Connectors / Integration
Automate Compliance and Security Workflows Between Drata and AWS
Connect Drata's compliance automation platform with AWS to continuously monitor your cloud infrastructure, close control gaps, and stay audit-ready at scale.
Drata + AWS Generic Connector integration
Drata is a compliance automation platform that helps organizations achieve and maintain certifications like SOC 2, ISO 27001, and HIPAA by continuously monitoring security controls. AWS is the backbone of countless engineering environments — and a surface area that compliance teams have to track constantly. Integrating Drata with AWS through tray.ai gives security and DevOps teams an automated pipeline for surfacing cloud configuration data, mapping it to compliance controls, and triggering remediation workflows without manual overhead.
Maintaining compliance across a dynamic AWS environment is a constant challenge. Engineers spin up new resources, modify IAM policies, and adjust security group rules daily — any of which can open a compliance gap. Without tight integration between your cloud infrastructure and your compliance platform, audit prep turns into a fire drill of manual evidence collection, spreadsheet tracking, and reactive fixes. By connecting Drata and AWS through tray.ai, compliance and security teams can automatically surface AWS resource configurations, push evidence directly into Drata controls, trigger alerts when cloud posture drifts out of compliance, and feed remediation tasks back into engineering workflows in real time. The result is a continuous compliance loop that cuts audit fatigue, shortens evidence collection cycles, and gives leadership live visibility into the organization's cloud security posture.
Automate & integrate Drata + AWS Generic Connector
Automating Drata and AWS Generic Connector business processes or integrating data is made easy with Tray.ai.
Use case
Automated AWS Evidence Collection for SOC 2 Audits
Pulling evidence for SOC 2 audits from AWS environments manually is slow and error-prone. With tray.ai, teams can automatically query AWS services — CloudTrail, Config, IAM, GuardDuty — and push relevant evidence records directly into Drata's control library on a scheduled or event-driven basis. Drata always has current, accurate evidence without requiring engineers to manually export and upload logs.
- Eliminates manual evidence collection from AWS consoles and CLI
- Keeps Drata control evidence continuously up to date between audit cycles
- Reduces the risk of stale or incomplete evidence during audit windows
Use case
Real-Time Cloud Misconfiguration Alerts Synced to Drata
When AWS Config or AWS Security Hub detects a configuration drift or policy violation, that finding needs to reach your compliance platform immediately. tray.ai can listen for AWS finding events and automatically create or update corresponding control failures in Drata, flag affected assets, and notify the responsible team — turning reactive detection into a structured compliance response.
- Instantly surfaces AWS misconfigurations as Drata control failures
- Alerts compliance owners without manual monitoring
- Creates a documented audit trail linking cloud findings to control status
Use case
IAM Access Review Automation
Periodic IAM access reviews are a mandatory control for SOC 2 and ISO 27001, yet gathering the data from AWS and reconciling it in Drata is often done manually. tray.ai can automate the extraction of IAM user lists, role assignments, and permission boundaries from AWS, format the data to match Drata's evidence requirements, and upload it on a defined review cadence — so access control evidence is always audit-ready.
- Automates quarterly or monthly IAM review evidence collection
- Keeps role and permission data in Drata in sync with live AWS state
- Cuts hours of manual work per review cycle down to minutes
Use case
AWS CloudTrail Log Ingestion and Compliance Mapping
CloudTrail logs are a gold-standard source of evidence for change management, access monitoring, and incident response controls. tray.ai can continuously pull CloudTrail event data, filter for compliance-relevant activities, and push summarized evidence records into the appropriate Drata controls — making log-based evidence management fully hands-off.
- Continuously ingests and maps CloudTrail events to Drata controls
- Filters noise to surface only compliance-relevant activities
- Supports change management and privileged access control evidence requirements
Use case
New AWS Resource Discovery and Control Assignment
When new EC2 instances, S3 buckets, RDS databases, or Lambda functions are provisioned in AWS, they need to be assessed against compliance controls in Drata. tray.ai can detect new resource creation events via AWS EventBridge or CloudTrail, automatically register those assets in Drata, and trigger workflows to assign ownership and kick off control checks — so no new resource falls through the compliance cracks.
