As organizations expand their adoption of data pipelines & AI/ML technologies, they face new security and compliance risks. That is where Noma Security comes in, enabling application security teams with holistic visibility, risk detection, and threat prevention across the data & AI lifecycle. Reach out to learn more - info@noma.security
Highlights
Get complete visibility and security throughout the data & AI lifecycle.
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.
You pay based on actual usage across four independent metrics, not a fixed subscription. Two dimensions charge by millions of tokens scanned, split by deployment type: one for hybrid deployment and one for SaaS deployment. A third dimension charges by the number of assets scanned, which covers discovery across your AI environment. A fourth dimension charges by the number of Red teaming tests run against your AI applications and agents. Each metric bills separately, so your total scales with how much scanning, how many assets, and how many tests you use.
Top-of-mind questions for buyers
What counts as one asset scanned for billing?
An asset is any AI resource discovered in your environment, including models, agents, data pipelines, MCP servers, and AI-powered tools. Posture scanning catalogs each resource with its owner, permissions, and connected tools. Each discovered resource counts separately toward the assets scanned total.
What is the difference between the hybrid and SaaS token-scanning dimensions?
Both meter by millions of tokens scanned during AI interaction analysis. The SaaS deployment runs the scanning service in the vendor's hosted environment. The hybrid deployment keeps scanning within your own environment, so models, data, and security events stay local. You pick the metric that matches your deployment.
Which metric drives most of my bill?
The four metrics bill independently and add together on one invoice. Token-scanning charges usually dominate for production AI applications with heavy real-time traffic. Asset-scanning cost grows with the size of your AI inventory. Red teaming test charges depend on how many tests you run against your applications.
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