Bricklayer AI

What Bricklayer AI does

Bricklayer AI provides a governed, coordinated AI workforce for Security Operations Centers (SOCs) to investigate threats, build evidence, and close cases alongside human analysts. The platform is built around three core principles: context, coordination, and control, enabling SOC teams to reduce noise, accelerate investigations, and scale operations without sacrificing governance or accountability. It deploys AI agents that understand the environment, work together as teams, and operate under full human control, purpose-built to scale the work analysts can't do alone. The platform connects existing security tools and data stores, allows for the assembly of custom or prebuilt AI agents, defines auditable, task-based workflows, and provides workbenches for human and agent collaboration. It aims to help security operations teams keep pace with AI-driven threats and an ever-expanding attack surface by introducing a coordinated, agent-based approach to the SOC.

Products

• Agentic Cybersecurity PlatformA platform with 50+ expert agents that triage, investigate, and execute across a security stack, following approved procedures with full transparency and auditability. It allows for connecting existing security tools, assembling AI agent teams, defining procedures, collaborating with AI teams, and delivering/reviewing results.

Key capabilities

• Governed, coordinated AI workforce
• Context-aware agents operating with full awareness of the environment (tool data, threat intelligence, historical memory, organizational context)
• Coordinated AI agents that collaborate as a team and work alongside analysts in a shared workspace
• Human control over how work gets done, with enforced policies, RBAC, and complete audit trails
• Purpose-built agents for SOC workflows (triage, enrichment, reporting)
• Agent-powered integrations (pre-built or generated from API specifications)
• Workbenches for human and agent collaboration
• Dashboards to track outcomes, performance, and progress
• Workforce-Native AI built around roles, workflows, and tools
• Institutional Memory at Scale, where decisions and learnings improve over time
• Governance by Design, ensuring every action is observable, measurable, and auditable
• Conversation-driven design to turn natural language into structured security workflows
• Investigation Reports for structured reports and audit-ready evidence packages
• Task-Level Execution to decompose investigations into discrete tasks handled by specialized agents
• Visual Orchestration to map task dependencies and orchestrate multi-step procedures
• Procedure Engineering and Governance for human oversight through governed prompts, structured controls, and reusable procedures

Use cases

• Alert Triage and Response
• Incident Investigation and Case Management
• Vulnerability Management
• Threat Intelligence Operations
• Threat Hunting
• IOC investigation
• Threat-actor request
• EDR detection
• Phishing alert

AI approach

Bricklayer AI provides an agentic cybersecurity platform for Security Operations Centers (SOCs). It uses a coordinated ecosystem of intelligent AI agents that share context, collaborate, and operate under human oversight to triage alerts, investigate threats, and manage incidents, vulnerabilities, and threat intelligence. The platform emphasizes context, coordination, and control, allowing agents to understand the environment, work together, and adhere to defined policies and audit trails. It offers pre-built and generated integrations, allowing agents to build integrations from API specifications.

Tech named: AI agents

What it says sets it apart

• Coordinated ecosystem of intelligent agents that share context across alerts and investigations, collaborate as teams, and operate under defined human oversight, unlike AI agents that operate in isolation or focus on a single point solution.
• Addresses the problem of alert overload, inconsistent execution, and misguided decisions caused by siloed AI tools and growing work volume.
• Offers a workforce, not just a workflow, ensuring context carries across steps and analysts don't do connective work between agents, tools, and decisions.
• Built for modern security teams that need speed, control, and trust.
• Integrations are agent-powered, allowing agents to build integrations from API specs or documentation without coding.
• Prioritizes vulnerabilities by risk (evaluated against asset exposure, identity access, active threats) rather than just scores.

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.