated ATP360 run costs $2 to $15. The two runs above were fully instrumented end to end — $10.86 and $14.84 — with every model and token included.
ATP360 has been proven with design partners in financial services, healthcare, and insurance — regulated environments with the lowest tolerance for operational disruption. “Replaces manual UAT. Audit-ready without overhead,” said a Tier 1 global bank design partner. A global healthcare enterprise design partner reported that ATP360 “passed AI governance review and met every requirement.”
Assure the change. Govern the AI. Control the ripple.
As AI accelerates both enterprise change and the sophistication of cyber threats, human teams and traditional processes cannot operate at the required speed and scale. Enterprises increasingly need AI to fight AI — under enterprise control. ATP360 is built for that reality: human-in-the-loop by design, with guardrails, kill-switch, and full auditability — step caps, retry limits, and cost ceilings per run; architecturally prevented from reaching production; every action and decision logged.
ATP360 fits existing enterprise workflows, operating where desired under the control of the customer’s ServiceNow platform to bring validation and intelligence directly into established change processes. And as AI agents proliferate, WorkspaceDNA aligns with where governance is going: complementing Microsoft Agent 365, Microsoft’s control plane for AI agents, by applying guardrails, oversight, and control to AI-driven change — because every AI action can create another ripple.
Built for enterprise security. Validation never touches production and runs entirely inside the customer’s Azure tenant, in any region. Customer data remains isolated within that environment and is not used to train external models, and Secure Secrets Management — released in version 1.2.1 — keeps passwords, API keys, and access tokens out of the model’s reach.
ATP360 is generally available today. Organizations can request a live demonstration or learn more at workspacedna.com — and ask us to move the button: the most useful thirty minutes you can spend on ATP360 is watching it hit an obstacle live. With Continuous Change Validation in place, enterprise teams can deliver security updates, modernization, and innovation at the pace change now arrives — without increasing operational risk.
About WorkspaceDNA
Every workspace has a DNA. Every application, endpoint, dependency, policy, and configuration is part of a unique digital ecosystem — and every change to it ripples outward. WorkspaceDNA (previously Rimo3) builds a living model of that ecosystem, revealing the business impact of change before it reaches production.
From migrations and application validation to patching, endpoint modernization, and AI-driven operations, WorkspaceDNA helps enterprises move faster with greater certainty. The platform spans the full lifecycle of enterprise change through five purpose-built engines — Change360, Patch360, Boost360, Clarity360, and ATP360.
Next-generation AI performs the analysis; human experts stay in control. The result is real-time, auditable intelligence that replaces manual effort, reduces risk, and accelerates decision-making. Built on a foundation of Microsoft enterprise expertise and evolved to understand any digital workspace — regardless of operating system, endpoint, application, or environment.
Assure the change. Govern the AI. Control the ripple. Know before you deploy — at the speed of AI. Learn more at workspacedna.com.
Media Contact
Misty Scott
Chief Marketing Officer, WorkspaceDNA
marketing@workspacedna.com
WorkspaceDNA.com
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