# ThinkNEO
> AI governance control plane for enterprise AI operations. ThinkNEO sits between your applications and AI providers (OpenAI, Anthropic, Google, Mistral, DeepSeek and more) adding cost control, policy enforcement, guardrails, observability and compliance — free to observe, pay to enforce.

## Main pages
- [Home](https://thinkneo.ai/): product overview, AI governance gateway
- [Developers](https://thinkneo.ai/developers): dev-first self-serve — start free, GitHub OAuth, 5-minute onboarding
- [Enterprise](https://thinkneo.ai/enterprise): enterprise governance, compliance (SOC2/GDPR/HIPAA readiness), trust scoring
- [Platform](https://thinkneo.ai/platform): platform capabilities map

## MCP (Model Context Protocol)
- [ThinkNEO MCP Server](https://mcp.thinkneo.app/): remote MCP servers for AI governance — cost checks, guardrails, policy, trust score and more. Works with Claude Code, Claude Desktop, Cursor and any MCP client.

## Blog
- [AI Governance Needs a Security Layer — Here’s Why: what it means for enterprise operations](https://thinkneo.ai/blog/ai-governance-needs-a-security-layer-here-s-why-what-it-means-for-enterprise-operations-20260314): AI governance only becomes real when security controls sit underneath it. Here is what that layer looks like in practice, and who owns each part.
- [Building AI-Native Applications with the Model Context Protocol](https://thinkneo.ai/blog/building-ai-native-applications-with-model-context-protocol-20260418-1400): A developer-focused guide to the Model Context Protocol (MCP). Learn how to connect Claude Desktop and Cursor to an MCP server, build custom tools, a…
- [From Shadow AI to Governed AI: A Practical Migration Guide](https://thinkneo.ai/blog/from-shadow-ai-to-governed-ai-practical-migration-guide-20260418-1100): Shadow AI is the fastest-growing security risk in enterprise IT. This guide provides a step-by-step migration path from uncontrolled AI usage to gove…
- [Why Your AI Stack Needs an MCP Control Layer in 2026](https://thinkneo.ai/blog/why-your-ai-stack-needs-an-mcp-control-layer-in-2026-20260418-0900): As enterprises adopt multiple AI models and tools, the Model Context Protocol (MCP) emerges as the missing control plane. Learn why a governed MCP se…
- [Current Enterprise AI Signals: how leaders can deploy this safely](https://thinkneo.ai/blog/current-enterprise-ai-signals-how-leaders-can-deploy-this-safely-20260318-0900): Use current media signals to choose the strongest enterprise AI angle for the morning slot
- [Secrets Exposure in AI Apps: Where Credentials Leak and How to Stop It: an enterprise operator briefing](https://thinkneo.ai/blog/secrets-exposure-in-ai-apps-where-credentials-leak-and-how-to-stop-it-an-enterprise-operator-bri): This article analyzes "Secrets Exposure in AI Apps: Where Credentials Leak and How to Stop It" for security leaders, with concrete implementation ste…
- [Model Supply Chain Security: How to Vet Open-weight Models Before Enterprise Use: what it means for enterpris…](https://thinkneo.ai/blog/model-supply-chain-security-how-to-vet-open-weight-models-before-enterprise-use-what-it-means-fo): Use the ThinkNEO enterprise blueprint to produce a practical B2B article for security leaders with operational guidance and a governed AI perspective.
- [How to Design a Resilient AI Architecture for Business-Critical Workloads](https://thinkneo.ai/blog/design-resilient-ai-architecture-business-critical-workloads-20260317-1400): Enterprise AI deployments demand more than model accuracy; they require architectural resilience. This blueprint outlines how to build systems that r…
- [Current Enterprise AI Signals: what it means for enterprise operations](https://thinkneo.ai/blog/current-enterprise-ai-signals-what-it-means-for-enterprise-operations-20260317-0900): Use current media signals to choose the strongest enterprise AI angle for the morning slot.
- [Late-day Enterprise AI Signals: what it means for enterprise operations](https://thinkneo.ai/blog/late-day-enterprise-ai-signals-what-it-means-for-enterprise-operations-20260316-1700): Use current media signals to choose the strongest governance or adoption angle for the late-day slot.
