AWS IAM Integration

Connect AWS IAM — Data Acceleration

Connect AWS IAM in 5 minutes and let your AI agent query campaign performance, analyze spend and ROAS, optimize ad groups, and monitor impressions, clicks, and conversions. Combine AWS IAM data with 1,000+ marketing and analytics sources for complete cross-channel intelligence.

SOC 2 Type II
1,000+ Data Sources
Any Warehouse or BI Tool
A
Improvado Agent
Connected to AWS IAM
Show me all IAM users with admin privileges created in the last 30 days.
Found 3 new admin users across your AWS accounts. Two were created by the DevOps team for CI/CD pipelines, one by Finance for audit access. The Finance user has no MFA enabled and hasn't been used in 18 days.
Flag that Finance user for review and send me a weekly report on unused admin accounts.
Done. Flagged user 'audit-finance-01' for security review. Scheduled weekly report on admin accounts with zero activity in 14+ days. You'll also get alerts if any new admin user is created without MFA.
Trusted by data-driven teams
DockerOMDhimsillyMattelASUSActivision
1,000+
Integrations
200+
AWS IAM Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Improvado Key Takeaways

Connect AWS IAM with automated integration

Improvado connects directly to AWS IAM's SQL interface to extract your processed marketing datasets and analytical results. Our platform pulls transformed data, aggregated metrics, and analytical outputs from your Dremio data lakehouse on your preferred schedule. Data flows seamlessly from Dremio to your chosen destinations without complex query management. Authentication and connection handling happens automatically through our secure interface.

200+ metrics and dimensions Campaigns, ad groups, keywords, audiences, geo, device — all granularity levels from the AWS IAM API
15-minute refresh cycles Near real-time sync with 99.9% SLA uptime. No stale dashboards.
Cross-channel normalization Marketing CDM unifies your data with 1,000+ sources into one schema. No manual mapping.
Any warehouse or BI tool Snowflake, BigQuery, Redshift, Databricks, Power BI, Tableau, Looker Studio
AI Agent access via MCP Query, write, and monitor AWS IAM through Claude, ChatGPT, Cursor, or any MCP client
Enterprise-grade security SOC 2 Type II, HIPAA, GDPR, CCPA. Raw data never leaves your environment.
OAuth setup in under 5 minutes No API keys, no code, no developer setup. Schema changes handled automatically.
Zero ongoing maintenance Pagination, rate limits, API versioning — all managed. Your team focuses on analysis.
Integration Details

Unified data lakehouse integration

AWS IAM integration extends Improvado's Marketing Common Data Model to include your processed lakehouse datasets alongside raw marketing platform data. Combine Dremio's analytical outputs with fresh marketing data for comprehensive reporting workflows. Use Dremio as an intermediate processing layer while maintaining unified data governance across all platforms. Build dashboards that blend real-time marketing data with historical analytical insights from your lakehouse.

AWS IAM API · AWS access keys · daily sync · full refresh
Schema Overview

Data objects and fields Improvado extracts from AWS IAM

Object Fields
User
userName userId createDate passwordLastUsed mfaEnabled
Role
roleName roleId createDate assumeRolePolicyDocument maxSessionDuration
Policy
policyName policyId createDate attachmentCount defaultVersionId
Group
groupName groupId createDate path arn
AccessKey
accessKeyId status createDate userName lastUsedDate
How it works

From connection to autonomous action in three steps

1

Connect

Connect AWS IAM through read-write API credentials with permissions for iam:ListUsers, iam:GetRole, iam:UpdateAssumeRolePolicy, and cloudtrail:LookupEvents. The agent authenticates via IAM user or role with programmatic access, pulling identity and access data across all linked AWS accounts in your organization.

2

Ask

Ask questions like 'Which service accounts have unused permissions?' or 'Show me all roles that can assume admin access' or 'Which users accessed S3 buckets outside business hours last week?'

3

Act

The agent modifies IAM policies to remove unused permissions, updates trust relationships on roles, enables MFA requirements, rotates access keys on a schedule, and revokes sessions for flagged users. It enforces least-privilege policies by comparing actual resource access against granted permissions.

Use Cases

What teams ask their AI agent about AWS IAM

Real prompts from enterprise marketing teams. The agent reads your data, answers in seconds, and takes action when you ask.

See how teams use Improvado →
A
Improvado Agent Analysis

Extract AWS IAM analytical results to combine with real-time marketing platform data

Your AI agent analyzes AWS IAM data and delivers actionable insights — automatically, in seconds.

3 hrs → 10 min
A
Improvado Agent Cross-channel

Sync processed customer segments from AWS IAM to marketing automation platforms

Your AI agent analyzes AWS IAM data and delivers actionable insights — automatically, in seconds.

5 hrs → 15 min
A
Improvado Agent Reporting

Generate executive reports combining AWS IAM insights with fresh campaign data

Your AI agent analyzes AWS IAM data and delivers actionable insights — automatically, in seconds.

Manual → auto
AI Agent Access

Your agent doesn't just read AWS IAM — it optimizes campaigns.

