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GCP Vertex AI Publisher Model Config Modified
Oct 7, 2026 · Domain: GenAI Domain: Cloud Data Source: GCP Vertex AI Data Source: GCP Data Source: Google Cloud Platform Platform: GCP Service: GCP Vertex AI Use Case: Threat Detection Tactic: Defense Evasion Threat: Unauthorized AI Usage Mitre Atlas: AML.T0015 Resources: Investigation Guide Rule Type: ES|QL ·Detects changes to Vertex AI publisher model configuration via SetPublisherModelConfig (for example enabling or retargeting prompt/response BigQuery logging). Unexpected config changes can disable security-relevant logging or redirect logs.
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GCP Vertex AI Safety Filters Set to BLOCK_NONE
Oct 7, 2026 · Domain: GenAI Domain: Cloud Data Source: GCP Vertex AI Data Source: GCP Data Source: Google Cloud Platform Platform: GCP Service: GCP Vertex AI Use Case: Threat Detection Tactic: Defense Evasion Threat: Unauthorized AI Usage Mitre Atlas: AML.T0015 Resources: Investigation Guide Rule Type: ES|QL ·Detects Vertex AI GenerateContent requests that set safety_settings.threshold to BLOCK_NONE. That threshold disables category blocking for the listed harm categories when clients explicitly send safetySettings. Attackers and careless apps use BLOCK_NONE to weaken built-in Gemini filters.
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AWS Bedrock Detected Multiple Attempts to use Denied Models by a Single User
Oct 1, 2026 · Domain: GenAI Data Source: AWS Bedrock Data Source: AWS S3 Resources: Investigation Guide Use Case: Policy Violation Noise: Low Performance: Fast Profile: Recommended Threat: Unauthorized AI Usage Rule Type: ES|QL Platform: AWS Domain: Cloud Service: AWS S3 Service: AWS Bedrock Mitre Atlas: AML.T0015 Mitre Atlas: AML.T0034 ·Identifies multiple successive failed attempts to use denied model resources within AWS Bedrock. This could indicated attempts to bypass limitations of other approved models, or to force an impact on the environment by incurring exhorbitant costs.
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AWS Bedrock Detected Multiple Validation Exception Errors by a Single User
Oct 1, 2026 · Domain: GenAI Data Source: AWS Data Source: AWS Bedrock Data Source: AWS S3 Use Case: Policy Violation Resources: Investigation Guide Noise: Low Performance: Fast Profile: Recommended Threat: Unauthorized AI Usage Rule Type: ES|QL Platform: AWS Domain: Cloud Service: AWS S3 Service: AWS Bedrock Mitre Atlas: AML.T0015 Mitre Atlas: AML.T0034 Mitre Atlas: AML.T0046 ·Identifies multiple validation exeception errors within AWS Bedrock. Validation errors occur when you run the InvokeModel or InvokeModelWithResponseStream APIs on a foundation model that uses an incorrect inference parameter or corresponding value. These errors also occur when you use an inference parameter for one model with a model that doesn't have the same API parameter. This could indicate attempts to bypass limitations of other approved models, or to force an impact on the environment by incurring exhorbitant costs.
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