# Bricklayer AI > Governed AI Workforce for the SOC https://www.bricklayer.ai/ ## Key Pages - [Vulnerability Management](https://www.bricklayer.ai/use-cases/vulnerability-management/): Prioritize vulnerabilities based on what's actually exploitable. Bricklayer AI agents analyze, correlate, and report on vulnerabilities so your team... Vulnerabilities Don't Exist In Isolation. Your Prioritization Shouldn't Either. Most teams prioritize by score. Bricklayer prioritizes by risk; evaluated against real asset exposure, identity access, and active threats in your environment. Reduce time spent on low-impact vulnerabilities. 100% auditable by design. USE CASE  VULNERABILITY MANAGEMENT High Scores Don't Always Mean High Risk. Vulnerability management is full of data, but short on clarity. It runs in isolation from the rest of... - [See Bricklayer Agents Work](https://www.bricklayer.ai/put-agents-to-work/) - [Black Hat USA 2026 — It’s Dangerous to Go Alone](https://www.bricklayer.ai/blackhat-2026/): It's Dangerousto Go Alone! Take This. Black Hat USA 2026 It's Dangerousto Go Alone! Take This. Black Hat USA 2026 - [Legal](https://www.bricklayer.ai/legal/): Legal Documents Access and download the legal documents below. These materials are provided for informational and contractual purposes. Terms &... Legal Documents Access and download the legal documents below. These materials are provided for informational and contractual purposes. Terms & Conditions Service Level Agreement - [For MSSPs](https://www.bricklayer.ai/for-mssps/): Build a lean, cost effective SOC with Bricklayer's agentic cybersecurity platform. Deliver managed security at scale with AI agents. Grow Your Customer Base - Not Your Headcount. Add coordinated AI agents to your managed SOC. Respond quicker. Deliver consistent outcomes across every customer all under your control. MSSPs Scale and Reduce Costs with Bricklayer AI For MSSPs Proven in MSSP Environments More Customers, Higher Costs? New customers mean more alerts. New environments mean greater complexity. Yet every new contract taps the same analyst pool. Rules-based automation breaks under variability. Point AI tools are... - [Customer Agreements](https://www.bricklayer.ai/customer-agreements/): Customer Agreements This section contains customer-specific legal agreements referenced in Bricklayer order documents. Bricklayer Terms and... Customer Agreements This section contains customer-specific legal agreements referenced in Bricklayer order documents. Bricklayer Terms and Conditions Bricklayer Service Level Agreement - [Thank You for Subscribing](https://www.bricklayer.ai/thank-you-for-subscribing/): You're In! Thanks for subscribing. You'll receive our latest insights on AI-first cybersecurity and security operations straight to your inbox. You're In! Thanks for subscribing. You'll receive our latest insights on AI-first cybersecurity and security operations straight to your inbox. - [Thank You](https://www.bricklayer.ai/thank-you/): Thank You! We've received your submission and will be in touch shortly. In the meantime, explore what Bricklayer can do for your SOC. Thank You! We've received your submission and will be in touch shortly. In the meantime, explore what Bricklayer can do for your SOC. - [Agentic SOC Dinner Series](https://www.bricklayer.ai/agentic-soc-dinner-series/): Private CISO dinners on the East Coast. A small-group conversation about what an agentic SOC actually looks like. Agentic SOCDinner Series Four cities. One conversation that matters. Off the Record. Peer Led. A private, off-the-record dinner with a small group of CISOs. Each conversation is led by a CISO peer and grounded in real-world experience. No presentations. No vendor pitch. No recordings. - [Tutorials](https://www.bricklayer.ai/tutorials/): Tutorials Getting started guides and tutorials Resources Tutorials Getting started guides and tutorials Resources - [Press](https://www.bricklayer.ai/press/): Press News and announcements from Bricklayer AI Resources Press News and announcements from Bricklayer AI Resources - [Insights](https://www.bricklayer.ai/insights/): Insights Expert insights on building an AI-first cybersecurity team Resources Insights Expert insights on building an AI-first cybersecurity team Resources - [Careers](https://www.bricklayer.ai/company/careers/): Careers Security operations is changing. Attackers are moving faster, while most security teams are still operating through disconnected tools and... Careers Security operations is changing. Attackers are moving faster, while most security teams are still operating through disconnected tools and human-driven workflows. We're building a governed, coordinated AI workforce that helps security teams keep up. We're looking for builders who want to solve hard problems, move quickly, and help redefine how security work gets done. Open Positions Benefits - [Threat Hunting](https://www.bricklayer.ai/use-cases/threat-hunting/): Run continuous threat hunting missions without slowing your team down. Bricklayer AI agents proactively search for threats, validate hypotheses, and... The Threats That Matter Most Don't Always Trigger Alerts. Test 510x more hypotheses per analyst. Every hunt is documented and repeatable. USE CASE  THREAT HUNTING Why Most Teams Can't Hunt Consistently Most teams know they should be hunting. Few can do it consistently. It takes time and expertise, and it rarely scales. Hypotheses go untested, coverage is inconsistent,results are hard to document or repeat. What Coordinated AI Agents Actually Look Like. With Bricklayer, threat hunting is... - [Threat Intelligence Operations](https://www.bricklayer.ai/use-cases/threat-intelligence-operations/): Transform external threat signals into internal decisions. Bricklayer AI agents research threat actors, extract IOCs, and deliver actionable... Threat Intelligence Only Matters If It's About You. Generic feeds tell you what's happening in the world. Bricklayer tells you what it means for yours. 85%+ faster threat intelligence investigations. 100% auditable by design. USE CASE  THREAT INTELLIGENCE OPERATIONS Why Generic Intelligence Isn't Intelligence. Feeds are chaotic with alerts coming in from everywhere. Signals are disconnected. Context lives in different systems. Analysts spend hours figuring out what matters to their... - [Resources](https://www.bricklayer.ai/resources/): Explore insights, research, press, eBooks, and resources from Bricklayer AI on the new operating model for security operations. Resources Insights, press, tutorials, and more from the Bricklayer AI team Resources - [Incident Investigation](https://www.bricklayer.ai/use-cases/incident-investigation/): Accelerate security incident investigations with AI agents that gather evidence, correlate findings, and build timelines so your team can respond... Every Investigation Should Build On The Last Thing You Learned. Not Start Over. Coordinated AI agents carry context across every step to make decisions with the full picture, not a fragment of it. Shorten investigation time. Improve decision confidence. 100% auditable by design. USE CASE  INCIDENT INVESTIGATION AND CASE MANAGEMENT Where Investigations Break Down Investigations are where SOCs slow down. Analysts pivot across tools. Context gets lost between steps. Work is duplicated. Decisions... - [Alert Triage & Response](https://www.bricklayer.ai/use-cases/alert-triage/): Automate SOC alert triage with coordinated AI agents. Bricklayer investigates, correlates, and prioritizes alerts across cloud, endpoint, identity,... Stop Drowning In Alerts. Start Closing Them. Coordinated AI agents triage, investigate, and respond across endpoint, identity, network, and cloud opening your analysts up to solve cases that matter, not the queue. 60% faster investigations. 3x10x analyst throughput. USE CASE  ALERT TRIAGE AND RESPONSE More Alerts.More Isolated Tools.Same Human Capacity. Thats why your analysts are still drowning. Endpoint, identity, network, and cloud signals all generate noise. Analysts chase context across... - [Use Cases](https://www.bricklayer.ai/use-cases/): Connects the entire security operations lifecycle - from alert triage to threat hunting. See how Bricklayer AI agents handle real SOC workflows. One Governed Workforce. Every Capability Connected. FROM CONVERSATION TO COMMAND Security operations should be a connected system. It rarely is. Todays security teams arent solving isolated problems. Alerts, investigations, risk, intelligence, and hunting all feed into each other but theyre still split across disconnected tools and workflows. Context gets lost. Decisions happen in silos. Work doesnt connect. Core Use Cases Bricklayer connects the key workflows in modern security operations and... - [eBooks](https://www.bricklayer.ai/ebooks/): eBooks Download guides and resources on AI-first cybersecurity and security operations Resources Subscribe to Our Blog Get expert insights on... eBooks Download guides and resources on AI-first cybersecurity and security operations Resources Subscribe to Our Blog Get expert insights on building an AI-First Cybersecurity Team delivered right to you. ## Recent Content - [AI Agent Coordination and Management: A New Patent Milestone for Bricklayer](https://www.bricklayer.ai/insights/ai-agent-coordination-and-management-a-new-patent-milestone-for-bricklayer/): Bricklayer AI announces numerous new upgrades and enhanced features in response to customer feedback, product roadmap development. Learn more. Building the coordinated AI workforce The first generation of enterprise AI has largely focused on the capabilities of individual models and agents. Can an agent investigate an alert? Analyze a vulnerability? Gather threat intelligence? Write a detection? Prepare a report? These are useful questions, and specialized agents can create meaningful value. But they do not address the larger operational challenge. Real work rarely fits within the boundaries of one agent. A security investigation may... - [Autonomous Red Teaming Is the Warm-Up. The Real Test Is the Operating Model](https://www.bricklayer.ai/insights/autonomous-red-teaming-is-the-warm-up-the-real-test-is-the-operating-model/): Three wake-up calls in four months. The industry is testing the attacker. The real test Is the defender's operating model. Three wake-up calls in four months. The industry is testing the attacker. It also needs to rethink the defender. Faced with autonomous attackers, the cybersecurity industry has largely converged on the same response: more testing. In April 2026, Anthropic disclosed that Mythos, restricted from public release, had autonomously discovered and exploited thousands of zero-day vulnerabilities across major operating systems and browsers, including a seventeen-year-old FreeBSD flaw that gave an... - [Governing AI Agents: Announcing Our Second Patent in Agentic Policy Enforcement](https://www.bricklayer.ai/insights/governing-ai-agents-announcing-our-second-patent-in-agentic-policy-enforcement/): Bricklayer AI announces numerous new upgrades and enhanced features in response to customer feedback, product roadmap development. Learn more. Trust Before Autonomy Earlier this year, we announced our first patent covering Systems and Methods of Agentic Policy Enforcement. At the time, much of the conversation around enterprise AI centered on model capability. Could large language models reason well enough? Would they hallucinate? Could AI agents become productive members of an enterprise team? Over the past several months, Ive noticed those conversations changing. Today, I rarely hear customers questioning whether AI agents are... - [Introducing Conversational Platform Management: When Analysts Define the Objective, Not the Workflow](https://www.bricklayer.ai/insights/introducing-conversational-platform-management/): Conversation becomes the primary operating interface for the Bricklayer platform. Analysts can simply define the objective. How Stating an Objective Becomes the Primary Way to Operate the Bricklayer Platform Every new capability added to enterprise software has traditionally meant another menu, another configuration screen, another playbook, or another integration to manage. As platforms became more powerful, they also became more complicated. Users spent as much time learning how to operate the software as they did accomplishing the work itself. That model made sense when software's role was to help people perform... - [Introducing Typed Content Architecture: A Single Source of Truth for Multi-Agent Security Operations](https://www.bricklayer.ai/insights/introducing-typed-content-architecture-for-multi-agent-context-engineering/): How Bricklayer gives multi-agent security teams a shared, governed way to work with alerts, tables, and reports. How Bricklayer Gives Multi-Agent Security Teams a Shared, Governed Way to Work With Alerts, Tables, and Reports Ask any analyst what a real investigation looks like and you will hear about scale. A threat intelligence lookup that returns pages of data on a single indicator. A CSV export with thousands of rows. An alert payload so large a human couldn't skim it, let alone triage it. Ask any AI system what it does with that same content, and the answer is almost always the same. It turns it into... - [The Hugging Face Incident, One Week Later](https://www.bricklayer.ai/insights/the-hugging-face-incident-one-week-later/): A week later, one of the most important Hugging Face lessons is about what happened when the defenders reached for AI to fight back. What Happened When the Defenders Needed AI Too When we first wrote about the Hugging Face incident, most of the story was still unfolding. The biggest revelation was that this wasn't another breach. It was a fully autonomous attack chain, executing thousands of actions without human direction. A week later, one of the most important lessons isn't about how the attack happened. It's about what happened when the defenders reached for AI to fight back. What We Know Now OpenAI has confirmed the... - [Bricklayer AI Partners with ACTRA to Power Intelligence-Driven Security Operations with Agentic AI](https://www.bricklayer.ai/press/bricklayer-ai-partners-with-actra-to-power-intelligence-driven-security-operations-with-agentic-ai/): Introduces Multi-Agent Context Engineering (MACE), collaborative investigative workspaces, and enterprise governance for the modern SOC ARLINGTON, VA... Partnership with the Arizona Cyber Threat Response Alliance brings Bricklayer's agentic cybersecurity workforce to critical infrastructure sectors nationwide ARLINGTON, VA July 28, 2026 Bricklayer AI today announced a partnership with the Arizona Cyber Threat Response Alliance (ACTRA), a nonprofit organization that serves as a hub for collaborative threat intelligence sharing among industry, government, academia, and law enforcement. Through the partnership, Bricklayer is providing ACTRA with... - [The Hugging Face Incident Isn’t Just Another Breach](https://www.bricklayer.ai/insights/the-hugging-face-incident-isnt-just-another-breach/): Whether Hugging Face breach was the first fully agentic attack or simply the first publicly documented example isn't what matters. It Signals a Fundamental Shift in How Cybersecurity Will Work The recent Hugging Face security incident has sparked a wave of discussion. Much of it has focused on the vulnerability itself, the response, or whether this truly represents the first autonomous AI attack. The campaign reportedly executed "many thousands of individual actions across a swarm of short-lived sandboxes, with self-migrating command-and-control staged on public services." Those are important discussions. But they miss the... - [Bricklayer AI Appoints Dean Teffer as Strategic AI Advisor](https://www.bricklayer.ai/press/bricklayer-ai-appoints-dean-teffer-as-strategic-ai-advisor/): Bricklayer AI today announced that Dean Teffer has joined the company as Strategic AI Advisor. Dean will work with Bricklayer's team on AI strategy,... Leading cybersecurity AI practitioner joins Bricklayer to help shape the future of the Agentic SOC ARLINGTON, VA July 15, 2026 Bricklayer AI today announced that Dean Teffer has joined the company as Strategic AI Advisor. Dean will work with Bricklayer's team on AI strategy, product vision, and platform architecture as the company builds its agentic cybersecurity platform. His experience building production-scale AI systems will help accelerate Bricklayers mission of scaling security expertise... - [What Is an AI Harness and Why Every Enterprise Will Need One](https://www.bricklayer.ai/insights/what-is-an-ai-harness-and-why-every-enterprise-will-need-one/): An AI Harness is the operational system that surrounds AI models and agents and enables them to operate safely, reliably, and effectively. The AI Industry Has Become Obsessed With Models Over the last several years, the AI industry has become increasingly focused on models. Every major announcement, benchmark, funding round, and product launch seems to revolve around which model is smartest, fastest, cheapest, or most capable. Organizations evaluating AI initiatives often begin by comparing GPT, Claude, Gemini, Llama, and a growing list of open-source alternatives. This focus is understandable. The advances in model capabilities... - [What Anthropic’s Red Team Revealed About the Future of Security Operations](https://www.bricklayer.ai/insights/what-anthropics-red-team-revealed-about-the-future-of-security-operations/): Anthropic's red team published an analysis while developing LLM ATT&CK Navigator. The most important finding isn't the model that's used. The Next Cybersecurity Challenge Isnt the Model. Its the Operation Around It. For years, security teams have assessed threat actors using a relatively stable set of signals. How technically sophisticated are they? How many ATT&CK techniques do they employ? How broadly do they operate across the kill chain? The assumption has been straightforward: more techniques signal greater capability, and greater capability signals greater risk. Anthropic's red team just published a year-long analysis while... - [The Window Is Closing: 2026 Verizon DBIR Signals the End of Sequential Coordination](https://www.bricklayer.ai/insights/the-window-is-closing-2026-verizon-dbir-signals-the-end-of-sequential-coordination/): DBIR points to generative AI use to accelerate exploitation from months to hours. Defenders can no longer operate in sequential coordination. Every year, the Verizon DBIR gives the industry a useful snapshot of where attackers are succeeding and where defenders are struggling. The 2026 report feels different. Not because the findings are surprising. Most CISOs and SOC leaders have already felt these pressures building over the last 18 months. What stands out is how clearly the report confirms that the operating assumptions many security programs were built around are starting to break down. According to the 2026 Verizon DBIR,... - [Introducing Bricklayer Model Provider Management: When the Model Changes, the Operation Shouldn’t](https://www.bricklayer.ai/insights/introducing-bricklayer-model-provider-management/): Bricklayer Model Provider Management allows organizations to adopt new models that best fit their needs without disrupting their operations. The AI industry is moving at a pace no enterprise security program can reasonably match. New models are released every month. Benchmarks shift. Providers evolve. Todays leading model will eventually be replaced by something better. The challenge isnt that models change. The challenge is ensuring your security operations dont have to be rebuilt every time they do. Bricklayer's Model Provider Management separates the operational layer from the model layer, allowing organizations to adopt the... - [Introducing the Shared Agentic Library: Turning Operational Expertise Into a System Asset](https://www.bricklayer.ai/insights/introducing-the-shared-agentic-library/): Shared Agentic Library allows organizations to package, share, and manage operational capabilities across their environments. Closing the Gap Between Security Strategy and Operational Reality There is a pattern beginning to emerge across security operations teams as AI enters the SOC, regardless of size or maturity. An AI agent is configured to triage cloud alerts in the right way for one business unit. A multi-agent procedure is assembled that reliably handles phishing investigations end to end for one division. An enrichment pipeline is tuned and proven across hundreds of real detections in one region. These things... - [Bricklayer AI Wins 2026 Fortress Cybersecurity Award in Agentic AI Security Platform](https://www.bricklayer.ai/press/bricklayer-ai-wins-2026-fortress-cybersecurity-award-agentic-security/): Funding includes participation from prior investors, joining Engage, and fueling the companys mission to automate and scale cybersecurity operations... Recognition honors organizations, products, and leaders delivering measurable results in digital defense ARLINGTON, VA, June 3, 2026 Bricklayer AI today announced it has been named a winner in the 2026 Fortress Cybersecurity Awards, in the category of Agentic AI Security Platform Software & Applications. Presented by the Business Intelligence Group, the award recognizes the organizations, products, and people applying cybersecurity in ways that deliver real, measurable protection. The 2026... - [Governance Is the Real Barrier to Enterprise AI](https://www.bricklayer.ai/insights/governance-is-the-real-barrier-to-enterprise-ai/): The industry has been consumed by a race to build AI agents. Far less attention has been given to how those systems should be governed. Earlier this month at Knowledge 2026, Bill McDermott made a statement that immediately caught my attention: Governance is the real barrier to enterprise AI adoption. I think hes right. Over the last two years, the technology industry has been consumed by a race to build AI agents. New models, copilots, orchestration frameworks, and autonomous workflows are emerging almost daily. The conversation has largely centered on what autonomous systems can do. But far less attention has been given to the... - [Why I Joined Bricklayer AI](https://www.bricklayer.ai/insights/why-i-joined-bricklayer-ai/): The threat of AI-assisted attacks has crossed a threshold where the entire operating model for cybersecurity defense has to evolve. For over a decade, I worked in application security. Helping companies defend against DDoS, application-layer vulnerabilities, and automated attacks: credential stuffing, web scraping, enumeration, fake account creation. That world shaped how I think about attackers, not as distant, abstract threats but as adversarial teams with their own profit motivations and iteration cycles, their own tooling, and their own version of a deployment pipeline. What I observed over the last few years in that... - [The Security Operations Center Is Becoming Something Else Entirely](https://www.bricklayer.ai/insights/the-soc-is-bcoming-something-else-entirely/): The perimeter didn't disappear. It just stopped mattering. What replaces it, and what it means for the SOC is the real question. The perimeter didn't disappear. It just stopped mattering. What replaces it, and what that means for the people running SOCs today, is the real question. If you've run a SOC for more than a few years, you've watched the job quietly transform around you. The tools multiplied. The alert volumes climbed. The dwell time statistics kept drifting in the wrong direction. And somewhere along the way, the team shifted from investigating threats to managing the machinery of investigation itself. That... - [From AI SOC to Governed Agentic SOC: Why Adding AI to the SOC Isn’t Enough and What Comes Next](https://www.bricklayer.ai/insights/from-ai-soc-to-governed-agentic-soc/): The term AI SOC has become too broad to be useful. A more useful way to understand the space is as a progression across 4 levels of maturity. The problem with AI SOC Over the past few years, nearly every cybersecurity vendor has claimed to deliver an AI SOC. At first glance, that sounds like meaningful progress. Artificial intelligence promises to address alert fatigue, analyst burnout, and the growing scale and complexity of threats. The vision is compelling: machines augmenting human teams, accelerating investigations, and reducing time to response. But most AI SOC implementations are not a transformation. They are an augmentation... - [Mythos, GPT-5.5, and Cybersecurity’s Asymmetry Problem](https://www.bricklayer.ai/insights/mythos-and-cybersecurity-asymmetry-problem/): The next phase of cybersecurity will not be defined by what AI can do, but by who can use it faster. Mythos and GPT-5.5 are reshaping this. The next phase of cybersecurity will not be defined by what artificial intelligence can do, but by who can use it faster. Over the past year, two developments have begun to reshape that equation. Systems like Mythos have demonstrated an ability, in controlled settings, to identify real software vulnerabilities in widely used systems. At the same time, frontier models such as GPT-5.5 have become more capable not just of answering questions, but of carrying out multi-step work, breaking down...