CrowdStrike teams up with AWS to safeguard AI in the cloud
CrowdStrike has announced the company is working with Amazon Web Services (AWS) to develop new generative AI applications that help customers accelerate their cloud, security and artificial intelligence (AI) journeys.
These include both cybersecurity-related generative AI applications, as well as cloud-plus-cloud security solutions designed to help customers build and secure their own generative AI applications.
New AI cybersecurity initiatives
CrowdStrike is leveraging new generative AI capabilities of Amazon Bedrock, a fully managed service that makes foundation models (FMs) from leading AI startups and Amazon available via an API, to help customers adopt advanced Falcon Platform search, reporting, and automation.
One such example is the use of Amazon Bedrock to accelerate development of the newly announced Charlotte AI, CrowdStrike's generative AI security analyst.
Developed using high fidelity security data and continuously improved through a tight human feedback loop, Charlotte AI allows customers to use natural language queries for advanced threat detection, investigation, hunting and response actions across the CrowdStrike Falcon platform.
Safeguarding AI in the cloud
Generative AI is rapidly transforming the nature of work by making the power of AI accessible for accelerating productivity across every sector. However, as new governance challenges and security threats emerge, organisations may be hesitant to take advantage of the potential benefits of AI, CrowdStrike states.
Risks such as malicious tampering with training data and accidental release of sensitive information used in large language model queries stymie adoption. Through this new cybersecurity initiative, CrowdStrike and AWS are also bringing together their solutions and teams to help keep customers safe across a range of AI and ML services.
The creation of AI models and the application of AI model outputs happens in the cloud. AWS offers a broad and deep portfolio of AI/ML services to help customers at every stage of adoption and skill-level.
AWS provides the tools organisations need to solve business challenges with AI/ML, 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.
CrowdStrike is focused on protecting customers at every stage of their AI and cloud journey with a holistic cloud security solution. CrowdStrike Falcon Cloud Security encompasses cloud workload protection, posture management, infrastructure entitlement management, and container security - all in a single console.
As part of this expanded collaboration, CrowdStrike is extending that protection to AWS AI/ML services by providing native integrations designed to further prevent, identify and remediate security risks associated with the adoption of AI/ML.
Raj Rajamani, Chief Product Officer DICE (Data Identity Cloud Endpoint) at CrowdStrike, comments, "We are building our generative AI capabilities on AWS to benefit from scale, reliability, and rate of innovation.
"From innovation across data collection to AI model creation, AWS helped us pioneer cloud-powered cybersecurity, first disrupting endpoint security and now doing the same for cloud security. Today, with cybersecuritys richest data set, were excited to further our AI collaboration with AWS."
Chris Grusz, Managing Director of Technology Partnerships at AWS, "Customers in highly regulated industries are increasing their adoption of AI/ML models in the cloud and experimenting with generative AI to accelerate their pace of innovation.
"We are delighted to be working with CrowdStrike to help customers meet stringent security requirements and increase their adoption of Amazon SageMaker, Amazon EC2, and container solutions to lead the way in their industries."