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Enterprise Context Layer: 62+ Resources for AI Teams | Atlan
62+ guides on the enterprise context layer: what it is, how it works, and how Atlan builds it for AI teams deploying agents on Snowflake, Databricks, and dbt.
April 30, 2026Articles & tutorials
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Context Engineering
Context Agents for Enterprises: A 2026 Guide
Context agents are AI teammates that help you become AI-ready. Learn how they work, where they fail, and how Atlan makes them production-ready.
April 29, 2026
Context Engineering
Context Distraction: 2026 Guide
Too much context degrades AI agent accuracy. Learn why the enterprise fix isn't compression — it's canonical definitions and scoped context delivery.
April 29, 2026
Context Engineering
Activate 2026: Context Just Went From Hype to Reality
At Activate 2026, we stopped talking about context and showed it live, in front of thousands of data leaders. Here are the key takeaways.
April 29, 2026
AI Security
Context Poisoning: How Bad Context Breaks AI Agents
Context poisoning, both adversarial and accidental, silently breaks AI agents. Learn the four enterprise sources and how context drift detection prevents them.
April 29, 2026
Data Catalog
AI Agents for Data Catalog: What They Can and Can't Do
Learn what AI agents can do in a data catalog — from auto-classification to lineage traversal — and where governance must step in to keep outputs trustworthy.
April 28, 2026
Data Discovery
AI Agents vs Humans for Data Discovery: A Fair Comparison
AI agents and human stewards have distinct strengths in data discovery. Learn what each does best, where each fails, and how combining them produces reliable enterprise discovery.
April 28, 2026
AI Context Infrastructure
The AI Context Ecosystem: Platforms, Protocols, and Patterns
The AI context ecosystem spans five layers — foundation models to the governance layer most skip. Learn how each fits and where enterprise deployments break.
April 28, 2026
Data & AI Context
Bounded Context Spaces for AI Agents: Domain Isolation Explained
Apply domain-driven design to AI agents with bounded context spaces — domain-isolated environments that prevent context contamination and terminology conflicts.
April 28, 2026
Context Engineering
Context Engineering for AI Agents: The Infrastructure Discipline
Context engineering goes beyond prompts — it is a data infrastructure discipline. Learn the three-layer model and why governance is critical for enterprise AI agents.
April 28, 2026
Context Engineering
How Much Context Is Enough? A Framework for Scaling AI Context
More context does not fix AI agents — the right context does. Use this 3-axis framework to scale AI context without accumulating context debt.
April 28, 2026
LLM Context Engineering
How to Build Context for LLMs in Enterprise: A 5-Layer Guide
Building LLM context requires five layers: source, govern, structure, deliver, and maintain. Most teams skip layers 1-2 — the architecture that works in production.
April 28, 2026
Context Engineering and Enterprise AI
Context Engineering vs Prompt Engineering: What Enterprise AI Teams Need to Know
Context engineering optimizes what AI agents know. Prompt engineering optimizes how you ask. Learn why enterprise AI teams are shifting to context-first approaches.
April 27, 2026
AI Readiness
Context Graph vs Knowledge Graph: Key Differences for AI
Discover how context graphs extend knowledge graphs with operational metadata, temporal context, and decision traces to power trustworthy enterprise AI systems.
April 27, 2026
AI Readiness
Context Layer vs. Semantic Layer: What's the Difference & Which Layer Do You Need for AI Success?
Semantic layers define BI metrics. Context layers add governance, lineage, and decision context for AI agents. Compare key differences and see research results.
April 27, 2026![What Is a Large Language Model (LLM)? Enterprise Guide [2026]](https://website-assets.atlan.com/img/know/what-is-a-large-language-model-og.png)
AI Fundamentals
What Is a Large Language Model (LLM)? Enterprise Guide [2026]
A practical enterprise guide to large language models, covering how LLMs work, the current model landscape, and key criteria for enterprise deployment.
April 27, 2026![What Is a Vector Database? [2026]](https://website-assets.atlan.com/img/know/what-is-a-vector-database-og.png)
AI Infrastructure
What Is a Vector Database? [2026]
A vector database stores high-dimensional embeddings for semantic similarity search. Learn how vector databases work, compare top vendors, and why governing what gets indexed determines AI quality.
April 27, 2026
Context Engineering and Agentic AI
What Is Context Engineering & Why Does Enterprise AI Depend On It in 2026?
Context engineering designs systems that deliver the right information to AI agents at the right time. Learn how Atlan helps teams operationalize dynamic context assembly, institutional memory, and governed AI workflows.
April 27, 2026
Context Layer Definition and Enterprise AI Architecture
What Is a Context Layer and Why Do AI Systems Need It?
A context layer provides business meaning, governance rules, and organizational knowledge to AI systems at runtime. Learn what a context layer is, its core components, and how Atlan's context layer helps ground enterprise AI in certified organizational knowledge.
April 27, 2026
Agent Memory and Context Engineering
Agent Memory Architectures: Patterns and Trade-offs (2026)
Five agent memory architecture patterns in production in 2026, with benchmarked trade-offs across accuracy, latency, and governance. Atlan implements Pattern 5 — the enterprise context layer — as governed organizational memory for AI agents.
April 24, 2026
General
Agent Access Control: How to Secure AI Agents at Context Layer
Agent access control governs who calls an AI agent and what context it retrieves. Learn the risks, frameworks, and enforcement architecture for enterprise AI.
April 24, 2026
General
AI Security for Enterprise: Protecting AI Agents in 2026
AI security for enterprise covers prompt injection, data poisoning, model theft, and ungoverned agent risk. Learn the architecture that defends against both.
April 24, 2026
General
Context Architecture for AI Agents: A Complete Guide for 2026
Context architecture designs what an AI agent sees: system context, memory, artifacts, and retrieval. Learn about its core components and how to optimize them.
April 24, 2026
Context layer
Context Drift Is the Silent Failure Mode for Your AI Model Layer
Context drift causes AI agents to reason over stale definitions with no error signal. Learn the three root patterns and how Atlan's context lineage detects drift before it reaches production.
April 24, 2026