- [Current Enterprise AI Signals: what it means for enterprise operations](https://thinkneo.ai/blog/current-enterprise-ai-signals-what-it-means-for-enterprise-operations-20260316-0900): Use current media signals to choose the strongest enterprise AI angle for the morning slot.
- [How to Prevent Sensitive Data Leakage When Employees Use AI](https://thinkneo.ai/blog/how-to-prevent-sensitive-data-leakage-when-employees-use-ai-20260315-1200): As enterprise AI adoption accelerates, the risk of sensitive data leakage through uncontrolled AI usage grows. This article outlines practical govern…
- [How to Prevent Sensitive Data Leakage When Employees Use AI](https://thinkneo.ai/blog/prevent-sensitive-data-leakage-when-employees-use-ai-20260315-1200): As enterprise adoption of generative AI accelerates, the risk of sensitive data leakage through unmonitored employee usage grows. This article outlin…
- [Roadmapping AI Features Without Chasing Hype](https://thinkneo.ai/blog/roadmapping-ai-features-without-chasing-hype-20260315-1000): A practical guide for product leaders on building AI roadmaps that prioritize strategic alignment over fleeting trends, ensuring governance and opera…
- [Navigating the Noise: Turning Daily AI Signals into Operational Clarity](https://thinkneo.ai/blog/navigating-the-noise-turning-daily-ai-signals-into-operational-clarity-20260315-0900): Marketing and operations leaders face a constant stream of enterprise AI updates. This article provides a framework to filter noise, identify genuine…
- [Navigating the Noise: A Framework for Enterprise AI Signals](https://thinkneo.ai/blog/navigating-the-noise-enterprise-ai-signals-20260315-0900): Marketing and operations leaders face a constant stream of AI news. This article provides a structured approach to filter daily signals into actionab…
- [Cost Control in AI Infrastructure: Practical Engineering Strategies](https://thinkneo.ai/blog/cost-control-in-ai-infrastructure-practical-engineering-strategies-20260315-0800): Enterprise AI adoption is accelerating, but uncontrolled infrastructure spend threatens ROI. This article outlines practical engineering strategies—m…
- [The Executive Guide to Governing AI Without Slowing Innovation](https://thinkneo.ai/blog/executive-guide-governing-ai-without-slowing-innovation-20260314-0700): Enterprise leaders face a critical challenge: how to implement AI governance that protects assets and compliance without stifling the speed of innova…
- [Late-Day Signals in Enterprise AI Governance and Adoption](https://thinkneo.ai/blog/late-day-signals-enterprise-ai-governance-adoption-20260313-1700): Recent executive appointments signal a shift in how enterprises approach AI. This article explores the operational implications of treating AI as a s…
- [Building Reliable AI Workflows with Human-in-the-Loop](https://thinkneo.ai/blog/building-reliable-ai-workflows-with-human-in-the-loop-20260313-1600): Full autonomy in AI systems introduces operational risks. This article outlines how integrating human oversight into workflows enhances reliability,…
- [Human-in-the-Loop as a Product Decision: Beyond the Engineering Checklist](https://thinkneo.ai/blog/human-in-the-loop-as-a-product-decision-20260313-1400): Moving beyond engineering constraints, this article explores how product teams can strategically integrate human oversight to build trust, ensure res…
- [How Ungoverned AI Creates Hidden Operational Debt](https://thinkneo.ai/blog/how-ungoverned-ai-creates-hidden-operational-debt-20260313-1200): Ungoverned AI initiatives often appear cost-effective initially but accumulate hidden operational debt through inefficiencies, compliance risks, and…
- [AI Observability: What Teams Need to Monitor](https://thinkneo.ai/blog/ai-observability-what-teams-need-to-monitor-20260313-1000): Traditional logging methods fail to capture the dynamic nature of AI systems. This guide outlines the critical signals engineering teams must monitor…
- [From Signal to Strategy: Navigating Secure AI Automation in Enterprise Operations](https://thinkneo.ai/blog/signal-to-strategy-ai-automation-20260313-0900): Recent media signals regarding secure AI-driven automation operations highlight a critical shift in enterprise technology. This article translates th…
