About
Bricklayer AI is a purpose-built agentic cybersecurity platform designed to solve the core scaling problem facing modern SOC teams: alert overload and insufficient human capacity to keep pace with a growing threat landscape. Unlike brittle SOAR platforms or isolated single-purpose AI tools, Bricklayer deploys coordinated teams of AI agents that share environmental context, collaborate in a unified workspace, and hand off findings to human analysts for review and action. Each agent operates with full awareness of your environment — tool data, historical memory, and organizational context are embedded from the start. Analysts interact with agents through a shared collaborative workspace where they can guide procedures, inspect reasoning chains, and validate evidence before taking action. Every agent action is governed by enforced policies, role-based access control (RBAC), and comprehensive audit trails, ensuring compliance and full visibility. Bricklayer covers a wide range of SOC workflows out of the box: cloud alert triage, endpoint alert triage, network alert triage, phishing investigation, IOC research and reporting, threat actor profiling, vulnerability analysis, and automated daily cyber situational reports compiled from threat intel feeds, government advisories, and breach reports. The platform is particularly well-suited for enterprise security teams and MSSPs looking to dramatically reduce Mean Time to Respond (MTTR), scale analyst capacity without proportional headcount increases, and maintain rigorous governance over every automated decision. Customer results include saving thousands of analyst hours and measurable improvements in MTTR.
Key Features
- Coordinated AI Agent Teams: Agents work together across your entire SOC, sharing context and collaborating on complex multi-step workflows rather than operating in isolation.
- Human-in-the-Loop Governance: Every agent action is governed by enforced policies, RBAC, and full audit trails — giving analysts visibility into plans, evidence, and reasoning at every step.
- Environment-Aware Context: Each agent is initialized with awareness of your specific environment, including tool data, historical memory, and organizational context for more accurate responses.
- Broad SOC Use Case Coverage: Supports cloud, endpoint, network, and phishing alert triage, plus IOC investigation, threat actor research, vulnerability analysis, and daily situational reporting.
- Collaborative Analyst Workspace: A shared workspace brings AI agents and human analysts together so analysts can guide procedures, question findings, and act on summarized intelligence.
Use Cases
- Automating cloud, endpoint, and network security alert triage at scale to ensure every alert receives appropriate attention without overwhelming analyst capacity.
- Generating automated daily cyber situational awareness reports by aggregating and summarizing threat intel feeds, government advisories, and breach disclosures.
- Conducting IOC (Indicator of Compromise) investigations and producing structured reports with enriched threat intelligence for analyst review.
- Researching and profiling threat actors to support proactive defense and inform incident response strategies.
- Performing vulnerability analysis and producing actionable reports that help security teams prioritize remediation efforts across the environment.
Pros
- Dramatic Analyst Hour Savings: Customers report saving thousands of analyst hours while measurably improving MTTR, allowing teams to handle far more alerts without adding headcount.
- Enterprise-Grade Governance: RBAC, enforced policies, and complete audit trails ensure every automated action is reviewable, policy-compliant, and defensible.
- Wide SOC Workflow Coverage: A single platform addresses multiple critical use cases — from alert triage across cloud, endpoint, and network to daily situational intelligence reporting.
- Context-Sharing Between Agents: Unlike point solutions, Bricklayer agents share context across workflows, preventing critical threat information from falling through the cracks.
Cons
- Enterprise-Only Pricing: Bricklayer operates on a demo/sales model with no self-serve or free tier, making it inaccessible for smaller security teams with limited budgets.
- Integration Setup Required: Realizing full value requires integrating Bricklayer with your existing security toolstack, which may involve significant initial configuration effort.
- Specialized Use Case: The platform is purpose-built for cybersecurity SOC operations, making it unsuitable for general-purpose AI automation or non-security workflows.
Frequently Asked Questions
How is Bricklayer AI different from a SOAR platform?
Traditional SOAR platforms rely on rigid, manually maintained playbooks that break down when conditions change. Bricklayer's AI agents are context-aware and autonomous — they can adapt their reasoning, share findings with each other, and collaborate with analysts in real time, rather than following brittle predefined rules.
What SOC workflows does Bricklayer support?
Bricklayer supports cloud alert triage, endpoint alert triage, network alert triage, phishing alert triage, IOC investigation and reporting, threat actor research and reporting, vulnerability analysis and reporting, and automated daily cyber situational updates.
How does human oversight work in Bricklayer?
Analysts interact with agents through a shared collaborative workspace. They can review agent plans, inspect evidence and reasoning, guide procedures, and ask questions before any action is taken. All agent activity is subject to enforced policies, RBAC, and full audit trails.
Is Bricklayer AI suitable for MSSPs?
Yes. Bricklayer is designed with MSSP use cases in mind, offering the scalability, governance, and multi-environment context-awareness needed to manage security operations across multiple clients.
What results have customers seen with Bricklayer?
Customers report saving thousands of analyst hours and achieving meaningful reductions in Mean Time to Respond (MTTR). One CTO noted being 'more impactful in terms of MTTR,' while a CISO highlighted the ability to enforce guardrails and maintain full visibility into agent actions.
