Use natural language questions and simplye keywords to get the answers you are looking for.
Customize your intelligent search application by making use of Kendra's capability to understand domain-specific language across 14 different industries or add specific business vocabulary.
Amazon Kendra uses Machine Learning to continuously optimize search results based on end-user search patterns and feedback.
Find the most-up-to-date content across all your content repositories using a secure, single search interface.
How it works
Automate security assessments
Implement security controls, such as authentication, authorization, and continual auditing, with various levels of strictness to comply with security best practices and monitor devices for any anomalies.
Send alarms to your preferred AWS interface
Send alarms to the AWS IoT console, Amazon CloudWatch, Amazon Simple Notification Service (SNS), and AWS IoT Device Management, and take mitigation actions such as pushing security fixes.
Identify and evaluate attack vectors
Detect the use of insecure network services and protocols with known security weaknesses, and plan the appropriate remediation to prevent unauthorized device access or data disclosure.
Analyze historical device behavior for anomalies
Use ML models to analyze historical device data. For example, you can continuously ingest and evaluate message size data, which can point to issues such as credential abuse.