Development Required

Connect AWS IAM — Data Acceleration

Connect AWS IAM in 5 minutes and let your AI agent query users, roles, policies, groups, and access keys. Combine IAM data with 1,000+ business, analytics, and security sources for complete visibility into who can do what across your AWS accounts.

  • 1,000+ data sources
  • Any warehouse or BI tool
SOC 2 Type II — AICPA certified HIPAA compliant
improvado.io/agent · AWS IAM
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

1,000+
Integrations
200+
AWS IAM Fields
99.9%
SLA Uptime
<5 min
Setup
SOC 2
Type II
Key Takeaways

Connect AWS IAM with automated integration

Improvado connects to the AWS IAM API using your AWS access keys and extracts your identity and access data on a daily schedule. Our platform pulls users, groups, roles, policies, and access keys — including MFA status, creation dates, and last-used timestamps — with a full refresh on every run, so each sync reflects the current state of your account. Authentication and connection handling happen 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 identity and access visibility

AWS IAM integration brings your access-control data into Improvado alongside the rest of your business and analytics sources. Join IAM roles and policy attachments against activity from other systems to see where privileges have accumulated, spot access keys that have gone unused for months, and keep a historical record of how permissions changed over time. Build dashboards that answer who has access to what, and since when, without exporting CSVs from the AWS console.

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

01

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.
02

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?'
03

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

Run a least-privilege access review across every IAM user and role

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

3 hrs → 10 min
A
Improvado Agent Cross-channel

Find unused access keys and accounts belonging to departed employees

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

5 hrs → 15 min
A
Improvado Agent Reporting

Produce access-control evidence for a SOC 2 or ISO 27001 audit

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 IAM — it audits it.

Query users, roles, policies, and access keys, surface over-privileged principals, and track credential hygiene through Claude, ChatGPT, Cursor, or any MCP client. Every query is logged, governed, and auditable.

Explore MCP →

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.
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
Works with
ClaudeChatGPTCursorGeminiAny MCP Client
SOC 2 Type II
Certified Security
HIPAA
Health Data Privacy
GDPR
EU Data Protection
CCPA
CA Privacy Standard
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 your IAM users, groups, roles, policies, and access keys. Fields include user names and IDs, creation dates, password and key last-used timestamps, MFA enrollment, role trust policies and maximum session duration, policy attachment counts, and group membership. All records keep their original identifiers so you can join them with data from your other connected sources.
How does AWS IAM integration work with other connectors?
AWS IAM is a source in Improvado's ecosystem, feeding identity and access data into the same warehouse as your other connected platforms. Correlate IAM users with HR records to catch accounts belonging to departed employees, or match role and policy assignments against activity from your other business and security systems.
Can I schedule automatic AWS IAM data extraction?
Yes. Improvado syncs AWS IAM on a daily schedule, performing a full refresh so each run reflects the current state of your account rather than a partial snapshot. Adjust the schedule to match your access-review cadence.
Does this require special AWS IAM configuration?
Improvado connects using AWS access keys belonging to an IAM principal with read-only access to IAM. No agents or additional software need to be installed in your AWS account, and the connection never requests write permissions.
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 it to several destinations at once, or into an existing security and compliance reporting workflow.
How does AWS IAM connect with other platforms in Improvado?
AWS IAM data lands in Improvado's Common Data Model alongside 1,000+ business, analytics, and security sources. Your AI agent can cross-reference IAM users with directory and sign-in activity, match role assignments to organizational data, and flag access keys that have gone unused — all through natural language queries.