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    AgentGuardian Enterprise AI Agent Governance

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    Deployed on AWS
    AI agents can access sensitive data, invoke tools and execute business actions, creating new security, compliance and cost risks. AgentGuardian gives organisations one governance and control layer for managing these agents from registration and risk classification to runtime enforcement and audit. It enables teams to identify every agent and owner, control access to data and tools, block or route high risk actions for approval, test security controls, track costs and preserve audit evidence. Unlike monitoring only products, AgentGuardian applies enforceable controls before and during agent execution. Customers deploy the AgentGuardian container within their own AWS environment, retaining control of their infrastructure, security configuration and connected data.

    Overview

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    Product Overview

    AgentGuardian is an enterprise AI governance platform that helps organisations discover, govern, secure and monitor AI agents across their environments.

    As AI agents increasingly access sensitive data, interact with enterprise applications and execute business actions, organisations need centralised visibility, security controls and accountability.

    AgentGuardian provides a unified governance layer across the AI agent lifecycle, enabling enterprises to manage agent ownership, assess risks, enforce runtime policies, control sensitive actions, monitor costs and maintain auditable evidence.

    Key Capabilities

    1. Agent Discovery & Governance

    Maintain a centralised inventory of AI agents, including ownership, business purpose, permissions and risk classification.

    2.Risk Assessment & Compliance

    Assess agent risks based on autonomy, data sensitivity, access privileges and business impact.

    3.Runtime Policy Enforcement

    Evaluate agent requests, tool calls and actions against defined security and governance policies. Allow, block or require approval for governed actions.

    4.Human-in-the-Loop Approvals

    Introduce human approval workflows for sensitive or high-risk actions before execution.

    1. AI Security Testing

    Evaluate AI agents against security, safety and governance scenarios to identify potential vulnerabilities and policy violations.

    1. Monitoring & Cost Visibility

    Monitor supported agent activities, track AI usage and attribute associated costs to agents and teams.

    1. Audit & Evidence Management

    Maintain traceable records of agent activities, policy decisions, approvals and governance changes for security reviews and audits.

    Why AgentGuardian?

    Unlike monitoring-only solutions that primarily observe AI agent activity, AgentGuardian provides enforceable governance controls before and during agent execution.

    This helps organisations adopt and scale Agentic AI with stronger security, operational accountability, cost visibility and governance.

    Deployment & Integration

    AgentGuardian is delivered as a containerised application deployed within the customer's AWS environment, allowing customers to retain control over their infrastructure, security configurations and connected data.

    It integrates with supported Amazon Bedrock applications, custom AI agents and compatible external agent frameworks through APIs and supported integration methods. Available governance controls depend on the integration.

    AgentGuardian Discover. Assess. Govern. Enforce. Monitor. Audit.

    Highlights

    • Scale AI adoption without losing control: Maintain one governed inventory of AI agents, owners, access, risk and activity across teams and environments
    • Prevent high-risk actions before execution: Enforce runtime policies, restrict access to sensitive data and tools, and require human approval for material actions.
    • Demonstrate compliance and control AI costs: Preserve evidence of agent activity, policy decisions and approvals while attributing consumption to accountable teams.

    Details

    Delivery method

    Supported services

    Delivery option
    AgentGuardian on Amazon ECS Fargate

    Latest version

    Operating system
    Linux

    Deployed on AWS
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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    AgentGuardian Enterprise AI Agent Governance

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (4)

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    Dimension
    Description
    Cost/12 months
    test
    test
    $1.00
    Starter License
    AgentGuardian Starter annual software license
    $12,000.00
    Business License
    AgentGuardian Business annual software license
    $30,000.00
    Enterprise License
    AgentGuardian Enterprise annual software license
    $75,000.00

    Vendor refund policy

    Glacien Pte. Ltd. offers refunds in accordance with AWS Marketplace policies. Eligible cancellations within 48 hours of purchase qualify for a full refund. After 48 hours, annual subscription and licence fees are non-refundable, except where required by law or expressly agreed in writing by Glacien. Refunds for billing errors or exceptional circumstances may be reviewed case by case. To request a refund, contact pt@glacien.ai  with your AWS account ID and purchase details.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    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.

