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Airrived has launched AetherClaw at RSA Conference 2026, a purpose-built governance layer integrated into its Agentic AI platform. While early agentic frameworks successfully demonstrated the potential of autonomous multi-agent systems, they prioritized speed and flexibility over the enterprise essentials of policy enforcement, access control, auditability, and human oversight. AetherClaw addresses these gaps directly, delivering powerful agentic execution that is governed, auditable, and production-ready for enterprise environments from the start.
Agentic AI has shown strong promise in enabling autonomous, multi-agent capabilities through API-driven execution. However, transitioning from experimentation to secure enterprise production has revealed persistent limitations in safety, compliance, and control. AetherClaw was designed specifically for enterprise realities, embedding governance as a foundational element rather than an afterthought.
Early agentic frameworks excelled at rapid prototyping and unlocking new autonomous potential but were not engineered for enterprise demands. They featured overly broad access patterns without deep least-privilege enforcement, lacked a native policy-as-code layer to define acceptable agent behaviors, offered minimal structured human-in-the-loop workflows for approvals and escalations, provided difficult-to-reconstruct audit trails for compliance-heavy settings, and remained disconnected from enterprise identity and risk context. These design choices suited experimental use cases but created significant barriers to production-scale adoption in regulated organizations.
AetherClaw operates natively on Airrived's Agentic OS as a dedicated governed agentic execution layer. It combines deep reasoning, multi-agent coordination, and real-time API orchestration across enterprise systems within a fully configurable governance framework. Upon receiving an objective, AetherClaw decomposes it into multi-step workflows, orchestrates specialized agents, and executes actions adaptively while respecting evolving context and risk. Least-privilege access controls constrain every action, policy-as-code governs decisions, defined escalation paths ensure oversight, and complete logging delivers full traceability for every API interaction. Governance is seamless and operationally transparent, eliminating the need for organizations to build separate safety infrastructure.
AetherClaw applies its governed execution model to critical security areas including identity and access management, vulnerability management, security operations, and governance, risk, and compliance. It orchestrates across these domains from a unified, policy-controlled intelligence layer that natively incorporates enterprise identity posture and risk signals. This enables secure, predictable automation that aligns with organizational boundaries, compliance requirements, and risk management priorities.
AetherClaw empowers enterprises to embrace the agentic AI era confidently, transforming experimental autonomous capabilities into trusted, scalable infrastructure without compromising security or control.
About Airrived
Airrived is building the Agentic OS for the enterprise — the governance and orchestration layer that transforms autonomous AI from experimental capability into trusted infrastructure. By combining fine-tuned domain models, deep reasoning, multi-agent orchestration, and policy-driven control, Airrived enables enterprises to create domain-specific intelligence and operationalize it through autonomous agents that don't just think — but act securely, predictably, and at scale. While others focus on enabling AI to act, Airrived defines how it can be trusted to act.
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