CrowdStrike announced that it is collaborating with Amazon Web Services (AWS) to develop new generative AI applications that help accelerate customers’ cloud, security, and artificial intelligence (AI) initiatives.
These include both cybersecurity-related generative AI applications and cloud-to-cloud security solutions designed to enable customers to build and secure their own generative AI applications.
New AI cybersecurity initiatives
CrowdStrike leverages Amazon Bedrock’s new generative AI capabilities. This is a fully managed service that makes leading AI startups and Amazon’s Foundational Models (FMs) available via APIs to help customers deploy advanced Falcon platform search, reporting and automation.
One example is the use of Amazon Bedrock to accelerate the development of Charlotte AI, the newly announced Generative AI Security Analyst for CrowdStrike.
Developed using high-fidelity security data and continuously improved through a tight human feedback loop, Charlotte AI enables customers to use natural language queries to detect advanced threats across the CrowdStrike Falcon platform. Enable detection, investigation, hunting, and response actions.
Secure AI in the cloud
Generative AI is rapidly transforming the nature of work by harnessing the power of AI to accelerate productivity in all areas. But as new governance challenges and security threats emerge, organizations may be hesitant to capitalize on AI’s potential benefits, CrowdStrike said.
Risks such as malicious tampering with training data and accidental exposure of sensitive information used in large-scale language model queries hinder adoption. Through this new cybersecurity initiative, CrowdStrike and AWS bring together solutions and teams to keep customers safe through a range of AI and ML services.
Creating AI models and applying AI model outputs happens in the cloud. AWS offers a broad and deep portfolio of AI/ML services to help customers at all stages of deployment and skill levels.
From low-level deep learning containers and Amazon Elastic Compute Cloud (Amazon EC2) images to Amazon SageMaker, a fully managed service for preparing, building, training, and analyzing data, AWS helps organizations use AI/ML. and give you the tools you need to solve your business challenges. Deploy ML models for any use case to a growing set of pre-trained AI API services using fully managed infrastructure, tools, and workflows.
CrowdStrike is focused on protecting customers at every stage of their AI and cloud journey with a comprehensive cloud security solution. CrowdStrike Falcon Cloud Security covers cloud workload protection, posture management, infrastructure entitlement management, and container security all in one console.
As part of this expanded collaboration, CrowdStrike will extend its protection to AWS AI/ML services by providing native integrations designed to further prevent, identify, and remediate security risks associated with AI/ML deployments. is extended to
Raj Rajamani, Chief Product Officer for Data Identity Cloud Endpoints (DICE) at CrowdStrike, commented: “We build generative AI capabilities on AWS to benefit from scale, reliability, and speed of innovation.
“From innovation across data collection to creating AI models, AWS helped us pioneer cloud-powered cybersecurity, breaking endpoint security first and now doing the same with cloud security.” Today, we are excited to further our AI collaboration with AWS with the richest dataset in cybersecurity.”
Chris Grusz, Managing Director of Technology Partnerships at AWS, said: “Customers in highly regulated industries are increasingly adopting AI/ML models in the cloud and experimenting with generative AI to accelerate the pace of innovation.
“We are excited to work with CrowdStrike to help our customers meet their stringent security requirements and lead the industry in increasing adoption of Amazon SageMaker, Amazon EC2 and container solutions.”
