Use Case
AI Red Teaming
Lorem ipsum dolor sit amet consectetur. Convallis quis ac convallis odio. Nisl sit nulla cursus nunc faucibus mi at donec cras. Porttitor lobortis augue posuere.
Challenge
AI workloads in the cloud face targeted risks like model manipulation, data poisoning, and unauthorized access to AI pipelines. Traditional tools struggle to simulate intelligent AI-specific threats.


How Mitigant Helps
Mitigant provides a suite of adversarial attacks, currently focused on Amazon Bedrock. These attacks test several Bedrock components, including Knowledge Base, RAG, access control, and logging. All attacks are mapped to the MITRE ATT&CK and MITRE ATLAS.
Read More
Customer Outcomes
Organizations using Amazon Bedrock can easily validate the effectiveness of the security and safety measures. Without the need for deep expertise, security teams can conduct AI Red Teaming against Amazon Bedrock.


Challenge
AI workloads in the cloud face targeted risks like model manipulation, data poisoning, and unauthorized access to AI pipelines. Traditional tools struggle to simulate intelligent AI-specific threats.

How Mitigant Helps
Mitigant provides a suite of adversarial attacks, currently focused on Amazon Bedrock. These attacks test several Bedrock components, including Knowledge Base, RAG, access control, and logging. All attacks are mapped to the MITRE ATT&CK and MITRE ATLAS.
Read More

Customer Outcomes
Organizations using Amazon Bedrock can easily validate the effectiveness of the security and safety measures. Without the need for deep expertise, security teams can conduct AI Red Teaming against Amazon Bedrock.
Join The Cloud Security Revolution Today!
Take control of your cloud security in minutes. No credit card required.