Bricklayer AI

Bricklayer AI functions as an operating platform designed to integrate an AI security workforce into existing security operations. It addresses challenges such as alert overload, inconsistent execution, and the limitations of siloed tools by deploying a governed and coordinated team of AI agents.

How it Works

The platform operates on a framework of Context, Coordination, and Control:

• Context: Agents are fully aware of the environment, incorporating tool data, threat intelligence, historical memory, and organizational context.
• Coordination: AI agents collaborate as a team, working alongside human analysts in a shared workspace to guide procedures and provide full visibility into plans, evidence, and reasoning.
• Control: Users define how work is done through enforced policies, Role-Based Access Control (RBAC), and complete audit trails, ensuring every AI agent action is visible, reviewable, and compliant.

Bricklayer connects various security operations lifecycle workflows, allowing teams to start with high-value tasks and expand. It aims to scale security work that analysts cannot do alone, reducing manual effort and improving response times.

Use Cases

• Alert Triage and Response: Coordinated AI agents triage, investigate, and respond across endpoint, identity, network, and cloud signals.
• Incident Investigation and Case Management: Agents gather evidence, test hypotheses, and build cases alongside human teams, ensuring context carries across every step.
• Vulnerability Management: AI agents evaluate and prioritize vulnerabilities based on real-time environmental context, moving beyond static scores.
• Threat Intelligence Operation: Agents ingest and structure intelligence from external sources, evaluating it against internal intel and live-environment context for actionable insights.
• Threat Hunting: AI agents perform proactive threat hunting based on analyst-defined hypotheses or self-generated leads across various security domains.