Sold by: Safetybase AI
Deployed on AWS
Preventative AI safety that inspects every prompt, file, image and piece of code before it reaches an LLM. Runs inside your own AWS VPC so your data stays in your account.
Overview
Safetybase AI is preventative AI safety for regulated enterprises. The platform inspects every prompt, file, image and piece of code your AI sees before it reaches an LLM. A catalogue of detection models runs inside your own AWS VPC. Each policy you turn on activates a dedicated model inside your account. Your data never leaves your VPC.
Customers author policies in plain language. The Policy AI Orchestrator picks the right detection model from the Safetybase catalogue and stages it inside your VPC. Coverage includes prompt-injection detection, content-policy enforcement, PII redaction, and image-fraud forensics. Each model is purpose-built for its safety layer and returns a pass, block, or flag decision in milliseconds.
Banks and regulated enterprises use Safetybase to answer the questions their boards are now asking. Which employees are calling which AI models. What data is being shared. Where the policy gaps are. Every call gets a full audit trail.
Governance teams browse intercepted content in a Finder-style UI and investigate patterns in notebook-style sessions. Engineers swap their existing LLM call with a single line of code that routes through Safetybase first.
Highlights
- Your data never leaves your VPC. All detection runs in your own AWS account, with storage in your own S3 and RDS.
- The Policy AI Orchestrator selects the right detection model from the Safetybase catalogue and stages it inside your VPC.
- Purpose-built safety models for prompt injection, content policy, PII redaction, and image fraud. Sub-30ms decisions inside your account.
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
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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
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Content disclaimer
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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 . Response target: 48 hours. For urgent operational issues, contact the email above with subject 'URGENT' and include your AWS account ID, AMI ID, and a short description of the problem.
AWS infrastructure support
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