Drata + AWS Generic Connector
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.
Why integrate Drata and AWS Generic Connector?
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.
Automate & integrate Drata & AWS Generic Connector
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.
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.
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.
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.
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.
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.
Use case
Automated Remediation Ticket Creation from Drata Failures
When Drata identifies a failing control tied to an AWS resource, the engineering team needs an actionable task to fix it. tray.ai can watch for control failures in Drata, automatically query the affected AWS resource for context, and route a detailed remediation ticket — including resource ARN, failure reason, and remediation guidance — to the engineering workflow tool of choice, then update Drata once remediation is confirmed.
Get started with Drata & AWS Generic Connector integration today
Drata & AWS Generic Connector Challenges
What challenges are there when working with Drata & AWS Generic Connector and how will using Tray.ai help?
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 Can Help:
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 Can Help:
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 Can Help:
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.
Challenge
Staying Current Without Over-Polling
Compliance teams want Drata to reflect the current state of AWS at all times, but polling AWS APIs continuously at high frequency is expensive, rate-limited, and operationally noisy. Building an event-driven architecture that's both timely and efficient requires careful design — and most teams don't have the tooling to pull it off.
How Tray.ai Can Help:
tray.ai supports event-driven workflow triggers via webhooks, so integrations with AWS EventBridge can push events to tray.ai the moment a resource changes — no polling required. For cases where event-driven triggers aren't available, tray.ai's scheduler supports high-frequency runs with efficient pagination to minimize unnecessary API calls.
Challenge
Securing Credentials and Maintaining Least-Privilege Access
Connecting Drata and AWS requires managing sensitive AWS credentials and Drata API tokens securely. Hardcoding credentials in integration scripts or using overly permissive IAM roles creates real security risk — ironically undermining the compliance posture the integration is meant to support.
How Tray.ai Can Help:
tray.ai stores all credentials in an encrypted secrets-management layer and never exposes them in workflow configurations or logs. Teams can configure dedicated IAM roles with least-privilege policies scoped specifically to the API calls each workflow requires, and tray.ai's audit log provides a full record of all connector authentications and API calls made during workflow execution.
Start using our pre-built Drata & AWS Generic Connector templates today
Start from scratch or use one of our pre-built Drata & AWS Generic Connector templates to quickly solve your most common use cases.
Drata & AWS Generic Connector Templates
Find pre-built Drata & AWS Generic Connector solutions for common use cases
Template
Sync AWS IAM Users and Roles to Drata as Access Control Evidence
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.
Steps:
- Trigger on a weekly or monthly schedule via tray.ai scheduler
- Call AWS IAM API to list all users, roles, groups, and attached permission policies
- Transform and format IAM data to match Drata's evidence upload schema
- Upload formatted evidence to the appropriate Drata controls via Drata API
- Send a confirmation notification to the compliance team Slack channel
Connectors Used: Drata, AWS Generic Connector
Template
Push AWS Security Hub Findings to Drata Control Failures
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.
Steps:
- Trigger via AWS EventBridge webhook when a new Security Hub finding is created or updated
- Parse finding severity, resource type, and compliance standard from the Security Hub payload
- Query Drata API to identify the matching control for the finding type
- Update the Drata control status to failing and attach the finding details as evidence
- Notify the responsible asset owner via email or Slack with remediation context
Connectors Used: Drata, AWS Generic Connector
Template
Register New AWS Resources in Drata Automatically
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.
Steps:
- Receive a webhook event from AWS EventBridge when a new resource is created (EC2, S3, RDS, Lambda)
- Extract resource metadata including ARN, region, resource type, and tags
- Create a new asset record in Drata using the extracted metadata
- Assign the asset to the appropriate owner based on tagging conventions or team mappings
- Trigger Drata control checks for the newly registered asset
Connectors Used: Drata, AWS Generic Connector
Template
Collect AWS CloudTrail Evidence and Upload to Drata
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.
Steps:
- Trigger on a nightly schedule via tray.ai scheduler
- Query AWS CloudTrail Lookup Events API for compliance-relevant event types in the past 24 hours
- Filter events by category: privileged access, resource modification, data access
- Summarize filtered events into a structured evidence document
- Upload the evidence document to the corresponding Drata controls via Drata API
Connectors Used: Drata, AWS Generic Connector
Template
Sync AWS Inspector Vulnerability Findings to Drata Risk Register
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.
Steps:
- Trigger via AWS EventBridge when AWS Inspector generates a new finding
- Parse finding details including CVE ID, severity score, affected resource, and remediation guidance
- Evaluate severity against compliance thresholds defined in tray.ai workflow logic
- Create or update a vulnerability record in Drata with the finding details
- Flag critical or high severity findings for immediate compliance owner review in Drata
Connectors Used: Drata, AWS Generic Connector
Template
Drata Control Failure to AWS Remediation Enrichment Pipeline
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.
Steps:
- Poll Drata API periodically for controls with a failing status linked to AWS assets
- Extract the AWS resource identifier from the Drata control or asset record
- Query the AWS API for current configuration details of the affected resource
- Create a remediation ticket enriched with the resource ARN, current configuration, and failure reason
- Monitor for remediation confirmation and update the Drata control status to passing once resolved
Connectors Used: Drata, AWS Generic Connector