developmentContext + Amazon Web Services
Transform AWS cloud infrastructure knowledge into a searchable enterprise knowledge graph for operational governance
OVERVIEW
Amazon Web Services is the cloud platform where engineering teams build and operate critical infrastructure -- through IAM policies that define security boundaries, CloudFormation and Terraform templates that encode infrastructure as code, service configurations that control application behavior, and CloudTrail logs that record every operational action. Over time, AWS accounts accumulate vast institutional knowledge: why specific IAM policies were crafted with particular permission boundaries, how VPC architectures evolved to meet compliance requirements, which service quotas were adjusted after capacity incidents, and how cross-account access patterns support organizational security models. But this knowledge is scattered across the AWS console, Infrastructure as Code repositories, and internal documentation, disconnected from the Jira tickets that authorized infrastructure changes, the Confluence architecture documents that should reflect current state, and the Slack discussions where engineers debated design trade-offs.
Context connects to your AWS accounts and indexes the organizational knowledge embedded in IAM policies, resource configurations, CloudFormation stack definitions, service metadata, and tagging structures. Using permission-aware indexing that respects AWS IAM and Organizations-level access controls, Context builds a knowledge graph that maps relationships between AWS resources, accounts, teams, and the broader context from your entire tool stack.
Unlike cloud-based search tools that require infrastructure configuration data to be processed on external platforms, Context deploys entirely on your infrastructure -- on-premise, in your VPC, or in air-gapped AWS GovCloud environments. Your IAM policies, network configurations, and resource metadata never leave your control. For defense contractors operating in AWS GovCloud, aerospace companies managing mission-critical workloads, and financial institutions running regulated infrastructure, AWS configurations reveal the complete security architecture and operational topology of critical systems. Context ensures this intelligence remains within your security boundary while making it searchable and actionable. Every answer is backed by citations to specific AWS resources, policies, or configurations, maintaining full traceability.
KEY CAPABILITIES
Key Capabilities
- 01Permission-aware indexing of AWS IAM policies, resource configurations, CloudFormation stacks, and service metadata that respects account and organizational access boundaries
- 02IAM policy analysis that makes permission boundaries, role trust relationships, and access patterns searchable across accounts and organizational units
- 03Infrastructure-as-code knowledge extraction from CloudFormation templates and Terraform state, capturing the intent behind resource definitions and parameter choices
- 04Cross-account relationship mapping that builds a searchable graph of resource dependencies, VPC peering, cross-account roles, and shared service architectures
- 05Tagging and cost allocation knowledge indexing that connects AWS resource tags to the teams, projects, and business units they represent across your organizational context
- 06Security configuration analysis that indexes Security Groups, NACLs, S3 bucket policies, and KMS key configurations to make security posture searchable and auditable
USE CASES
Use Cases
Security Posture Assessment and IAM Governance
Security teams need to understand the full scope of IAM permissions across an AWS Organization -- which roles have overly broad permissions, how cross-account access is configured, and whether policies align with least-privilege principles. Context indexes all IAM policies, role trust relationships, and permission boundaries, enabling queries like "which roles can assume cross-account access to the production account?" or "what S3 buckets are accessible from outside the VPC?" Answers reference specific IAM policies, the accounts they belong to, the Jira security tickets tracking remediation, and the Confluence compliance frameworks that define organizational standards.
Infrastructure Change Impact Analysis
Before modifying shared infrastructure -- a VPC, a transit gateway, or a KMS key -- teams need to understand who and what will be affected. Context maps cross-service and cross-account dependencies into a knowledge graph, enabling queries like "which applications use the shared RDS cluster in us-east-1?" or "what services depend on the central logging S3 bucket?" Results link to specific CloudFormation stacks, the teams that own them, the GitHub repositories containing IaC definitions, and the Jira tickets authorizing infrastructure changes.
Compliance Documentation and Audit Preparation
Regulated organizations must demonstrate that AWS configurations meet specific compliance frameworks like FedRAMP, CMMC, SOC 2, or HIPAA. Context connects AWS resource configurations to the Confluence compliance documentation, Jira audit tickets, and organizational policies that govern them, enabling auditors and compliance teams to quickly verify that encryption settings, access controls, logging configurations, and network boundaries match documented requirements.
