Tumeryk AI Trust Score™ Red Teaming simulates real-world attacks on LLMs, guardrails, and AI agent - detecting vulnerabilities like jailbreaks, bias, and data leakage. It generates a 9-dimensional AI Trust Score™ to quantify risk and ensure secure, compliant AI deployments.
Tumeryk AI Trust Score™ Red Teaming for LLMs, Guardrails, and AI Agents
Tumeryk delivers automated red teaming capabilities purpose-built for securing Generative AI systems across models, guardrails, and AI agents. Leveraging the open-source and Tumeryk proprietary risk analytic, this solution enables organizations to simulate adversarial attacks, identify vulnerabilities, and continuously assess trustworthiness across their AI stack.
By emulating real-world attack vectors such as jailbreaks, prompt injections, data exfiltration, bias amplification, and hallucinations, Tumeryk provides a 360 degree evaluation of AI systems against evolving threats. The platform generates an AI Trust Score™, a quantifiable risk metric built on a 9-dimensional framework aligned with NIST AI RMF, ISO 42001, and EU AI Act compliance guidelines. These dimensions include:
Prompt Injection
Security Misconfigurations
Sensitive Information Disclosure
Insecure Output Generation
Supply Chain Vulnerabilities
Psychological Safety
Fairness and Bias
Toxicity
Hallucination
With native integration into CI/CD pipelines, Tumeryk empowers development and security teams to shift AI risk testing left - embedding robust security posture checks into the model development lifecycle. The solution also integrates with AWS-native services and third-party AI-SPM tools like Wiz, enhancing visibility into Shadow AI usage and ensuring trustworthy AI operations at scale.
Whether you are deploying foundational models, building AI copilots, or managing complex multi-agent systems, Tumeryk Red Teaming ensures your GenAI investments remain safe, compliant, and resilient.
This a monthly allowance of 5 units (5 million tokens) that you can use. If you consume the five million tokens, you will be charged $20 for each additional unit (1 million tokens).
If you have any questions or want to purchase more units, you can contact us at sales@tumeryk.com
Highlights
Comprehensive Risk Profiling
Uses automated Garak-based red teaming to simulate real-world adversarial attacks across AI models, guardrails, and agent, exposing vulnerabilities such as prompt injection, data leakage, and jailbreaks.
Trust Score Generation
Quantifies risks across 9 critical dimensions, producing an AI Trust Score™ that helps benchmark model resilience and compliance readiness.
CI/CD Integration Ready
Seamlessly integrates into development pipelines, enabling continuous security testing of GenAI systems before deployment or release.
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, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
This listing uses a token-based contract model with two related dimensions. The base dimension, Tumeryk AI Trust Score™ Red Teaming, bills a monthly price and includes 5 units, equal to 5 million tokens. The additional_usage dimension applies once you go past that included allotment. It charges a per-unit rate for each extra unit of tokens you consume. So your cost scales with usage: you pay the flat monthly amount for the first 5 million tokens, then pay the overage rate for anything beyond that threshold.
Top-of-mind questions for buyers
What counts as one unit for billing this red teaming product?
One unit equals 1 million tokens. Tokens measure the volume of text processed during adversarial testing of your models, guardrails, and agents. Your monthly price includes 5 units, or 5 million tokens. Consumption beyond that draws from the additional_usage rate.
What happens when I use more than the 5 million tokens included each month?
Once you pass the 5-unit allotment, the additional_usage dimension applies. Each extra unit of 1 million tokens is billed at the per-unit overage rate. Only the tokens beyond the included 5 million are charged this way; the first 5 million stay under the flat monthly price.
What kind of testing consumes these tokens?
Tokens are used to run automated adversarial test cases against your LLMs and AI agents. Tests cover prompt injection, jailbreaks, data leakage, bias, toxicity, hallucinations, and excessive agency. Higher testing volume across models, releases, or scan frequency uses more tokens and can trigger additional_usage charges.
tumeryk.com
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Tumeryk AI Trust Score™ Guardrails provide real-time security and governance for GenAI agents and applications by enforcing jailbreak detection, bias monitoring, and content moderation. Integrated with tools like Wiz, Tumeryk also discovers Shadow AI and scores its risk, ensuring safe and compliant AI adoption.
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