---
title: "The Policy Context Layer: How Cyera's Sensitivity Classifications Make Your Agents Compliance-Aware Before They Act"
url: "https://atlan.com/demos/the-policy-context-layer-how-cyeras-sensitivity-classifications-make-your-agents-compliance-aware-before-they-act/"
excerpt: "Your AI agents don't know what data is sensitive. Cyera classifies it, Atlan delivers the context, and your agents stay policy-aware by default."
description: "AI agents are being deployed across the enterprise, and they keep getting things wrong. Not because the models are bad. Because the agents don't know obligations attach to a column. Cyera and Atlan close that gap. Cyera classifies sensitive data at column level across Snowflake (SSNs, credit card numbers, emails, geographic data) at machine speed. Those classifications flow natively into Atlan's context layer as structured tags, wired into every downstream policy and AI workflow. Zoom out to the database, and Atlan surfaces plain-text credit card data, overly permissive access paths, and compliance scope (PCI, SOC 2). One click pivots to identity access: how many users are external, stale, or missing MFA. Remediate back in Cyera. Atlan knows what the data means. Cyera knows what's sensitive. Together: AI agents that ship policy-aware by default. Built on the Atlan App Framework."
format: "Video"
duration: "PT2M59S"
video: "https://videos.ctfassets.net/nwa1c00rtgxb/6LTOxUDww2XhqVr6VyxmLc/a957db9f0b6e754f5577f049991fe386/AtlanCyeraWebinar.mp4"
thumbnail: "https://images.ctfassets.net/nwa1c00rtgxb/3xQ4C4yYkVAPnDN6qstncl/f4cac542ea59eb2a30d4e5426b9db331/the-policy-context-layer-cyera-sensitivity-classifications.webp"
content_purpose: ["Product Overview"]
target_persona: ["General", "Data Governance Lead"]
journey_stage: ["S1 - Prospecting", "S2 - Discovery", "S3 - Solution Design", "C1 - Onboarding", "C2 - First Value", "C3 - Adoption"]
use_case_context: ["Training"]
product: ["Data Marketplace - Data Quality"]
published: "2026-05-04"
updated: "2026-06-02"
content_type: "video transcript"
transcript_source: "sheet"
---

# The Policy Context Layer: How Cyera's Sensitivity Classifications Make Your Agents Compliance-Aware Before They Act

Transcript of the video at https://atlan.com/demos/the-policy-context-layer-how-cyeras-sensitivity-classifications-make-your-agents-compliance-aware-before-they-act/

AI agents are being deployed across the enterprise right now, and they keep getting things wrong, not because the models are bad, because the agents don't have context. They don't know which data is sensitive, they don't know who should have access. They don't know what compliance obligations attached to a column before they use it. This is a key part of context that's missing as we deploy ai. So we're excited to bring Ciara's context natively into at Land's Universal Context layer. Ciera AI security platform provides capabilities around data at rest DSPM data in motion, DLP and ai with its core data centric approach, Ciera brings its generated insights from automated data discovery classifications, and context of sensitive data from the DSPM side, social security numbers, credit card numbers, email addresses, geographic data at the column level across your entire Snowflake environment at machine speed.

Combining signals from both systems enhances context and powers how agents behave. That's where the integration comes in. Ciara's classifications flow directly into Atlan, the context layer for AI attached to the exact assets where humans and AI already work. Here on this social security number column, customer, US SSSN, from Ciara. Now living inside Atlan is a structured tag, searchable, filterable, and wired into every downstream policy and AI workflow. Sensitive data context becoming part of the shared layer that every agent reads in the Atlan platform. And this is where the real power of combination emerges, what we call the policy context layer at the column level.

Agents now inherit sensitivity context automatically, but zoom out to the database and the picture deepens in exactly the way AI needs it too. Security issues from S Surface here. Credit card data stored in plain text, overly permissive access paths. With the compliance frameworks in Scope PCI, SOC two and agent reasoning over this data doesn't have to infer risk. Your context is already there. Identity access makes the policy story explicit. How many identities have access to this sensitive data? How many are external, stale or missing multi-factor authentication with one click, you're back in Ciera to investigate and remediate.

This is the context that AI needs. At Land's Context layer knows what the data means, who owns it, where it flows, and what quality looks like. CI adds the dimension agents need most, what's sensitive, what's at risk, and who has access. We're excited to bring CI's data classification context into at Land's Enterprise Context layer to help build agents that are policy aware. And this integration is live on at Land's App Marketplace built via the app framework. The framework helped us build a first class integration quickly and easily with standardized APIs and SDKs.