Superwise launches AgentOps for secure & compliant AI agent management
SUPERWISE has announced the introduction of its open AgentOps platform designed to provide real-time observability, control, and compliance for companies deploying third-party AI agents.
The new solution is intended to address what the company describes as a significant gap in the industry, as businesses ramp up their deployment of AI agents without adequate measures for risk mitigation and operational oversight. The AgentOps platform seeks to centralise and secure the management of AI agents, serving companies that increasingly rely on varied and decentralised agent architectures.
Operational oversight
The AgentOps release enables enterprises to deploy, serve, and manage AI agents created using a range of proprietary and open-source development platforms. Through this initiative, SUPERWISE provides built-in capabilities for compliance, monitoring, and operational management, positioning its service as a component for responsible and scalable AI deployment.
Russ Blattner, Chief Executive Officer at SUPERWISE, highlighted the current challenges in the AI landscape. "Building AI agents is only half the equation," he said. "The real challenge, and where organizations often stumble, is in managing them responsibly once they are live. This is precisely where SUPERWISE's expertise and leadership have consistently distinguished us - at the operational layer. With this launch, SUPERWISE is enabling teams to use the best open-source tools to build agents, while relying on our enterprise-grade infrastructure to govern, observe, and scale them safely."
Supporting diverse needs
The AgentOps platform is aimed at a broad spectrum of stakeholders within the enterprise. AI developers and engineers are able to continue using their preferred frameworks and tools while maintaining operational visibility and controlled workflows. Enterprise IT and AI leaders are provided with centralised management, allowing them to encourage innovation while avoiding dependency on single vendors. C-level executives are presented with tools to balance agility, governance, security, scalability, and cost.
The development philosophy behind AgentOps includes support for open-source software and low-code solutions, as well as built-in integrations and community-driven tooling. According to the company, the platform currently supports the deployment and management of agents developed through its Flowise framework, with planned compatibility for additional third-party frameworks such as Dify, CrewAI, Langflow, and N8n.
Framework flexibility
Oren Razon, Senior Director of Product at SUPERWISE, commented on the platform's role in letting developers maximise the investment in their tool choices. "Developers have their choices for open source frameworks. Rather than forcing them to switch in order to be governed, SUPERWISE allows developed agents to be run in our platform, which maximizes existing development investment without incurring the risks," he said.
SUPERWISE claims that as the deployment of AI agents becomes more widespread, the need for integrated governance, risk management, and operational transparency will increase across industries. The AgentOps platform is positioned to offer enterprises a cohesive and extensible approach to agent oversight, aimed at supporting ongoing compliance requirements and auditability as regulatory frameworks evolve.
The company points toward its experience in governance and operations as being central to this new release, making reference to the rising recognition within the industry that maintaining secure and auditable AI systems is becoming as critical as developing the agents themselves.
SUPERWISE is recognised by analyst firms for its contributions to enterprise AI governance and MLOps, framing its platform as offering integrated guardrails and compliance functionality for enterprises seeking to embed responsible AI within their operational processes.
