Use Case
AI Red Teaming
Effectively test your AI systems against threats with automated adversarial attacks mapped to MITRE ATLAS and ATT&CK.
Challenge
AI workloads in the cloud face targeted risks like model manipulation, data poisoning, LLMJacking, and unauthorized access. Traditional security tools struggle to address these 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.
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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, LLMJacking, and unauthorized access. Traditional security tools struggle to address these 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.
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