CrowdStrike collaborates with AWS to turbocharge AI development in Cybersecurity

CrowdStrike collaborates with AWS to turbocharge AI development in Cybersecurity

CrowdStrike collaborates

CrowdStrike announced a collaboration with Amazon Web Services (AWS) to create powerful new generative AI applications that will assist customers in accelerating their cloud, security, and artificial intelligence (AI) journeys. These include both cybersecurity-related generative AI applications and cloud-plus-cloud security solutions designed to assist customers in developing and securing their own generative AI applications.

New AI Cybersecurity Initiatives

CrowdStrike is leveraging Amazon Bedrock’s new generative AI capabilities to assist customers in adopting advanced Falcon Platform search, reporting, and automation. Amazon Bedrock is a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available via an API. One such example is the use of Amazon Bedrock to accelerate the development of CrowdStrike’s generative AI security analyst, Charlotte AI. Charlotte AI, developed using some of the world’s highest fidelity security data and was developed using some of the world’s highest fidelity security data and is constantly improved through a tight human feedback loop, enabling customers to use natural language queries for advanced threat detection, investigation, hunting, and response actions across the CrowdStrike Falcon platform.

Safeguarding AI Where AI Happens: The Cloud

Generative AI is rapidly changing the nature of work by making AI power available for accelerating productivity across all industries. However, as new governance and security challenges emerge, organizations may be hesitant to capitalize on the potential benefits of AI. Adoption is hampered by risks such as malicious tampering with training data and the unintentional release of sensitive information used in large language model queries. CrowdStrike and AWS are also bringing together their solutions and teams as part of this new cybersecurity initiative to help keep customers safe across a variety of AI and ML services.

The cloud is where AI models are created and AI model outputs are applied. AWS provides a comprehensive portfolio of AI/ML services to assist customers at every adoption and skill level stage of adoption and skill level. From low-level deep-learning containers and Amazon Elastic Compute Cloud (Amazon EC2) images to Amazon SageMaker, a fully managed service to prepare data and build, train, and deploy ML models for any use case with fully managed infrastructure, tools, and workflows, to a growing set of pre-trained AI API services, AWS provides the tools organizations need to solve business challenges with AI/ML.

CrowdStrike’s holistic cloud security solution protects customers at every stage of their AI and cloud journey. CrowdStrike Falcon Cloud Security combines cloud workload protection, posture management, infrastructure entitlement management, and container security into a unified console. CrowdStrike is extending that protection to AWS AI/ML services as part of this expanded collaboration by providing native integrations designed to further prevent, identify, and remediate security risks associated with AI/ML adoption.

“We are building our generative AI capabilities on AWS to benefit from scale, reliability, and the rate of innovation,” said Raj Rajamani, CrowdStrike’s chief product officer DICE (Data Identity Cloud Endpoint). “From data collection to AI model creation, AWS assisted us in pioneering cloud-powered cybersecurity, first disrupting endpoint security and now cloud security.” We’re excited to expand our AI collaboration with AWS today, with cybersecurity’s richest data set.”

“Customers in highly regulated industries are increasing their cloud adoption of AI/ML models and experimenting with generative AI to accelerate their pace of innovation,” said Chris Grusz, AWS’s Managing Director of Technology Partnerships. “We are thrilled to be collaborating with CrowdStrike to assist customers in meeting stringent security requirements and increasing their adoption of Amazon SageMaker, Amazon EC2, and container solutions to help them lead the way in their industries.”