Uranusys Secure AI Agent Development Lifecycle
Autonomous AI agents are moving rapidly from experimentation into operational environments. These systems are no longer limited to analysis or recommendation. They initiate actions, interact with systems, and operate continuously with limited human oversight.
This shift introduces a new class of operational, security, and governance risk. While existing AI governance models address models, data, and outcomes, they do not fully account for the lifecycle behavior of autonomous agents operating in production.
USA-ADL™ addresses this gap.
USA-ADL™ is an openly published lifecycle governance framework designed to govern AI agents as operational actors across their full lifespan. It defines how agents are authorized, constrained, monitored, audited, changed, and ultimately decommissioned in real environments.
Traditional AI governance assumes bounded systems with predictable execution paths. Agentic AI breaks this assumption.
AI agents:
In many organizations, accountability weakens as agents move from development into operation. Ownership becomes unclear. Authorization boundaries drift. Auditability degrades. Decommissioning is rarely planned.
These failures are rarely caused by model error. They are governance failures.
USA-ADL™ was created to establish lifecycle authority where traditional governance stops.
USA-ADL™ defines governance logic for AI agents across seven lifecycle phases:
Across these phases, USA-ADL™ introduces governance controls that treat AI agents as non human identities with defined ownership, authorization scope, and accountability over time.
The framework is tool agnostic, model agnostic, and vendor neutral.
USA-ADL™ is not a product.
USA-ADL™ is not a scanner.
USA-ADL™ is not a checklist of vulnerabilities.
It does not replace risk identification frameworks or technical safeguards. Instead, it provides the governing structure that allows those controls to remain effective as agents evolve in production.
USA-ADL™ is designed to complement existing standards and guidance.
Risk focused frameworks identify what can go wrong in agentic systems. Management standards describe desired outcomes. USA-ADL™ defines how authority, ownership, and accountability are maintained across the agent lifecycle.
This makes USA-ADL™ particularly suitable for organizations aligning with:
Without lifecycle governance:
With lifecycle governance:
USA-ADL™ enables organizations to operate autonomous agents with confidence rather than assumption.
USA-ADL™ is openly published for reference and adoption. The framework specification is public.
Implementation methodologies, assessment models, tooling, training programs, and certifications are governed and maintained separately by Uranusys.
Use of the USA-ADL™ name or branding to imply certification or endorsement requires explicit authorization.
USA-ADL™ is designed for:
Your Autonomous Future Starts Here. Uranusys helps organizations evolve from manual, reactive operations to continuous intelligence powered by secure AI Agents. Start building securely with USA-ADL™. Start accelerating with Uranusys AI Agents
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