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Improved Serverless Architecture and Cloud-Native Capabilities From Darktrace on AWS

Artificial Intelligence (AI) , Machine Learning (ML), Natural Language Processing (NLP), Deep Learning (DL), AI Model, AI-powered Solutions, Digital Transformation, ML Model, Natural Language Understanding (NLU), AI News, Artificial Intelligence News
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Darktrace, a world leader in cyber security artificial intelligence (AI), announced that it has been recognized by AWS for its serverless architecture and cloud-native capabilities following a Foundational Technical Review.

Dave Palmer, Chief Product Officer, Darktrace, said, “I am delighted to be building on our collaboration with AWS, extending our Self-Learning AI to AWS environments, and our Autonomous Response capabilities to include AWS lambda. Darktrace and AWS customers benefit from innovative threat detection, response and investigation capabilities, protecting their infrastructures from novel threats or latent vulnerabilities that some other security tools miss.”

AWS awarded Darktrace the ‘Well-Architected’ badge for the performance, security, and resilience of its infrastructure for customer applications and workloads. Darktrace and AWS are strengthening their partnership, enabling joint customers to benefit from Self-Learning AI through AWS cloud services.

Using Darktrace’s serverless architecture, workloads can be automatically deployed and scaled in response to traffic loads, drastically reducing friction and automating manual processes. Darktrace’s Self-Learning AI technology for cloud environments is continually improving, and its new native support for AWS Lambda will allow customers to customize their workflows to meet their specific requirements.

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