Sold by: PointGuard AI
PointGuard AI's integration with AWS AI (Bedrock, SageMaker) significantly enhances the security and governance of AI applications built on AWS AI (Bedrock, SageMaker). PointGuard AI's solutions provide guardrails and policy enforcement across the entire AI lifecycle, from data ingestion to model deployment. By combining AWS AI's powerful data processing capabilities with PointGuard AI's robust security measures, organizations can accelerate their AI initiatives while maintaining a strong security posture, ensuring that sensitive data and AI models are protected from evolving threats.
Overview
PointGuard AI for AWS AI (Bedrock, SageMaker) offers the following capabilities:
- Discover AI projects, foundation/ custom models, agents, data sources, and notebooks in use
- Evaluate the security of AI models via automated testing, red teaming, and runtime detection scans to find dangerous/ inappropriate content and bias in prompts and responses
- Establish AI governance by creating and managing inventories of AI resources, and setting compliance guardrails
- Ensure AI security posture management, detecting misconfigurations and access control issues
- Robust AI application security and runtime detection to detect bias and dangerous or inappropriate content in prompts and responses
- Protect applications connected through API calls to AI systems
- Manage and remediate all security issues through PointGuard AI's robust application security platform
Highlights
- Enhances the security and governance of AI applications built on AWS AI (Bedrock, SageMaker)
- Comprehensive solution includes AI Discovery, Model Testing & Red-teaming, AI Security Posture Management, and AI Runtime Defense
- Risk-based Dashboard & Compliance Reporting for AWS AI
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Pricing
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.
Dimension | Description | Cost/12 months |
|---|---|---|
AI Discovery - for AWS Bedrock & SageMaker | AI Discovery & Security Posture | $12,000.00 |
AI Security Testing - for AWS Bedrock & SageMaker | AI Security Testing & Red-teaming | $12,000.00 |
AI Runtime Defense - for AWS Bedrock & SageMaker | AI Runtime Defense - Per User | $120.00 |
Dimensions summary
This listing offers three independent modules you can buy separately for your Bedrock and SageMaker environments. AI Discovery covers asset inventory and security posture, priced by units. AI Security Testing covers model scanning and red-teaming, also priced by units. AI Runtime Defense protects live prompts and responses, priced per user. Each dimension addresses a different stage of AI security, so you select the modules that match your needs. Pricing scales with the unit count or user count you choose, rather than through fixed tiers.
Top-of-mind questions for buyers
The pricing table meters these modules by units rather than user seats. A unit maps to the AI assets and activity the module handles, such as models, notebooks, datasets, agents, and endpoints being discovered or scanned. Your unit count grows with the number of AI resources under management. Contact the vendor for exact counting rules.
AI Runtime Defense bills per user, so cost scales with the number of people whose live AI prompts and responses you monitor. The Discovery and Security Testing modules bill by units tied to AI assets and scanning activity. Runtime cost tracks headcount; the other two track your AI resource footprint.
The three modules bill independently. AI Discovery and AI Security Testing each charge by unit count, while AI Runtime Defense charges per user. You can buy any module on its own. When combined, each charge appears separately and adds together, driven by your unit counts and user count.
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