Read

The agent reads IAM users, roles, groups, policies, permission boundaries, access keys, MFA device status, password policies, service control policies, and CloudTrail logs for authentication events. It pulls cross-account trust relationships, assume-role activity, and permission usage patterns across your AWS organization.

Write

The agent updates IAM policies to remove unused permissions, modifies trust relationships on roles, enables or enforces MFA on users, rotates access keys, deletes inactive credentials, attaches permission boundaries, and revokes active sessions. It applies service control policies and updates password requirements at the organization level.

Monitor

The agent monitors for new IAM users or roles with elevated privileges, access key age exceeding rotation policies, failed login attempts indicating brute force, cross-account access from unknown accounts, permission escalation attempts, and any IAM entity operating without MFA. It tracks unused permissions and flags over-privileged identities.

Query metrics, pause underperforming ad groups, adjust budgets, and monitor ROAS shifts through Claude, ChatGPT, Cursor, or any MCP client. Every campaign update, spend adjustment, and data query is logged and governed for full compliance.

Claude ChatGPT Cursor Gemini Any MCP Client
Improvado Agent · AWS IAM
You
Which IAM roles have cross-account access and when were they last used?
A
Cross-Account Roles
Role Name Trusted Account Last Used
DataPipelineRole Partner-Analytics 2 days ago
VendorIntegrationRole Logistics-External 47 days ago
AuditAccessRole Compliance-Team 8 hours ago
LegacyMigrationRole Old-Infrastructure 91 days ago
PartnerAPIRole Shipping-Provider 12 days ago
5 cross-account roles · 2 unused 30+ days · 1 unused 90+ days
You
Remove trust relationship for LegacyMigrationRole since the migration finished months ago.
A
Trust Policy Updated
LegacyMigrationRole · Old-Infrastructure account removed
Destinations

Send AWS IAM data anywhere

Load normalized data to your preferred warehouse, BI tool, or cloud storage. Click any destination to see its integration guide.

SOC
SOC 2 Type II Audited data management
H
HIPAA Healthcare compliance
EU
GDPR EU data protection
CA
CCPA California privacy
Compare

They extract data. Improvado deploys an agent.

Traditional tools move data from A to B. Improvado gives you an AI agent that reads, acts, and monitors — with AWS IAM as one of 1,000+ integrated sources.

Feature Improvado Supermetrics Funnel.io Fivetran
Data fields extracted 200+ ~90 ~120 ~80
Total integrations 1,000+ ~150 ~500 ~300
Cross-channel normalization (CDM) ✓ Built-in ✗ Manual ● Basic mapping ✗ Raw only
AI Agent access (MCP) ✓ Read, Write, Monitor
Data warehouse destinations ✓ 16+ warehouses & BI tools Sheets, Looker, BigQuery BigQuery, Snowflake, Redshift ✓ Broad warehouse support
Refresh frequency Every 15 min Scheduled triggers Daily / 6hr Every 15 min (premium)
SOC 2 Type II & HIPAA ✗ SOC 2 only ✓ SOC 2
Best for Teams that want an AI agent, not a pipeline Small teams, spreadsheets Mid-market, data teams Engineering-led ELT pipelines

Comparison based on publicly available documentation as of April 2026. Feature availability may vary by plan tier.

FAQ

Frequently asked questions

What data can Improvado extract from AWS IAM?
Improvado extracts any dataset accessible through AWS IAM's SQL interface including processed tables, analytical results, and aggregated metrics. This includes customer segments, attribution models, and historical analysis outputs from your data lakehouse. All data maintains original schema and relationships for accurate downstream analysis.
How does AWS IAM integration work with other connectors?
AWS IAM serves as both a source and destination in Improvado's ecosystem, allowing bidirectional data flow. Extract processed insights from AWS IAM while simultaneously loading fresh marketing data into your lakehouse. Use Dremio for complex transformations alongside Improvado's real-time data ingestion from 500+ marketing platforms.
Can I schedule automatic AWS IAM data extraction?
Yes, Improvado runs automated queries against AWS IAM on your configured schedule - hourly, daily, or weekly. Define specific datasets or queries to extract automatically without manual intervention. Schedule coordination ensures fresh analytical results flow to downstream systems consistently.
Does this require special AWS IAM configuration?
Improvado connects through AWS IAM's standard SQL interface using your existing user credentials and permissions. No special configuration or additional software installation required on your Dremio cluster. Connection setup takes minutes through our secure authentication interface.
Where can I send data extracted from AWS IAM?
Data from AWS IAM flows to any destination in Improvado's ecosystem including BigQuery, Snowflake, Redshift, Azure, Tableau, Power BI, and Looker. Send processed insights to multiple destinations simultaneously or use Dremio as an intermediate processing step in larger data workflows.
How does AWS IAM connect with other platforms in Improvado?
AWS IAM data flows into Improvado's Common Data Model alongside 1,000+ marketing, analytics, and sales sources. Your AI agent can compare AWS IAM ROAS with Google Ads performance, correlate impressions with CRM conversions, and analyze cross-channel attribution — all through natural language queries.