review comments

Author: shashank-elastic

rules/integrations/aws_bedrock/aws_bedrock_guardrails_multiple_violations_by_single_user.toml

@@ -44,7 +44,7 @@ and they can establish thresholds for harmful content categories, including hate
 - Investigate other alerts associated with the user account during the past 48 hours.
 - Consider the time of day. If the user is a human (not a program or script), did the activity take place during a normal time of day?
 - Examine the account's prompts and responses in the last 24 hours.
-- If you suspect the account has been compromised, scope potentially compromised assets by tracking Aamzon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
+- If you suspect the account has been compromised, scope potentially compromised assets by tracking Amazon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
 
 ### False positive analysis
 

rules/integrations/aws_bedrock/aws_bedrock_guardrails_multiple_violations_in_single_request.toml

@@ -44,7 +44,7 @@ and they can establish thresholds for harmful content categories, including hate
 - Investigate other alerts associated with the user account during the past 48 hours.
 - Consider the time of day. If the user is a human (not a program or script), did the activity take place during a normal time of day?
 - Examine the account's prompts and responses in the last 24 hours.
-- If you suspect the account has been compromised, scope potentially compromised assets by tracking Aamzon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
+- If you suspect the account has been compromised, scope potentially compromised assets by tracking Amazon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
 
 ### False positive analysis
 

rules/integrations/aws_bedrock/aws_bedrock_high_confidence_misconduct_blocks_detected.toml

@@ -42,7 +42,7 @@ and they can establish thresholds for harmful content categories, including hate
 - Investigate other alerts associated with the user account during the past 48 hours.
 - Consider the time of day. If the user is a human (not a program or script), did the activity take place during a normal time of day?
 - Examine the account's prompts and responses in the last 24 hours.
-- If you suspect the account has been compromised, scope potentially compromised assets by tracking Aamzon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
+- If you suspect the account has been compromised, scope potentially compromised assets by tracking Amazon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
 
 ### False positive analysis
 

rules/integrations/aws_bedrock/aws_bedrock_high_resource_consumption_detection.toml

@@ -40,7 +40,7 @@ Bedrock offers a variety of pretrained models from Amazon (such as the Titan ser
 - Investigate other alerts associated with the user account during the past 48 hours.
 - Consider the time of day. If the user is a human (not a program or script), did the activity take place during a normal time of day?
 - Examine the account's prompts and responses in the last 24 hours.
-- If you suspect the account has been compromised, scope potentially compromised assets by tracking Aamzon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
+- If you suspect the account has been compromised, scope potentially compromised assets by tracking Amazon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
 
 ### False positive analysis
 

rules/integrations/aws_bedrock/aws_bedrock_multiple_attempts_to_use_denied_models_by_user.toml

@@ -40,7 +40,7 @@ Bedrock offers a variety of pretrained models from Amazon (such as the Titan ser
 - Investigate other alerts associated with the user account during the past 48 hours.
 - Consider the time of day. If the user is a human (not a program or script), did the activity take place during a normal time of day?
 - Examine the account's attempts to access Amazon Bedrock models in the last 24 hours.
-- If you suspect the account has been compromised, scope potentially compromised assets by tracking Aamzon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
+- If you suspect the account has been compromised, scope potentially compromised assets by tracking Amazon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
 
 ### False positive analysis
 

rules/integrations/aws_bedrock/aws_bedrock_multiple_validation_exception_errors_by_single_user.toml

@@ -43,7 +43,7 @@ Bedrock offers a variety of pretrained models from Amazon (such as the Titan ser
 - Investigate other alerts associated with the user account during the past 48 hours.
 - Consider the time of day. If the user is a human (not a program or script), did the activity take place during a normal time of day?
 - Examine the account's attempts to access Amazon Bedrock models in the last 24 hours.
-- If you suspect the account has been compromised, scope potentially compromised assets by tracking Aamzon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
+- If you suspect the account has been compromised, scope potentially compromised assets by tracking Amazon Bedrock model access, prompts generated, and responses to the prompts by the account in the last 24 hours.
 
 ### False positive analysis