Sold by: Edge Attention
Deployed on AWS
AI governance that inspects every input to your AI - prompts, files, images, code - before it reaches any LLM. Deployed in your AWS VPC so your data stays yours.
Overview
Enterprise Governance AI intercepts, analyzes, and enforces policy on every resource flowing into your AI - prompts, responses, files, images, documents, code - before it reaches any LLM. Unlike SaaS governance tools, Enterprise Governance AI deploys into your own AWS VPC: no data leaves your account, no third-party sees your inputs or outputs.
Governance, risk, and compliance teams at banks and regulated enterprises use it to answer the questions their boards are now asking: which employees are calling which AI models, what data is being shared, where are the policy gaps?
Engineers replace openai.chat.create(...) with interceptor.call(...). The call hits Enterprise Governance AI in your VPC first - three safety layers (prompt-injection detection, content-policy enforcement, image analysis) return pass/block/flag decisions in under 30ms. Every call is logged with a full audit trail. Governance teams use a Finder-style UI to browse intercepted content, write custom policies in a no-code editor, and investigate patterns in notebook-style sessions.
Highlights
- Your data never leaves your VPC: all interception runs in your own AWS account with storage in your S3 and RDS.
- Three safety layers at ~30ms: prompt-injection, content-policy, image-analysis; deploys in 12 min via CloudFormation.
- No-code policy editor plus notebook investigation UI so governance teams operate it without touching Python.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
This software is offered free under Bring Your Own License. No refunds are applicable as no software charge is collected through AWS Marketplace.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Initial release of Enterprise Governance AI. Ubuntu 22.04 base, EGAI backend served by nginx on port 80, API proxied at /v1/ and /api/, UI at root. Deployed via CloudFormation.
Additional details
Usage instructions
After stack creation, navigate to the DashboardUrl output from the CloudFormation stack. The EGAI UI loads at root. API routes are available under /v1/ and /api/.
Support
Vendor support
Email: seanjudelyons@gmail.com . Support URL: https://edgeattention.com/enterprise-governance-ai . Response target: 48 hours. For urgent operational issues open a contact-form request at edgeattention.com.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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