Sold by: DeepKeep
Deployed on AWS
DeepKeep's Automated AI Red Teaming helps you expose GenAI vulnerabilities across custom AI apps and AI models. It continuously simulates context-aware attacks to uncover security and trust failures such as prompt injection, data leakage, hallucinations and fairness issues, offering remediation steps. It leverages adversarial scenario generation and dynamic multi-turn probing to produce prioritized, reproducible findings with root-cause analysis and concrete fixes. The module supports continuous operation via scheduled tests, CI/CD integration and event-driven re-scans, and lets teams use their own datasets to evaluate real business scenarios.
Overview
DeepKeep's Automated AI Red Teaming helps organizations expose GenAI vulnerabilities across custom AI apps and AI models, through continuous context-aware attack simulation and remediation. It tests both models and custom AI applications to uncover security and trust failures such as prompt injection, data leakage, hallucinations and fairness issues. Findings are prioritized, reproducible and enriched with root-cause analysis and remediation playbooks that guide teams toward concrete fixes. Key capabilities include:
- Adversarial scenario generation to simulate realistic, real-world attack patterns.
- Dynamic multi-turn probing to expose deeper vulnerabilities beyond single-shot testing.
- Trust and quality evaluations to assess reliability and fairness alongside security.
- Root-cause analysis that identifies underlying weaknesses and provides targeted mitigation steps.
- Continuous operation with scheduled tests, CI/CD integration and event-driven re-scans.
- Bring Your Own Dataset to evaluate vulnerabilities against real business scenarios.
By combining these capabilities, DeepKeep enables security, engineering and AI teams to continuously test, harden and validate their GenAI systems, reducing the attack surface and strengthening trust in production AI.
Highlights
- Context-aware red teaming
- Root-cause analysis to pinpoint weaknesses and risks
- Bring your own dataset
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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.
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Dimension | Description | Cost/12 months |
|---|---|---|
License | DeepKeep's license includes a pre-set amount of AI red teaming executions, based on the purchased package. | $1,000,000.00 |
Dimensions summary
This listing uses a single contract-based license. You buy a package that includes a pre-set number of AI red teaming executions. Each execution runs an automated attack simulation against your AI applications, models, or agents. Pricing scales by the volume of executions in the package you select. There are no separate tiers or instance sizes to choose from. You pick the package that matches your expected testing volume, and the license reflects that fixed execution amount.
Top-of-mind questions for buyers
An execution is one automated attack simulation run against your AI applications, models, or agents. Each run tests responses to threats like prompt injection, jailbreaks, data leakage attempts, and unsafe output generation. Tests adapt to your specific scenario. Your package includes a fixed number of these executions.
The license includes a pre-set amount of executions tied to the package you buy. Once you reach that amount, you would need to purchase more capacity. Contact DeepKeep to confirm how additional executions are added, since the pricing data does not detail overage handling.
Yes. Executions can target custom AI applications, models, and agents. Tests run contextually, adapting to your actual systems rather than generic cases. Results tie each finding to a security or trust failure with remediation guidance. The execution count is drawn from the same package regardless of system type tested.
www.deepkeep.ai
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