Airrived has launched AetherClaw, a new capability on its Agentic AI platform designed to bring enterprise-grade governance to agentic AI security. Announced at RSA Conference 2026, the launch addresses a major challenge that many organizations now face. While agentic AI has already shown the power of autonomous, multi-agent systems, enterprises still need a reliable way to deploy those systems safely, with the governance, oversight, and control that production environments demand.

So far, early agentic frameworks have focused mainly on speed, flexibility, and API-driven execution. As a result, they helped unlock a new class of autonomous capability. However, they did not fully address the needs of enterprise environments. In most cases, those frameworks lacked deep least-privilege enforcement, policy-based governance, structured human oversight, and clear auditability. Consequently, businesses moving from experimentation to deployment have been left with a critical governance gap.

Ad Banner

Airrived is positioning AetherClaw as the answer to that problem. Rather than modifying an existing open framework, the company built AetherClaw from the ground up as a governed agentic execution layer. Therefore, the platform is designed specifically for enterprises that need security, policy enforcement, access control, audit trails, and risk-aware decision-making built into agentic systems from the start.

The company says early frameworks revealed several consistent limitations as adoption moved into production. For example, access patterns were often too broad, with no strong least-privilege controls to restrict what agents could reach. In addition, enterprises lacked a policy-as-code layer that could govern what agents should do, not just what they technically could do. Furthermore, many frameworks offered only limited human-in-the-loop workflows, leaving structured approvals, escalation paths, and oversight mechanisms mostly absent.

At the same time, audit trails often proved difficult to reconstruct, which created a serious challenge in compliance-heavy environments. Without full visibility into why a decision was made or an action was taken, enterprises faced unnecessary risk. Moreover, identity and risk context from enterprise environments were often disconnected from the agentic systems themselves, making it harder for agents to factor in IAM posture, organizational policy, and risk signals when acting.

AetherClaw was built to solve these exact issues. Natively integrated into Airrived’s Agentic OS, the capability delivers deep reasoning, multi-agent coordination, and real-time API orchestration across enterprise systems. More importantly, it does so inside a governance framework that enterprises can define, enforce, and audit. When users assign an objective, AetherClaw breaks it into multi-step workflows, coordinates specialized AI agents, and executes actions across enterprise APIs in real time while adapting to changing context and risk conditions.

In addition, every action remains constrained by least-privilege access controls. Every decision is governed by policy-as-code. Every escalation path is clearly defined. And every API interaction is logged with full traceability. Because of this, enterprises can scale autonomous execution without first building separate safety infrastructure around it.

Airrived is also emphasizing the practical security applications of the platform. In particular, AetherClaw brings governed execution to areas such as identity and access management, vulnerability management, security operations, and governance, risk, and compliance. By orchestrating across all four areas from a single, policy-controlled intelligence layer, the platform can operate with a native understanding of enterprise identity and risk context.

The launch also reflects Airrived’s recognition by Gartner as a leading innovator in Agentic AI, a position the company says is evident in AetherClaw’s architecture. Instead of simply demonstrating what agentic AI can do, Airrived is focusing on making it safe, predictable, and enterprise-ready today.

“Early frameworks enabled agentic execution and proved the concept. What enterprises needed next was a platform that could govern it — with fine-grained access control, policy enforcement, human oversight, and a complete audit trail built in from the start. That is what AetherClaw delivers,” said Anurag Gurtu, Co-founder and CEO of Airrived.

Overall, AetherClaw represents a significant step forward for organizations that want to adopt agentic AI without compromising security, compliance, or operational control. By combining autonomous execution with built-in governance, Airrived is helping enterprises move from experimental AI agents to real-world, production-ready deployment.

Recommended Cyber Technology News:

To participate in our interviews, please write to our CyberTech Media Room at info@intentamplify.com