- Automatically registers new AWS resources as assets in Drata
- Triggers ownership assignment and control evaluation for new resources
- Prevents compliance blind spots from untracked cloud infrastructure
Use case
Vulnerability Finding Sync from AWS Inspector to Drata
AWS Inspector continuously scans EC2 instances and container images for vulnerabilities, but those findings need to translate into actionable compliance data in Drata. tray.ai can consume AWS Inspector findings, evaluate their severity against your compliance thresholds, and create or update vulnerability management evidence and risk items in Drata automatically.
- Bridges AWS Inspector findings directly into Drata's vulnerability control evidence
- Prioritizes findings by severity so compliance attention goes where it matters
- Maintains a continuous vulnerability management evidence record without manual exports
Challenges Tray.ai solves
Common obstacles when integrating Drata and AWS Generic Connector — and how Tray.ai handles them.
Challenge
Mapping Diverse AWS Resource Types to Drata Controls
AWS exposes hundreds of resource types and service APIs, each with its own data schema. Mapping the right fields from EC2, IAM, S3, RDS, CloudTrail, or Security Hub findings to the specific evidence format Drata expects requires significant custom transformation logic — which gets harder to maintain as both AWS APIs and Drata's control library evolve.
How Tray.ai helps
tray.ai's visual workflow builder includes built-in data transformation tools — JSONPath selectors, custom scripts, and schema mapping steps — that make it straightforward to normalize AWS API responses into the format Drata expects. Workflows are easy to update when APIs change, and reusable transformation components can be shared across multiple AWS-to-Drata pipelines.
Challenge
Handling AWS API Rate Limits During Large Evidence Collection Jobs
Bulk evidence collection workflows that query IAM, CloudTrail, Config, or Security Hub at scale can quickly hit AWS API rate limits, causing workflows to fail mid-execution and leaving Drata with incomplete or inconsistent evidence. Without throttling and retry logic, these failures are difficult to detect and recover from.
How Tray.ai helps
tray.ai supports configurable retry logic, exponential backoff, and rate-limit-aware looping natively within workflows. Teams can set per-step retry policies and add pagination handling for large AWS list operations, so even high-volume evidence collection jobs complete reliably without overwhelming AWS API quotas.
Challenge
Keeping Up as AWS Environments Scale
As AWS accounts grow to include hundreds of resources, multiple regions, and complex multi-account architectures, evidence collection workflows need to dynamically account for new regions, accounts, and resource types without requiring constant manual updates to the integration logic.
How Tray.ai helps
tray.ai workflows can be parameterized to iterate dynamically over AWS account lists, region sets, and resource type filters pulled from configuration stores or AWS Organizations. As your AWS footprint grows, the same workflow logic scales automatically without bespoke modifications for each new account or region.
Templates
Pre-built workflows for Drata and AWS Generic Connector you can deploy in minutes.
Sync AWS IAM Users and Roles to Drata as Access Control Evidence
Drata 
AWS Generic Connector This template runs on a scheduled interval to query AWS IAM for all users, roles, and attached policies, then formats and uploads the results to the corresponding access control evidence section in Drata — eliminating manual IAM review exports.
Push AWS Security Hub Findings to Drata Control Failures
Drata AWS Generic Connector This template monitors AWS Security Hub for new or updated findings and automatically maps them to the relevant Drata controls, marking them as failing and attaching the finding details as evidence — enabling real-time compliance posture updates.
Register New AWS Resources in Drata Automatically
Drata AWS Generic Connector This template listens for new resource creation events in AWS via CloudTrail or EventBridge and automatically creates corresponding asset records in Drata, assigns ownership, and queues the asset for control evaluation.
Collect AWS CloudTrail Evidence and Upload to Drata
Drata AWS Generic Connector This template runs on a nightly schedule to retrieve CloudTrail events related to privileged access, configuration changes, and data access, then summarizes and uploads them to Drata as evidence for change management and audit logging controls.
Sync AWS Inspector Vulnerability Findings to Drata Risk Register
Drata AWS Generic Connector This template monitors AWS Inspector for new vulnerability findings, evaluates their severity, and creates or updates corresponding risk and vulnerability evidence items in Drata — keeping vulnerability management control evidence current without manual effort.
Drata Control Failure to AWS Remediation Enrichment Pipeline
Drata AWS Generic Connector This template detects failing controls in Drata that reference AWS resources, automatically enriches the failure with live AWS resource data, and routes a detailed remediation task to the engineering team — then monitors for resolution and updates Drata accordingly.
How Tray.ai makes this work
Drata + AWS Generic Connector runs on the full Tray.ai platform
Intelligent iPaaS
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