Clarke Rodgers, director of corporate strategy at Amazon Cloud Technology, explains security strategies in the era of generative AI

As generative artificial intelligence develops rapidly around the world, how can we quickly keep up with business changes and build a zero-trust system to ensure the effectiveness of security practices?

"Security has always been the top priority of Amazon Cloud Technology. We have embedded security, compliance and privacy protection functions into product applications, and users do not need to worry about the security of the underlying infrastructure. Even in the era of generative AI, Users can still get the same experience!" Clarke Rodgers, Director of Enterprise Strategy at Amazon Cloud Technology, said in an interview with the media during the re:Invent Global Conference that compared with other companies that provide large models, Amazon Cloud Technology can ensure that users are more private. Use large models in the environment to ensure that the company's sensitive data will not be leaked, let alone used for other companies' large model training. Users can focus on building applications on the cloud and introduce large models into actual business scenarios of the enterprise

Clarke Rodgers, Director of Corporate Strategy, Amazon Cloud Technology

Before joining Amazon Cloud Technology, Clarke Rodgers was a leader in enterprise digital transformation and large-scale cloud business migration. He specializes in listening to clients, gaining experience, and guiding business development. In the seven years since he entered Amazon Cloud Technology, he has been understanding the latest trends in the market in the same way. Over the years, he has met with more than 750 business executives, proving that enterprises are using the latest technologies related to security compliance and privacy protection while using the cloud. Not only do they want to use the latest security solutions on the cloud, they also want to apply these solutions to the entire business network of the enterprise

Rewritten content: with secure platform and tools

Although generative AI has become the protagonist of global technological innovation this year, Amazon Cloud Technology began its security strategic actions as early as the era of artificial intelligence. For example, Amazon Inspector and Amazon Detective are important products launched by Amazon in the past few years

Amazon Inspector is a vulnerability management service that continuously scans enterprise workloads for software vulnerabilities and potential security risks. Amazon Checker automatically discovers and scans running Amazon EC2 instances, container images in the Amazon Elastic Container Registry (Amazon ECR), and Lambda functions for known software vulnerabilities and accidental network leaks. If there are vulnerabilities in the user's use of generative artificial intelligence, Amazon Checker can make suggestions for fixing the vulnerabilities by inspecting the Lambda code. Usage of the app is gradually increasing

Similarly, Amazon Detective is also a popular application that is often used by chief security officers, information directors, etc., mainly to check whether there are security issues in critical applications or infrastructure. Amazon Detective's newest feature uses artificial intelligence and machine learning to detect problems in applications or infrastructure and group them for easy viewing and analysis by analysts. Detective provides pre-built data aggregation, summarization and contextual capabilities to help users quickly analyze and determine the nature and scope of possible security issues, etc.

Whether it is artificial intelligence or Internet application scenarios, new changes often occur in the security field. We must go all out in terms of technology and strategies to protect the door of security. Taking data loss as an example, although corporate employees have strong security awareness in terms of subjective awareness, they may have shared customer data unconsciously. For example, customer data was used in an artificial intelligence program based on the public network, but it fell into a dangerous situation without knowing it

Safe large model

Many applications of Amazon Cloud Technology can fundamentally prevent security incidents from occurring. For example, Amazon Bedrock adopts a safer and more responsible technology system to enable users to introduce generative artificial intelligence into enterprise production scenarios in the simplest way. Based on years of enterprise-level data management experience, Amazon Cloud Technology knows how to protect data, ensure that sensitive data is used correctly through reasonable management mechanisms and powerful applications, and truly achieve data manageability and availability!

On Amazon Bedrock, all customer data of the user is encrypted and only the user can access it. Amazon Bedrock ensures from a platform design perspective that customer data and related information will not be used to further train the model

If customers want to transfer data, they can use Amazon PrivateLink. With dedicated secure connections to Amazon Bedrock and Virtual Private Networks (VPCs), you ensure data is not exposed on the public network

For users with highly regulatory needs, Amazon Bedrock is HIPAA (Health Insurance Portability and Accountability Act) compliant and can be used under GDPR (EU General Data Protection Regulation) compliance standards. Thus enabling more enterprises to benefit from generative artificial intelligence

Overall, Amazon Cloud Technology has expanded the boundaries of zero trust. Zero trust not only requires customers and systems to strictly prove their identity and credibility, but also allows users to control application access, data and Find a balance between systems to meet the needs of the current business in the new state and new environment.

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