Cloud Architecture Knowledge Transfer
When engineers move between teams or new team members join, understanding the AWS architecture of their services can take weeks. Context enables natural language queries like "how is the payment service deployed in AWS?" and returns citation-backed answers linking CloudFormation stack definitions, IAM role configurations, VPC subnet assignments, and security group rules to the Confluence architecture documents and Jira epics that explain the design rationale.
HOW IT WORKS
How It Works
DATA FLOW
SECURITY & COMPLIANCE
Security & Compliance
SOC 2 Type II
GDPR
HIPAA
ISO 27001DEPLOYMENT
Deployment Options
DEPLOYMENT ARCHITECTURE
FREQUENTLY ASKED QUESTIONS
Frequently Asked Questions
How does Context connect to AWS?
Context integrates with AWS using a dedicated IAM role with read-only permissions, connecting through AWS APIs via STS assume-role. It supports standard AWS commercial regions, GovCloud regions, and AWS China regions. The connection is strictly read-only -- Context never creates, modifies, or deletes AWS resources. All indexing and processing happens on your infrastructure, whether deployed on-premise, in your VPC, or in an air-gapped GovCloud environment.
Does Context access the contents of S3 buckets or databases?
Context indexes S3 bucket metadata -- names, policies, encryption settings, lifecycle rules, and tags -- but does not access or index the data stored within buckets. Similarly, it indexes RDS and DynamoDB configuration metadata but not database contents. This approach makes infrastructure configuration knowledge searchable without exposing sensitive application data, while maintaining compliance with data classification requirements.
Can Context work with AWS GovCloud and classified environments?
Yes. Context deploys entirely on your infrastructure and fully supports AWS GovCloud regions. For organizations operating under ITAR, FedRAMP High, CMMC, or IL-4/IL-5 requirements, Context ensures that indexed AWS knowledge artifacts never leave your controlled environment. The on-premise deployment model is designed for defense contractors and government agencies managing classified and CUI workloads in GovCloud or air-gapped environments.
How does Context handle multi-account AWS Organizations?
Context supports indexing across multiple AWS accounts within an Organization using cross-account IAM role assumption. Users only see search results from accounts and resources they have IAM permissions to access. This is critical for organizations using account-per-environment, account-per-team, or account-per-classification-level patterns common in defense and regulated industries.
Does Context index Infrastructure as Code definitions?
Yes. When connected to both AWS accounts and source repositories containing CloudFormation templates or Terraform configurations, Context correlates live AWS resource state with the IaC definitions that created them. This enables queries that trace current configurations back to the code changes, pull requests, and Jira tickets that drove infrastructure modifications, providing a complete audit trail of infrastructure evolution.
SETUP OVERVIEW
Setup Overview
Connecting AWS to Context requires IAM administrator access and typically takes around 30 minutes. The process involves creating a dedicated IAM role with read-only permissions using AWS-managed policies, configuring cross-account access if indexing multiple accounts, and mapping AWS IAM roles to Context access controls. Context handles the rest -- indexing begins automatically and the knowledge graph starts building within minutes. No changes to your AWS account configurations or operational workflows are required.
RELATED INTEGRATIONS
Related Integrations
Kubernetes
Connect Context to Kubernetes to extract operational knowledge from cluster configurations, workload definitions, and deployment manifests. On-premise deployment with permission-aware indexing.
Datadog
Connect Context to Datadog to extract operational knowledge from monitors, dashboards, and incident investigations. On-premise deployment with permission-aware indexing.
GitHub
Connect GitHub to Context and transform code reviews, issues, and pull requests into searchable enterprise knowledge. Works with GitHub Enterprise Cloud and GitHub Enterprise Server.
Okta
Connect Context to Okta to surface identity governance knowledge from user directories, access policies, and authentication events. On-premise deployment with permission-aware indexing.
Splunk
Connect Context to Splunk to surface security intelligence and operational insights from log data, security events, and analytics dashboards. On-premise deployment with permission-aware indexing.
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