These include both cybersecurity-related generative AI applications and cloud plus cloud security solutions designed to help organizations build and secure their own generative AI applications.
Generative AI is rapidly transforming the nature of work by harnessing the power of AI to accelerate productivity in all areas. However, risks such as malicious tampering with training data and accidental disclosure of sensitive information used in large-scale language model queries hinder its adoption. Through a new cybersecurity partnership, CrowdStrike and AWS aim to jointly help keep enterprise data safe across a range of AI and machine learning services.
CrowdStrike leverages Amazon Bedrock’s new generative AI capabilities to help businesses deploy advanced Falcon Platform search, reporting, and automation. The company used Amazon Bedrock to accelerate the development of its newly launched Charlotte AI, CrowdStrike’s generative AI security analyst.
Charlotte AI: Harnessing Generative AI for Cybersecurity
Charlotte AI democratizes security and helps CrowdStrike Falcon users address critical challenges facing the security community, including bridging the cybersecurity skills gap and improving response times to stay ahead of their adversaries. increase. It enables users to use natural language queries to perform advanced threat detection, investigation, hunting, and response actions across the CrowdStrike Falcon platform.
“With the introduction of Charlotte AI, we deliver the next innovation that will help improve the ability of users of all skill levels to stop breaches while reducing the complexity of security operations,” said Mike Centnass, President of CrowdStrike. I’m here.
With Charlotte AI, CISOs, CIOs, and IT help desks can immediately ask straight-forward questions like, “What is your risk level for Microsoft’s latest vulnerability?” Gain direct, actionable insights in real-time to drive risk-based decision making and accelerate time to response.
According to CrowdStrike, Charlotte AI will help less experienced IT and security professionals make better decisions faster. This enables automation of repetitive tasks such as data collection, extraction, basic threat search and detection, while facilitating advanced security measures.
Secure AI in the cloud
Creating AI models and applying AI model outputs happens in the cloud. From low-level deep learning containers and Amazon Elastic Compute Cloud (Amazon EC2) images to Amazon SageMaker, a fully managed service for data preparation, building, training, and deploying ML, AWS helps organizations build AI It gives you the tools you need to solve business problems with /ML. Add your model to a growing set of pre-trained AI API services.
CrowdStrike protects organizations in the AI and cloud transition with comprehensive cloud security solutions. CrowdStrike Falcon Cloud Security encompasses cloud workload protection, posture management, infrastructure entitlement management, and container security in one console.
Raj Rajamani, Chief Product Officer for Data Identity Cloud Endpoints at CrowdStrike, said:
As part of the collaboration, CrowdStrike is extending that protection to AWS AI/ML services by providing native integrations designed to prevent, identify, and remediate security risks associated with AI/ML deployments. increase.
“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. Chris, Managing Director of Technology Partnerships at AWS Grusz said:
