Launch secure, autonomous agents directly where your data lives.
EnterpriseClaw is an autonomous agent that can be used to prompt and run mission-critical tasks, directly where you work. It extends the Automation 360 platform you already operate, using the same Control Room governance, the same distributed Bot Runner infrastructure, and the same credential and audit frameworks that underpin the Automation 360 platform. The same platform now also manages autonomous EnterpriseClaw agents in your environment.
With EnterpriseClaw, you can build deploy and govern autonomous agents that can access local files, terminals, browsers, legacy applications, and sensitive systems that cloud-native agents cannot reach. EnterpriseClaw agents are self-directed: they can develop and execute their own tools, adapt and iterate over time, and run closest to where data actually lives.
Most AI Agent platforms are built for cloud-native environments. They interact with SaaS applications and public APIs, which works well for many tasks, but leaves a significant class of enterprise work unaddressed: workflows that involve on-premises systems, regulated data, legacy desktop applications without APIs, and environments where data residency or compliance rules prohibit sending data to an external cloud.
EnterpriseClaw is built specifically to close this gap, enabling AI Agents to work in environments previously off-limits:
- Legacy systems with no API: Navigate internal portals, legacy desktop apps, and siloed data stores that traditional integrations cannot reach.
- Regulated and sensitive data: Run agents on data that cannot leave your firewall, meeting data residency, audit, and compliance requirements.
- On-premises infrastructure: Access local files, terminals, and applications on desktops and servers inside your network.
- Locked-down dev environments: Perform code generation and debugging inside secure environments where IP must remain internal.
What you can do with EnterpriseClaw
- Running a local agent
- Deploy an agent directly on the machine hosting your data, applications, or systems. The agent operates behind the firewall with local access to files, browsers, terminals, and legacy desktop applications, handling tasks that are impossible for cloud-based agents due to security, compliance, or connectivity constraints.
- Unattended agent in an agentic process
- Run EnterpriseClaw as a fully unattended participant in a broader automated workflow. The agent receives a goal, executes autonomously across multiple steps and tools, and returns a result without human intervention, making it a reliable building block in end-to-end enterprise processes.
- Agentic orchestration
- Coordinate multiple agents working in parallel or in sequence across a process, with each agent handling a discrete scope of work and passing outputs to the next stage. This enables complex, multi-agent workflows where value compounds across the process rather than being isolated to a single task.
Governance and Security
EnterpriseClaw extends the same Control Room infrastructure that already manages your agents and automation, applying proven policy, credential, and audit controls to local AI Agents.
- Centralized control, local enforcement: Governance policies, access controls, AI
guardrails, and credentials are configured in Control Room and
enforced on every device running a local agent, with audit logs. AI Governance
logs includes executive traces of agent activity in both event and prompt logs.
Identify this activity by the source,
AI_AGENT_LOCAL.Note: Currently, sorting is recommended. This source is unavailable from the filtering menu. - Identity and network security by design: Agent identities are scoped through the existing credential vault, and agent-to-system communication is secured in partnership with Cisco, ensuring agents operate within existing enterprise security boundaries.
- Data never leaves your environment: Execution runs entirely behind the firewall, satisfying data residency and audit requirements in regulated industries without any additional configuration.
Licensing and permissions
Users need the appropriate license and permissions to deploy EnterpriseClaw agents. The following requirements apply before the EnterpriseClaw agent can be used in any automation.
- License: EnterpriseClaw is included in the APA
platform license.Note: Currently the license displays as EnterpriseClaw when assigning users in the Control Room.
- Permissions:
- A developer license is required to build and configure EnterpriseClaw agent in automation.
- The user must have Bot Creator or equivalent permissions assigned in the Control Room.
- The Manage model connection permission is required to completely build an EnterpriseClaw agent.