Zscaler, a leader in cloud security, announced today that it has achieved Amazon Web Services (AWS) Security Competency status in the AI Security category. This designation recognizes that Zscaler has successfully met AWS’s requirements for providing cybersecurity capabilities to AWS customers. The AWS Security Competency directly aligns common customer use cases to AWS Partner capabilities, accelerating positive security outcomes.
In addition, Zscaler recently achieved AWS Migration and Modernization Competency status in the Application Monitoring and Orchestration category. This validates that Zscaler delivers tools that provide deep insights into applications by capturing and analyzing performance data, usage, and monitoring dependencies before and after migration. This ensures that applications are performing well and or better after migrating to AWS.
GenAI Tool Usage Continues to SkyrocketWhile generative AI (GenAI) tools promise to transform business, they also present new challenges for IT and security teams. A recent Zscaler ThreatLabz report reveals that enterprise use of AI/ML tools skyrocketed nearly 600% over the past year, putting enterprises at risk. Organizations need granular visibility across their environment and controls to prevent the exfiltration of sensitive data, while also mitigating “shadow AI” sprawl and ensuring the quality of AI data. And they also need proven security solutions that deliver zero trust to protect against a new landscape of AI driven cyberthreats.
Zscaler Enables Secure Use of GenAIThe best AI is powered by the best data, and the Zscaler Zero Trust Exchange processes over 500 billion transactions daily (and over 500 trillion signals daily). By training LLMs with complete logs, full URL, and anonymized data, Zscaler continually improves its AI models with high-volume, high-quality data that empowers IT and security teams.
Zscaler's proven zero trust architecture provides deep visibility and control over user interactions with generative AI tools to help organizations optimize usage and avoid data loss. For example, the Zscaler Generative AI Security Report provides administrators with a dashboard view, along with deep visibility to assess the organization’s overall risk regarding GenAI tools and data. Insights include a breakdown of the applications used, the number of sensitive transactions, the type of sensitive data, usage by department and individuals, trends, and more.
The Zscaler Zero Trust Exchange enforces policies for the GenAI tools and sites that users can visit and controls how they can interact - directly, via cloud browser isolation, or not at all - to protect sensitive data. Zscaler’s integrated data security ensures sensitive data never leaks through an AI prompt or query and full logs are provided, which include detailed usage activity and the prompts associated with GenAI tools.
Figure 1. Zscaler Generative AI Security Provides In-Depth Visibility of User Input Prompts
As a result, organizations can secure the use of tools for building generative AI applications (e.g. Amazon Bedrock, Amazon SageMaker, and others) and also secure GenAI-powered applications (e.g. Amazon Q and others). Achieving the AWS Security Competency for AI Security differentiates Zscaler as a cybersecurity provider and AWS Partner.
AWS Validated SolutionsAWS security experts annually validate the tools used and operational processes of each AWS Security Competency partner to address specific cloud security challenges aligned to the categories and use cases that they have applied for. The AWS Security Competency provides a faster and easier experience for customers to select the right AWS Partner to help them achieve their goals for business risk and cloud strategy confidence.
Additional ResourcesLearn how the industry leading Zscaler zero trust architecture secures users, data, applications and workloads on AWS today.
↧