# Geordie > Geordie is a purpose-built security and governance platform for enterprise AI agents. It discovers the agents running in an organization, maps what each one is connected to, observes what they actually do in production, quantifies the resulting security, compliance and cost risk, and remediates it at runtime through Beam. Geordie AI Ltd is a company registered in England and Wales, founded in 2025 and headquartered in London. This file is generated from the site's own content at build time; every URL below is canonical and serves with a trailing slash. ## Key pages - [Geordie platform overview](https://www.geordie.ai/product/): The whole platform in one page: agent discovery and posture, behavioral understanding, risk intelligence, Cost Intelligence, and remediation with Beam. - [Agent discovery and posture management](https://www.geordie.ai/product/agent-discovery/): Finding agents nobody registered, and mapping what each one is wired to — permissions, MCP connections, skills, plugins, system prompts and models. Shadow AI discovery. - [Behavioral understanding and risk intelligence](https://www.geordie.ai/product/behavioral-understanding/): What agents actually do in production, and the risk that behavior creates — baselines, drift, and findings mapped to security and AI standards. - [Beam: remediation](https://www.geordie.ai/product/remediation/): Runtime guardrails and deterministic controls applied inside the agent's reasoning process through hooks and skills, rather than at an external gateway. - [Cost Intelligence](https://www.geordie.ai/product/cost-intelligence/): Connecting agent spend back to the agents, activities and workflows that generated it. - [Our approach](https://www.geordie.ai/how-it-works/): Why agents need security built for how they operate, and where existing endpoint and identity controls stop. - [About Geordie](https://www.geordie.ai/about/): The company, the team and the investors behind it. - [Knowledge Center](https://www.geordie.ai/knowledge-center/): Definitional reference for the terms in this category — one entry per term, each opening with a direct answer. - [Resource center](https://www.geordie.ai/resources/): The full library: research, guides, technical advisories and company news. - [Case studies](https://www.geordie.ai/case-studies/): Named customer deployments, with the numbers each one produced. - [Book a demo](https://www.geordie.ai/book-a-demo/): How to get in touch about a deployment. ## Knowledge Center One entry per term, each opening with a direct answer to the question the term poses. - [Agent Capabilities and the Tool Supply Chain](https://www.geordie.ai/knowledge-center/agent-capabilities-tool-supply-chain/): Everything an AI agent can do beyond generating text: the tools it can call, systems it can reach, and data it can retrieve. Capabilities arrive through MCP servers, skills, plugins, extensions, packages, SaaS connectors, and sub-agents. - [Agent Cost Governance and Cost Attribution](https://www.geordie.ai/knowledge-center/agent-cost-governance/): Agent cost governance is the practice of predicting, attributing, and controlling what autonomous agents spend — tokens, tool calls, and the downstream API and compute costs they trigger. Cost attribution is the specific, harder problem underneath it: tracing a given dollar of spend back to the agent, the action, and the owner responsible for it, rather than watching a single aggregate number rise with no way to explain why. - [Agent Harnesses](https://www.geordie.ai/knowledge-center/agent-harnesses/): An agent harness is the framework, SDK, or platform that gives an agent its structure — the layer that turns a language model into a system with memory, tools, and an execution path. The model reasons. Everything a security team can actually see, configure, or intervene on lives in the harness. - [Agent Lifecycle Hooks](https://www.geordie.ai/knowledge-center/agent-lifecycle-hooks/): A lifecycle hook is a point in an agent's execution — before it submits a prompt, before it calls a tool, before it compacts its memory — where code can observe what's about to happen and choose to allow it, block it, or change it before it happens. Hooks are how a harness turns an agent's decision into a moment a human or a policy can actually intervene on, rather than something that's only visible in a log afterward. - [AI Agent Audit Trails and Immutable Logging](https://www.geordie.ai/knowledge-center/ai-agent-audit-trail/): A durable record of what an AI agent did: which actions it took, under whose credentials, with what context, and in what order, kept in a form that survives the agent, the session, and any party with an interest in altering it. - [AI Agent Posture Management](https://www.geordie.ai/knowledge-center/ai-agent-posture-management/): AI agent posture management is the continuous practice of connecting three things for every agent: what it's configured to do, what it can actually reach given its current credentials and tool access, and what it's actually doing in practice. Posture is the relationship between all three — and it's the layer that risk scoring, remediation, and audit all depend on. - [AI Agent Security vs EDR](https://www.geordie.ai/knowledge-center/ai-agent-security-vs-edr/): EDR protects the device an agent runs on and catches malicious processes, files, and network destinations. It does not see the agent's own configuration, which tools and data it connects to, what it decided to do and why, or any agent running in a cloud environment where no endpoint sensor exists. For most enterprises the uncovered portion is the material one. - [AIDR (AI Detection and Response)](https://www.geordie.ai/knowledge-center/aidr-ai-detection-and-response/): The application of detection-and-response discipline to AI systems and agents at runtime: detecting unsafe or unintended activity while it is happening, and responding to it. - [MCP Gateways: What They Cover and What They Miss](https://www.geordie.ai/knowledge-center/mcp-gateways/): A proxy positioned between AI agents and the MCP servers they call, which inspects that traffic and applies policy to it, typically providing a server registry, credential brokering, allow and deny listing, and request logging. - [MCP vs Skills](https://www.geordie.ai/knowledge-center/mcp-vs-skills/): An MCP server is a live process that gives an agent access to external tools and data over a protocol. A skill is a static folder of instructions the agent reads on demand — no server, no connection, no external access of its own. They solve different problems and typically compose rather than compete. - [Shadow AI and Agent Sprawl](https://www.geordie.ai/knowledge-center/shadow-ai-agent-sprawl/): Any AI tool, assistant, or agent operating inside an organization without having gone through security review. Agent sprawl is the related but distinct problem of sanctioned AI agents multiplying beyond the point where an organization maintains a current, accurate inventory of them. ## Case studies - [How a Leading Global Private Equity Firm Went From Blocking AI Agents to a Secure Enterprise Program in Days, Not Months](https://www.geordie.ai/case-studies/how-a-leading-global-private-equity-firm-went-from-zero-approvals-to-a-secure-ai-agent-program-in-weeks-not-months/): A global private equity firm with $150B under management went from no approved AI agents to a governed program, with the audit trail to back the decision. - [How Forge Holiday Group Turned AI Ambition Into Governed AI Adoption at Scale](https://www.geordie.ai/case-studies/how-forge-holiday-group-turned-ai-ambition-into-governed-ai-adoption-at-scale/): Forge Holiday Group reached 90% deployment across the group, with endpoint and API coverage and AI risk quantified as inherent versus residual. - [How Owkin Averted $13M in Risk Exposure With Geordie AI](https://www.geordie.ai/case-studies/how-owkin-discovered-327-more-ai-agents-than-expected-with-geordie-ai/): Owkin uncovered 327% more AI agents than expected, identified $13M in risk exposure and proved EU AI Act compliance in minutes, in a single Geordie POC. ## Advisory - [Technical Advisory: n8n - Multiple Vulnerabilities - March 2026](https://www.geordie.ai/resources/technical-advisory-n8n---multiple-vulnerabilities---march-2026/): Seven Critical and High n8n vulnerabilities, including CVE-2026-33660 and CVE-2026-33696 (RCE, CVSS 9.4). Patch to n8n 1.123.27 or 2.13.3. - [Technical Advisory: TeamPCP Supply Chain Campaign](https://www.geordie.ai/resources/technical-advisory-teampcp-supply-chain-campaign/): TeamPCP turned Trivy into a credential harvester and expanded to LiteLLM and npm in five days. IOCs, safe versions, and guidance for CI/CD and agentic AI teams. - [Technical Advisory: Remote Shell Backdoor in MCP Package (@lanyer640/mcp-runcommand-server)](https://www.geordie.ai/resources/security-advisory-remote-shell-backdoor-in-mcp-package-lanyer640-mcp-runcommand-server/): A high-severity malicious NPM package targeting MCP implementations establishes unauthorized remote shells through installation and runtime execution. - [Technical Advisory: Claude Desktop Extensions Tool Chaining Vulnerability](https://www.geordie.ai/resources/technical-advisory-claude-desktop-extensions-tool-chaining-vulnerability/): Analysis of the DXT tool chaining vulnerability. Context on severity, risk assessment, and mitigations. - [Technical Advisory: Figma MCP Server Remote Code Execution Vulnerability](https://www.geordie.ai/resources/technical-advisory-figma-mcp-server-remote-code-execution-vulnerability/): Critical RCE in Figma MCP server versions 0.6.2 and earlier allows arbitrary code execution through crafted Figma file URLs. Patch to 0.6.3 or later. - [Technical Advisory: LangChain Serialization Injection Enables Secret Extraction](https://www.geordie.ai/resources/technical-advisory-langchain-serialization-injection-enables-secret-extraction/): Critical vulnerability in LangChain serialization functions allows attackers to extract secrets and instantiate arbitrary classes through injection attacks. - [Technical Advisory: Multiple Vulnerabilities in Cursor AI Code Editor](https://www.geordie.ai/resources/technical-advisory-multiple-vulnerabilities-in-cursor-ai-code-editor/): Five CVEs identified in Cursor AI code editor pose security risks to development environments. Organizations should assess exposure and prepare for patches. - [Technical Advisory: n8n Unauthenticated Remote Code Execution (Ni8mare)](https://www.geordie.ai/resources/technical-advisory-n8n---unauthenticated-remote-code-execution-ni8mare/): Critical content-type confusion flaw in n8n enables unauthenticated remote code execution - CVE-2026-21858‍. Upgrade to version 1.121.0 immediately. - [Technical Advisory: n8n Python Sandbox Escape Enables Arbitrary Command Execution](https://www.geordie.ai/resources/technical-advisory-n8n-python-sandbox-escape-enables-arbitrary-command-execution/): A critical flaw in n8n's Pyodide-based Python Code Node lets authenticated attackers escape the sandbox and execute arbitrary system commands. - [Technical Advisory: n8n Remote Code Execution via Arbitrary File Write](https://www.geordie.ai/resources/technical-advisory-n8n-remote-code-execution-via-arbitrary-file-write/): Critical RCE in n8n lets authenticated attackers execute arbitrary code through file upload, affecting versions up to 1.121.2. - [Technical Advisory: n8n Remote Code Execution via Expression Injection](https://www.geordie.ai/resources/technical-advisory-n8n-remote-code-execution-via-expression-injection/): Critical RCE in n8n lets authenticated attackers execute arbitrary code via expression injection. CVE-2025-68613. - [Technical Advisory: Serverless Framework MCP Server Command Injection](https://www.geordie.ai/resources/technical-advisory-serverless-framework-mcp-server-command-injection/): Critical command injection vulnerability in Serverless Framework MCP server allows RCE. Upgrade to v4.29.3 immediately. - [How to Actually Patch CVE-2025-68145, CVE-2025-68144, and CVE-2025-68143 in mcp-server-git](https://www.geordie.ai/resources/how-to-actually-patch-cve-2025-68145-cve-2025-68144-and-cve-2025-68143-in-mcp-server-git/): Deployment-specific remediation for the critical mcp-server-git CVEs across uvx, uv tool install, pip and Docker, with cache pitfalls and verification. - [Technical Advisory: Multiple High-Severity Vulnerabilities in n8n](https://www.geordie.ai/resources/technical-advisory-eight-new-n8n-cves-since-january---updated-remediation-guidance/): Eight New n8n CVEs in February 2026: Updated Patching Guidance | Security Advisory - [Understanding Recent n8n Vulnerabilities: Exposure, Risk, and Remediation](https://www.geordie.ai/resources/understanding-recent-n8n-vulnerabilities-exposure-risk-and-remediation/): An analysis of recent critical n8n vulnerabilities, how exposure varies by deployment, and clear guidance on remediation and upgrade paths. ## Deep Research - [A Guide to Agent Skills](https://www.geordie.ai/resources/agent-skills-guide/): A working model for where agent skills actually create risk — and six practices for folding them into the governance you already run. - [A Guide to Agent Control](https://www.geordie.ai/resources/agent-control-field-guide/): A stage-by-stage map of the control mechanisms Anthropic, OpenAI, AWS Bedrock, and Microsoft expose across the agent lifecycle — and where each falls short. - [Skills, Plugins, and Shell Commands: The Agent Attack Surface MCP Doesn’t Cover](https://www.geordie.ai/resources/skills-plugins-and-shell-commands/): Three principles for governing the whole agentic toolset — knowledge sources, hard-coded tools, MCP servers, skills, plugins, extensions and APIs. - [Top 10 AI Agent Governance Best Practices](https://www.geordie.ai/resources/top-10-ai-agent-governance-best-practices/): Ten practical governance practices for AI agents, plus a maturity model to place your posture — covering behavioral baselines, guardrails and system prompts. - [The CISOs Guide to Agentic Security & Governance (Executive Edition)](https://www.geordie.ai/resources/cisos-guide-agentic-security-governance/): An executive guide for CISOs on agentic security and governance, covering AI agent risks, emerging threats, and how to prepare your organization. ## Blog - [The Hidden Cost (and Savings) of AI Agent Skills](https://www.geordie.ai/resources/hidden-cost-agent-skills-token-economics/): The same agent capability can cost ~10,000 tokens as an MCP server or ~100 as a skill. What that gap costs at scale - and why it's a governance signal. - [The Golden Catalog Is a Comforting Fiction](https://www.geordie.ai/resources/the-golden-catalog-is-a-comforting-fiction/): Why pre-approved template libraries can't keep pace with how fast agentic AI actually changes, and what enterprises need instead. - [Why (and how) we're helping customers connect agent spend to the agent work driving it](https://www.geordie.ai/resources/why-cost-intelligence/): Cost Intelligence connects agent spend back to the agents, activities and workflows that generated it, so you can tell whether that spend is doing useful work. - [Refusal Training Has a Blind Spot: Skills Run Before the Model Reasons](https://www.geordie.ai/resources/refusal-training-blind-spot/): A malicious skill called Clawsights ran a shell command before Claude Code's model ever reasoned about it. The mechanism, and what to check instead. - [Context as the Attack Surface: A New Class of Agent Compromise](https://www.geordie.ai/resources/context-as-the-attack-surface-a-new-class-of-agent-compromise/): AI agents can be compromised without a single malicious instruction, just by corrupting what the agent trusts. How the attack works and why defenses miss it. - [After AISI, Anthropic, and OpenAI: Where Agent Governance Needs to Go Next](https://www.geordie.ai/resources/after-aisi-anthropic-and-openai-where-agent-governance-needs-to-go-next/): The UK's AISI gave agents a standard cyber challenge and they took every path the environment allowed. Guardrails shape behavior; boundaries decide it. - [MCP 2.0: How the 2026-07-28 Release Changes Agent Governance in the Enterprise](https://www.geordie.ai/resources/mcp-2-0-how-the-2026-07-28-release-changes-agent-governance-in-the-enterprise/): MCP 2.0 removes sessions, hardens authorization and widens the footprint enterprises govern. What the 2026-07-28 release changes for security teams. - [Confidently Shipping Agents After OpenAI-Hugging Face](https://www.geordie.ai/resources/confidently-shipping-agents-after-openai-hugging-face/): What the OpenAI-Hugging Face incident teaches security and AI leaders: to a capable agent, a goal without a boundary reads as permission. - [Where to Find Geordie at Black Hat 2026](https://www.geordie.ai/resources/where-to-find-geordie-at-black-hat-2026/): Meet the Geordie team at Black Hat USA 2026 in Las Vegas, August 1-6. On the Main Stage for the Startup Spotlight and at Booth 5903 in Startup City. - [Six Practical Security and Governance Steps for Adopting Claude Cowork](https://www.geordie.ai/resources/six-practical-security-and-governance-steps-for-adopting-claude-cowork/): How to adopt Cowork quicker using built-in configurations alongside contextual visibility and controls. - [The harness: three ways to secure and govern the operational infrastructure of AI agents](https://www.geordie.ai/resources/the-harness-three-ways-to-secure-and-govern-ai-agents/): Harnesses are the operational infrastructure teams use to run AI agents. Three ways to make security and governance account for the harness. - [Securing AI Agents Means Following Behavior, Not Boundaries](https://www.geordie.ai/resources/securing-ai-agents-means-following-behavior-not-boundaries/): Geordie's practical view of AI agent security for version 2 of the OWASP GenAI Security Project, 'State of Agentic AI Security and Governance' - [Geordie Extends Microsoft Partnership to Support Agent Control Specification](https://www.geordie.ai/resources/geordie-extends-microsoft-partnership-to-support-agent-control-specification/): Beam now supports ACS-aligned policy formats, giving teams a portable path for governing agent behavior at runtime - [Geordie AI Raises $30M Series A as Enterprises Race to Govern Autonomous AI Agents](https://www.geordie.ai/resources/geordie-ai-raises-30m-series-a-as-enterprises-race-to-govern-autonomous-ai-agents/): Henry Comfort, CEO and co-founder of Geordie AI, on why the company raised a $30M Series A and what it means for enterprises deploying agents at scale. - [Prompt Injection Isn’t the Main Problem in AI Agent Security](https://www.geordie.ai/resources/prompt-injection-isnt-the-main-problem-in-ai-agent-security/): Prompt injection is treated as the primary AI agent risk. In practice, risk emerges from how agents behave across workflows, systems and context over time. - [Where to Find Geordie AI at RSAC 2026](https://www.geordie.ai/resources/where-to-find-geordie-ai-at-rsac-2026/): Find Geordie AI at the RSAC 2026 event in San Francisco, March 23-26 - [Claude Desktop Extensions RCE Vulnerability: A Technical Analysis of Configuration Risk and Agentic AI Governance](https://www.geordie.ai/resources/claude-desktop-extensions-rce-vulnerability-a-technical-analysis-of-configuration-risk-and-agentic-ai-governance/): Technical analysis of the Claude Desktop Extensions RCE reported by LayerX: why configuration matters more than a CVSS 10.0, and how to assess exposure. - [AI Agent Guardrails Explained: What They Cover and What They Don't](https://www.geordie.ai/resources/guardrails-explained/): Guardrails are not a universal solution for agentic AI. How they work, where their coverage ends, and how they differ from runtime remediation. - [Agentic AI Governance: Why MCP Gateways Fall Short](https://www.geordie.ai/resources/agentic-ai-governance-why-mcp-gateways-fall-short/): MCP gateways are a powerful component of securing AI agent ecosystems, but they have fundamental gaps for holistic agentic AI governance. - [AI Agent Risk: What Executives Need to Know to Innovate Safely and Confidently](https://www.geordie.ai/resources/ai-agent-risk-what-executives-need-to-know-to-innovate-safely-and-confidently/): AI Agent risk explained: what leaders need to know to govern, secure, and scale agentic systems without stifling innovation. - [Governing AI Agents: Best Practices to Scale Safely](https://www.geordie.ai/resources/ai-governance-best-practices/): Learn the five major barriers to AI agent adoption and how strategic governance can transform them into scalable opportunities. - [Building AI Agents? Here’s What Developers Want Leaders to Know](https://www.geordie.ai/resources/building-ai-agents-heres-what-developers-want-leaders-to-know/): Discover key developer insights on building AI Agents safely. Learn common challenges, risks, and what leaders must know to scale securely. - [Enterprise AI Governance: A Practical Roadmap to Scale AI Agents](https://www.geordie.ai/resources/enterprise-ai-governance/): A practical enterprise AI governance roadmap to move agents from pilot to production, with phases, owners, policies, and monitoring to scale safely. - [From Connectivity to Collaboration: APIs, MCPs, and A2A in Agentic Plans](https://www.geordie.ai/resources/from-connectivity-to-collaboration-apis-mcps-and-a2a-in-agentic-plans/): Understand APIs, MCPs, and A2A in plain terms. Explore how they connect, align, and collaborate as the foundation of AI Agents. - [Making AI Accountable: How Explainability and Observability Meet Regulation and Trust](https://www.geordie.ai/resources/making-ai-accountable-how-explainability-and-observability-meet-regulation-and-trust/): From ML to AI Agents, see how explainability and observability enable governance, risk management, and trusted AI adoption. - [How The Next MCP Release Shapes Agentic AI in Enterprise](https://www.geordie.ai/resources/model-context-protocol-security-next-mcp-release/): The next Model Context Protocol release, due November 2025, brings major security, identity and orchestration changes. What enterprise teams need to know. - [Moving Beyond Static Prompts to Living Playbooks: What ACE Means for Enterprise AI Governance](https://www.geordie.ai/resources/moving-beyond-static-prompts-to-living-playbooks-what-ace-means-for-enterprise-ai-governance/): Why prompts alone don't scale for enterprises and how ACE turns governance into living playbooks, with security implications and where to apply it today. - [OpenClaw and the Emergence of Personal AI Autonomy Infrastructure](https://www.geordie.ai/resources/openclaw-and-the-emergence-of-personal-ai-autonomy-infrastructure/): OpenClaw is not a toy or a failure. It is the first public test of personal AI autonomy and its security implications. - [Rethinking Security: The Limits of Endpoint Controls in an AI Agent World](https://www.geordie.ai/resources/rethinking-security-the-limits-of-endpoint-controls-in-an-ai-agent-world/): EDR and XDR watch processes and endpoints. AI agents are cloud-native, distributed and API-driven, so their footprint sits beyond device-based controls. - [Seeing the Risks Clearly: How Leaders Can Evaluate AI Investments with Confidence](https://www.geordie.ai/resources/seeing-the-risks-clearly-how-leaders-can-evaluate-ai-investments-with-confidence/): Executives need clarity on AI investments. Explore how risk mapping offers a structured way to weigh value against risk in enterprise AI adoption. - [The New Attack Surface: Why AI Agents Need Taint Analysis](https://www.geordie.ai/resources/the-new-attack-surface-why-ai-agents-need-taint-analysis/): From prompt injection to tool misuse, AI agents introduce new risks. How taint analysis strengthens security and uncovers vulnerabilities before they scale. - [Unlocking Safe Innovation: Why AI Agents Must Be Transparent](https://www.geordie.ai/resources/unlocking-safe-innovation-why-ai-agents-must-be-transparent/): AI Agent transparency is non-negotiable. Explore why visibility into operations is key for security, compliance, and safe enterprise adoption. ## News - [Geordie Launches Cost Intelligence to Connect AI Spend to the Agent Work Driving It](https://www.geordie.ai/resources/geordie-launches-cost-intelligence/): Cost Intelligence connects agent usage and activity directly to the costs they generate, giving AI Ops teams the financial picture behind agent activity. - [Geordie Now Available Through GuidePoint Security](https://www.geordie.ai/resources/geordie-now-available-through-guidepoint-security/): New collaboration gives GuidePoint customers access to purpose-built AI agent security and governance - [Geordie Recognized as a Cool Vendor by Gartner in “Coolest Vendor Innovations in AI Software Security” Report](https://www.geordie.ai/resources/geordie-named-a-cool-vendor-by-gartner/): Geordie was named a Cool Vendor in the 2026 Gartner Coolest Vendor Innovations in AI Software Security report, with Beam called out by name. - [Geordie Raises $30M to Help Enterprises Securely Adopt Agentic AI at Scale](https://www.geordie.ai/resources/geordie-raises-30m-to-help-enterprises-securely-adopt-agentic-ai-at-scale/): Geordie AI closes a $30M Series A led by Balderton Capital, with Crosspoint Capital, General Catalyst and Ten Eleven Ventures participating. - [Geordie AI Named to the 2026 CB Insights’ List of the 100 Most Innovative Artificial Intelligence Startups](https://www.geordie.ai/resources/geordie-ai-named-to-the-2026-cb-insights-list-of-the-100-most-innovative-artificial-intelligence-startups/): Geordie AI Named to the 2026 CB Insights’ List of the 100 Most Innovative Artificial Intelligence Startups - [Geordie Extends Agentic AI Security and Governance Coverage Through Claude Compliance API](https://www.geordie.ai/resources/geordie-extends-agentic-ai-security-and-governance-coverage-through-claude-compliance-api/): Geordie announces integration with Claude Compliance API to extend security and governance across the Claude Enterprise deployment surface - [Geordie AI Introduces Beam: The First AI Agent Remediation Suite with Context Engineering](https://www.geordie.ai/resources/geordie-ai-introduces-beam-the-first-ai-agent-remediation-suite-with-context-engineering/): Geordie announces AI agent remediation suite with context engineering - [Geordie AI Named “Most Innovative Startup” at RSAC 2026 Innovation Sandbox](https://www.geordie.ai/resources/geordie-ai-named-most-innovative-startup-at-rsac-2026-innovation-sandbox/): Geordie AI wins the RSAC 2026 Innovation Sandbox for AI agent security - [Geordie AI Selected as Top 10 Finalist for RSAC™ 2026 Conference Innovation Sandbox Contest](https://www.geordie.ai/resources/geordie-ai-rsac-2026-innovation-sandbox-finalist/): Geordie AI has been selected as a Top 10 finalist in RSAC™ 2026 Innovation Sandbox. Learn more about our AI agent security platform for enterprises. - [Geordie Wins Black Hat Europe 2025 Startup Spotlight](https://www.geordie.ai/resources/geordie-wins-black-hat-europe-2025-startup-spotlight/): Geordie won the Black Hat Europe Startup Spotlight 2025. Learn how enterprises can secure AI agents with behavioral observability and real-time control. - [Why We're Building Geordie](https://www.geordie.ai/resources/why-were-building-geordie/): Why enterprises need more than static controls: Geordie delivers AI governance that manages risk, meets compliance, and makes agent adoption safe and scalable.