PointGuard AI, a Validated Technology Partner of Databricks, significantly enhances the security and governance of AI projects on the Databricks platform. PointGuard AI's solutions provide guardrails and policy enforcement across the entire AI lifecycle, from data ingestion to model deployment. By combining Databricks' 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.
Databricks offers a market leading AI development platform that accelerates AI development by integrating scalable data processing, collaborative tools, and pre-built machine learning models. By using PointGuard AI's deep integration with Databricks, data science and security operations teams can:
Discover AI projects, models, datasets, 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
Protect applications that are connected to AI systems via API calls
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 Databricks
Comprehensive solution includes AI Discovery, Model Testing & Red-teaming, AI Security Posture Management, and AI Runtime Defense
PointGuard AI is a Databricks AI Partner, providing full coverage for the Databricks AI Security Framework (DASF)
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.
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.
You buy three separate modules under a contract, each priced in units. AI Discovery covers inventory and security posture across your AI models, datasets, and pipelines. AI Security Testing covers automated scanning and red-teaming against threats like prompt injection and model poisoning. AI Runtime Defense monitors prompts and responses in production and is priced per user. These modules address different stages of the AI lifecycle. You can select the ones you need rather than buying a single bundle. Runtime Defense scales with the number of users; the other two scale by unit quantity.
Top-of-mind questions for buyers
What does the AI Runtime Defense per-user charge cover for each user?
Each user is a person whose prompts and responses to the AI system are monitored in production. Runtime Defense watches inputs and outputs in real time. It detects data leaks, prompt injection, and misuse, and enforces policy inline. You pay for each user under this monitoring.
How do the three modules combine on my bill, and which one drives cost?
The three modules bill independently. AI Discovery and AI Security Testing scale by unit quantity. AI Runtime Defense scales by user count. Your cost depends on which modules you select. Runtime Defense cost grows as production users grow. The other two grow with the units you buy.
Can I buy just one module, or do I need all three?
You can select any module on its own. Each covers a different stage of the AI lifecycle. AI Discovery handles inventory and posture. AI Security Testing runs scanning and red-teaming. AI Runtime Defense monitors production traffic. Buy only the modules that fit your needs.
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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.
PointGuard AI significantly expands the capabilities of AWS Security Hub to manage security posture and reduce risk across AWS services and third-party tools. The PointGuard AI platform provides clear visibility through flexible drill-down dashboards, reduces noise by over 95%, and precisely prioritizes findings with contextual risk-based scoring. The platform consolidates findings from Security Hub for any supported Amazon services, as well as hundreds of third-party security tools, and automates their remediation.
Protect your organization with comprehensive AI and data safety measures. Our service focuses on securing AI systems and sensitive data while ensuring compliance with the highest industry standards.
The PointGuard AI platform analyzes security signals from siloed tools, reduces vulnerability noise by 95% via AI/ML and context-based risk scoring, prioritizes the findings, and automates their remediation.
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