CrowdStrike announced the company is working with
Amazon Web Services (AWS) to develop powerful 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 some of
the world's highest 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 Where AI Happens: 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, organizations may be hesitant to take advantage of the potential
benefits of AI. 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 organizations 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 protects 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.
"We are building our generative AI capabilities on AWS to benefit from
scale, reliability, and rate of innovation," said Raj Rajamani, chief
product officer DICE (Data Identity Cloud Endpoint) at CrowdStrike.
"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
cybersecurity's richest data set, we're excited to further our AI
collaboration with 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," said Chris Grusz, Managing
Director of Technology Partnerships at AWS. "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."