    Usage information

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    Delivery details

    AgentGuardian on Amazon ECS Fargate

    Supported services: Learn more 
    • Amazon ECS
    Container image

    Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.

    Version release notes

    Initial AWS Marketplace release of AgentGuardian Enterprise AI Agent Governance. Deploys the API, web console and collector in your AWS account using CloudFormation and Amazon ECS Fargate, with Cognito authentication, protected ingestion, database password rotation support and updated container dependencies. Release source: bfe1ffbf.

    Additional details

    Usage instructions

    1. Subscribe to AgentGuardian in AWS Marketplace using the AWS account where you will deploy it. AWS infrastructure charges are additional to any Marketplace software charges.
    2. Prepare a VPC with private and public subnets in at least two Availability Zones. Private tasks require outbound access to AWS services and the Marketplace ECR registry. Prepare a private S3 bucket for Bedrock invocation logs and a tenant UUID.
    3. Deploy the companion single-tenant-auth.yaml CloudFormation template with the same tenant UUID and administrator email. Run its SetAdminPasswordCommand output, then record UserPoolId and UserPoolClientId.
    4. Launch the AgentGuardian CloudFormation deployment template below. Supply VpcId, PrivateSubnetIds, PublicSubnetIds, SingleTenantId, BedrockLogBucketName, CognitoUserPoolId and CognitoClientId. Keep the default 1.0.0 image URIs. Leave DatabaseUrl empty to create Aurora. Acknowledge CAPABILITY_IAM.
    5. For an AWS-provided HTTPS address, leave DomainName and CertificateArn empty. For your own domain, provide both and configure DNS using the load balancer outputs.
    6. Wait for CREATE_COMPLETE; database migrations and tenant bootstrap run automatically. Open the ConsoleUrl stack output and sign in with the administrator account.
    7. Configure Amazon Bedrock model invocation logging to the private S3 log bucket. Preserve any existing CloudWatch logging configuration when updating it. Grant Bedrock permission to write its invocation logs. Make a Bedrock call and check the AgentGuardian cost view after the collector processes the logs.
    8. Check /readyz for database readiness. Use the stack CloudWatch log group and ECS service events for diagnostics. Configure CUR parameters only if billed-spend reconciliation is required. Keep SeedShowcaseData disabled for production.

    Resources

    Vendor resources

    Support

    Vendor support

    Support information AgentGuardian includes support for its container software, deployment documentation, installation, configuration, supported integrations, APIs, updates and troubleshooting. Support channels Email: support@glacien.ai  Support URL: https://glacien.ai  Hours: Monday to Friday, 9:00 a.m. 6:00 p.m. Singapore Time, excluding Singapore public holidays. Initial response targets Priority 1 Urgent: AgentGuardian is unavailable to all users after a working deployment, a significant product security issue is identified, or governance records may be at risk. Initial response within 4 business hours. Priority 2 High: A major product capability is unavailable or materially impaired with no reasonable workaround. Initial response within 1 business day. Priority 3 Standard: A limited impact issue, deployment or configuration question, documentation request or general enquiry. Initial response within 2 business days. Response targets indicate when Glacien will acknowledge and begin investigating a request; they are not resolution commitments. Status updates are provided for active Priority 1 and Priority 2 issues. During onboarding, customers receive the approved container image, deployment documentation, integration guidance and support procedures. Glacien provides reasonable assistance with installation and validation in the supported AWS environment. Support covers the AgentGuardian container image, product functionality, supported APIs and integrations, product defects, security issues, upgrades and documentation. Customers are responsible for their AWS account and underlying infrastructure, including container orchestration, compute, networking, storage, identity, monitoring, backups and external connectivity. AWS service support is provided under the customer AWS Support plan.

    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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