Map the protected workflow
Identify the operational owner, agent runtime, identity, tools, data, and permitted actions. Establish the execution boundary and acceptance criteria.
Solutions
Enterprise agent security built around Databridle, focused implementation, and engineering accelerators that connect the solution to your environment.
Customer outcomes
Start with a defined operational workflow. Extend the same security model across teams, tools, and environments.
Control agents that inspect systems, handle sensitive logs, and make infrastructure changes.
Engineering & IT 02 / SECURITY OPERATIONSGovern high-impact response actions with resource context, approvals, and verified effects.
Security operationsThe platform at the center
Connect the person or system delegating the work to the action an agent can execute. Bring trusted context, exact-action approvals, and execution evidence into one security architecture.
Use that architecture across operational automation, agent-assisted software delivery, and security response.
Explore Databridle ↗Software + implementation
Identify the operational owner, agent runtime, identity, tools, data, and permitted actions. Establish the execution boundary and acceptance criteria.
Integrate Databridle with the selected systems. Configure policies, approvals, and evidence handling; apply PrismWorks accelerators where they fit.
Exercise allowed, denied, approval-required, and failure scenarios. Deliver operating documentation, support responsibilities, and a clear scope of protection.
Extend supported integrations and policy patterns to additional workflows, applications, and teams. Keep a common product and operating model.
PrismWorks technology and open source
Agent supervision, credential management, tool connectivity, and open control contracts. Select the components that advance your workflow.
A workspace for supervising coding agents, coordinating software delivery, and reviewing their work. Bring accountable engineering practices to agent-assisted development.
Role in delivery: agent supervision and engineering workflow.
Git-native secrets management for engineering teams. Manage credentials and access alongside the systems and workflows that use them.
Role in delivery: secrets and credential management.
Rust tooling for building MCP clients and servers. Connect agent workflows with enterprise tools through a common interface.
Role in delivery: agent-to-tool connectivity.
Explore the Rust SDK ↗An open-source initiative started by PrismWorks. Protocol contracts and reference libraries for evidence, verification, and policy controls across agent workflows.
Role in delivery: portable agent reliability controls.
Explore UAICP ↗Databridle is the enterprise security platform at the center of the solution. Implementation connects the selected components to your environment, including existing identity, vault, and agent systems. Open-source components remain independently usable.
Model and cloud ecosystem
Shape the deployment around your model provider, cloud environment, enterprise identity, and operational requirements.
Define the boundary between the agent’s reasoning and the tools that execute its requests. Scope authority, review, and evidence around consequential tool calls.
Claude tool-use documentation ↗Map the solution to your AWS environment, including Amazon Bedrock where used. Establish workload identity, protected execution paths, and evidence handling.
Amazon Bedrock documentation ↗Plan the deployment around Azure workloads and Microsoft Entra identity where used. Connect agent authority to enterprise ownership and access policy.
Microsoft Entra documentation ↗Deployment scope identifies the services, interfaces, and execution paths covered by your solution.
Move forward with authority
Bring your workload, technology environment, and operational goals. We’ll define the Databridle solution and implementation scope.