Deploy, coordinate, govern, and improve AI agents across security operations. Start in the SOC and expand across security.
Deployed in weeks. Results from day one.
Reduction in alert investigation time
Analyst hours saved
Reduction in threat intel investigation time
Auditable agent activity across procedures
Workflows start with a goal defined by the analyst. Bricklayer assembles the right AI agents, expertise, data, and context to work toward that goal, coordinating their actions within defined operating procedures.
Built to support security operations where AI agents need to work together. Extend the same governed AI workforce across the SOC, threat intelligence, vulnerability management, threat hunting, incident response, product security, and beyond.
Start with a high-value workflow, expand from there.
MCP gives AI access to tools. Bricklayer turns those capabilities into a governed workforce. Build your AI workforce on the environment you already have, without tying your operating model to a single technology stack.
MCP & API Integrations →
Build custom or choose prebuilt AI agents. Role-Based Agents know the job. SME Agents know the tools. Bricklayer coordinates them as a team. Shared context, collaboration, and reusable procedures let agents build on prior work.
Define a goal and Bricklayer AI will build an auditable, task-based workflow. Agents execute, humans oversee.
Workbenches designed for human and agent collaboration allow you to visualize, question, drill-down, and modify any procedure.
Agents surface findings with documented reasoning. Dashboards track outcomes, performance, and progress against goals.
Built for modern security teams that need speed, control, and trust.
Bricklayer coordinates AI agents around the work your teams need to accomplish, combining Role-Based Agents, SME Agents, shared context, and approved procedures.
AI agents share context, coordinate work, and operate from approved procedures rather than isolated prompts. Each agent contributes its expertise towards the objective.
Decisions, findings, and learnings become reusable organizational knowledge. Agents can build on work that has already been done instead of starting from scratch each time.
Every action is observable, measurable, and auditable. Define roles, permissions, and runtime policies so AI agents operate within the authority you give them.
Your team stays in control. Your threats get handled at scale. See it live in 30 minutes.