- [Secure-by-Design AI Applications: What Good Looks Like](https://thinkneo.ai/blog/secure-by-design-ai-applications-what-good-looks-like-20260313-0800): Building AI security into the foundation is cheaper than retrofitting it later. This article outlines the cost of reactive security, core design prin…
- [Why AI Governance Will Become as Important as Cloud Governance](https://thinkneo.ai/blog/ai-governance-cloud-governance-parallels-20260313-0700): As enterprises scale AI deployments, the parallels between cloud and AI governance become undeniable. This article explores the structural necessity…
- [The Late-Day Shift: From IT Project to Enterprise AI Governance](https://thinkneo.ai/blog/late-day-enterprise-ai-signals-and-governance-20260312-1700): Recent executive appointments signal a strategic pivot in enterprise AI. This article explores the operational implications of treating AI as a gover…
- [AI Features That Deliver Value in the First 5 Minutes](https://thinkneo.ai/blog/ai-features-that-deliver-value-in-the-first-5-minutes-20260312-1600): Why enterprise AI adoption stalls and how to engineer the first five minutes of user value to ensure adoption, governance, and measurable ROI.
- [The Minimum Viable AI Governance Stack for Mid-Market Companies](https://thinkneo.ai/blog/minimum-viable-ai-governance-mid-market-20260312-1200): Mid-market enterprises face unique pressures when deploying AI. This article outlines the essential components of a governance stack that balances in…
- [The Hidden Risks of Shadow AI in the Workplace](https://thinkneo.ai/blog/hidden-risks-of-shadow-ai-workplace-20260312-1000): Unauthorized AI tools are proliferating across enterprises, creating invisible security gaps and compliance blind spots. This article outlines the op…
- [Navigating Enterprise AI Signals: From Security Partnerships to Operational Resilience](https://thinkneo.ai/blog/navigating-enterprise-ai-signals-security-operations-20260312-0900): Recent market signals regarding enhanced security integrations in enterprise AI highlight the critical need for operational leaders to align deployme…
- [The UX of AI: Why Good Prompts Alone Are Not a Product Strategy](https://thinkneo.ai/blog/the-ux-of-ai-why-good-prompts-alone-are-not-a-product-strategy-20260312-0800): Prompts are a feature, not a strategy. This article explores the structural components of enterprise AI UX, from input and context to failure states…
- [Late-Day Signals in Enterprise AI Governance and Adoption](https://thinkneo.ai/blog/late-day-signals-enterprise-ai-governance-adoption-20260311-1700): Navigating the intersection of cloud AI adoption and automation demand requires a shift from reactive noise to proactive governance. This guide helps…
- [RAG Done Right: Common Mistakes and Better Approaches](https://thinkneo.ai/blog/rag-done-right-common-mistakes-and-better-approaches-20260311-1600): Enterprise AI teams often struggle with Retrieval-Augmented Generation (RAG) systems that fail to deliver reliable, grounded responses. This article…
- [How to Protect Sensitive Data in AI Workflows](https://thinkneo.ai/blog/protect-sensitive-data-in-ai-workflows-20260311-1400): A comprehensive guide for security leaders and compliance owners on safeguarding sensitive data throughout enterprise AI workflows through classifica…
- [How to Build an AI Governance Framework for a Growing Company](https://thinkneo.ai/blog/how-to-build-an-ai-governance-framework-for-a-growing-company-20260311-1200): A practical guide for enterprise leaders on establishing responsible AI governance that scales with organizational growth, ensuring compliance, secur…
- [When Should a Product Use an AI Agent vs. a Workflow?](https://thinkneo.ai/blog/ai-agent-vs-workflow-enterprise-strategy-20260311-1000): Navigating the choice between autonomous AI agents and deterministic workflows requires understanding operational risks, governance constraints, and…
- [Navigating AI Connectivity: From Signal to Strategy for Enterprise Operations](https://thinkneo.ai/blog/navigating-ai-connectivity-signal-to-strategy-20260311-0900): Recent developments in AI infrastructure highlight the critical need for operational safety and governance. This article translates market signals in…
- [LLM Architecture Patterns for Enterprise Applications](https://thinkneo.ai/blog/llm-architecture-patterns-for-enterprise-applications-20260311-0800): A technical guide for engineering leaders on selecting the right LLM architecture patterns—chat, RAG, agents, and deterministic workflows—balancing i…
- [Why Enterprise AI Needs a Control Layer, Not Just Access to Models](https://thinkneo.ai/blog/why-enterprise-ai-needs-a-control-layer-not-just-access-to-models-20260311-0700): Access to AI models is no longer the bottleneck; governance is. This article outlines why a dedicated control layer is essential for operational safe…
- [AI Security Basics for Enterprise Leaders](https://thinkneo.ai/blog/ai-security-basics-for-enterprise-leaders-20260310-0800): Moving beyond traditional cybersecurity to secure enterprise AI systems requires a fundamental shift in governance, risk management, and operational…
- [From Demo to Deployment: Engineering the Production-Grade AI System](https://thinkneo.ai/blog/from-demo-to-production-engineering-guide-20260310-1000): Moving an AI prototype into production requires more than code optimization; it demands architectural rigor, operational resilience, and governance.…
- [Designing AI Products People Actually Trust](https://thinkneo.ai/blog/designing-ai-products-people-actually-trust-20260310-1400): Trust is not an afterthought in AI product development; it is a foundational requirement. This article outlines the critical product decisions that b…
- [Prompt Injection: What It Is and Why It Matters](https://thinkneo.ai/blog/prompt-injection-enterprise-risk-20260310-1600): An executive guide to understanding prompt injection risks in enterprise AI, covering operational impacts, real-world attack vectors, and governance…
- [Prompt Injection: What It Is and Why It Matters](https://thinkneo.ai/blog/prompt-injection-what-it-is-and-why-it-matters-20260310-1600): An executive guide to understanding prompt injection risks in enterprise AI, defining the threat, analyzing practical attack vectors, and outlining g…
- [Late-Day Enterprise AI Signals: From Market Noise to Operational Clarity](https://thinkneo.ai/blog/late-day-enterprise-ai-signals-20260310-1700): Analyzing the latest enterprise adoption data reveals critical insights into the operational friction points of AI integration. This piece guides mar…
- [What Enterprise Adoption Data Reveals About the AI Boom](https://thinkneo.ai/blog/what-enterprise-adoption-data-reveals-about-the-ai-boom-20260310-1700): Analyzing the latest signals from enterprise AI adoption to uncover the operational implications and governance challenges facing modern business lea…
- [What an Enterprise AI Center of Excellence Should Actually Do](https://thinkneo.ai/blog/what-an-enterprise-ai-center-of-excellence-should-actually-do-last-queue-blueprint-060): Moving beyond buzzwords, this guide outlines the concrete functions, governance structures, and operational responsibilities required for an Enterpri…
- [From Market Noise to Operational Clarity: Navigating Enterprise AI Signals](https://thinkneo.ai/blog/enterprise-ai-signals-to-operational-clarity-20260310-0900): How marketing and operations leaders can translate accelerated AI security deployments into practical governance strategies without relying on vendor…
- [What Is AI Governance and Why Your Company Will Need It Now](https://thinkneo.ai/blog/what-is-ai-governance-and-why-your-company-will-need-it-now-20260310-0700): As enterprises scale AI initiatives, the shift from experimental pilots to production deployment demands structured governance. This article outlines…
- [World models and physical AI: what enterprise teams should watch now](https://thinkneo.ai/blog/world-models-and-physical-ai-what-enterprise-teams-should-watch-now-task-e0218ea3): Why physical-world AI signals are reshaping how enterprise teams think about capability, risk, and operational value.
- [Navigating the Daily AI Signals: A Clear and Consistent Approach to AI Governance and Adoption for Marketing…](https://thinkneo.ai/blog/navigating-the-daily-ai-signals-20260309-1700): Staying informed about the latest AI developments is crucial for enterprise success. In this article, we explore the operational implications of curr…