Showing only posts tagged Best Practices. Show all posts.

Implementing least privilege access for Amazon Bedrock

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Generative AI applications often involve a combination of various services and features—such as Amazon Bedrock and large language models (LLMs)—to generate content and to access potentially confidential data. This combination requires strong identity and access management controls and is special in the sense that those controls need …

Enhancing telecom security with AWS

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If you’d like to skip directly to the detailed mapping between the CISA guidance and AWS security controls and best practices, visit our Github page. Implementing CISA’s enhanced visibility and hardening guidance for communications infrastructure In response to recent cybersecurity incidents attributed to actors from the People …

How AWS Network Firewall session state replication maximizes high availability for your application traffic

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AWS Network Firewall is a managed, stateful network firewall and intrusion protection service that you can use to implement firewall rules for fine grained control over your network traffic. With Network Firewall, you can filter traffic at the perimeter of your virtual private cloud (VPC); including filtering traffic going …

Implement effective data authorization mechanisms to secure your data used in generative AI applications – part 2

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In part 1 of this blog series, we walked through the risks associated with using sensitive data as part of your generative AI application. This overview provided a baseline of the challenges of using sensitive data with a non-deterministic large language model (LLM) and how to mitigate these challenges …

Safeguard your generative AI workloads from prompt injections

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Generative AI applications have become powerful tools for creating human-like content, but they also introduce new security challenges, including prompt injections, excessive agency, and others. See the OWASP Top 10 for Large Language Model Applications to learn more about the unique security risks associated with generative AI applications. When …

Preventing unintended encryption of Amazon S3 objects

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At Amazon Web Services (AWS), the security of our customers’ data is our top priority, and it always will be. Recently, the AWS Customer Incident Response Team (CIRT) and our automated security monitoring systems identified an increase in unusual encryption activity associated with Amazon Simple Storage Service (Amazon S3 …

Securing a city-sized event: How Amazon integrates physical and logical security at re:Invent

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Securing an event of the magnitude of AWS re:Invent—the Amazon Web Services annual conference in Las Vegas—is no small feat. The most recent event, in December, operated on the scale of a small city, spanning seven venues over twelve miles and nearly seven million square feet …

AWS KMS: How many keys do I need?

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As organizations continue their cloud journeys, effective data security in the cloud is a top priority. Whether it’s protecting customer information, intellectual property, or compliance-mandated data, encryption serves as a fundamental security control. This is where AWS Key Management Service (AWS KMS) steps in, offering a robust foundation …

Introducing an enhanced version of the AWS Secrets Manager transform: AWS::SecretsManager-2024-09-16

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We’re pleased to announce an enhanced version of the AWS Secrets Manager transform: AWS::SecretsManager-2024-09-16. This update is designed to simplify infrastructure management by reducing the need for manual security updates, bug fixes, and runtime upgrades. AWS Secrets Manager helps you manage, retrieve, and rotate database credentials, API …

AWS Network Firewall Geographic IP Filtering launch

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AWS Network Firewall is a managed service that provides a convenient way to deploy essential network protections for your virtual private clouds (VPCs). In this blog post, we discuss Geographic IP Filtering, a new feature of Network Firewall that you can use to filter traffic based on geographic location …

Preparing for take-off: Regulatory perspectives on generative AI adoption within Australian financial services

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The Australian financial services regulator, the Australian Prudential Regulation Authority (APRA), has provided its most substantial guidance on generative AI to date in Member Therese McCarthy Hockey’s remarks to the AFIA Risk Summit 2024. The guidance gives a green light for banks, insurance companies, and superannuation funds to …

Secure root user access for member accounts in AWS Organizations

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AWS Identity and Access Management (IAM) now supports centralized management of root access for member accounts in AWS Organizations. With this capability, you can remove unnecessary root user credentials for your member accounts and automate some routine tasks that previously required root user credentials, such as restoring access to …

Securing the RAG ingestion pipeline: Filtering mechanisms

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Retrieval-Augmented Generative (RAG) applications enhance the responses retrieved from large language models (LLMs) by integrating external data such as downloaded files, web scrapings, and user-contributed data pools. This integration improves the models’ performance by adding relevant context to the prompt. While RAG applications are a powerful way to dynamically …

Important changes to CloudTrail events for AWS IAM Identity Center

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AWS IAM Identity Center is streamlining its AWS CloudTrail events by including only essential fields that are necessary for workflows like audit and incident response. This change simplifies user identification in CloudTrail, addressing customer feedback. It also enhances correlation between IAM Identity Center users and external directory services, such …

Implement effective data authorization mechanisms to secure your data used in generative AI applications

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Data security and data authorization, as distinct from user authorization, is a critical component of business workload architectures. Its importance has grown with the evolution of artificial intelligence (AI) technology, with generative AI introducing new opportunities to use internal data sources with large language models (LLMs) and multimodal foundation …

How to use interface VPC endpoints to meet your security objectives

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October 28, 2024: We updated the text and figure for security objective 1 to show Amazon Route 53 Resolver DNS Firewall. Amazon Virtual Private Cloud (Amazon VPC) endpoints—powered by AWS PrivateLink—enable customers to establish private connectivity to supported AWS services, enterprise services, and third-party services by using …

How to build a Security Guardians program to distribute security ownership

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Welcome to the second post in our series on Security Guardians, a mechanism to distribute security ownership at Amazon Web Services (AWS) that trains, develops, and empowers builder teams to make security decisions about the software that they create. In the previous post, you learned the importance of building …

Customer compliance and security during the post-quantum cryptographic migration

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Amazon Web Services (AWS) prioritizes the security, privacy, and performance of its services. AWS is responsible for the security of the cloud and the services it offers, and customers own the security of the hosts, applications, and services they deploy in the cloud. AWS has also been introducing quantum-resistant …

Enhancing data privacy with layered authorization for Amazon Bedrock Agents

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Customers are finding several advantages to using generative AI within their applications. However, using generative AI adds new considerations when reviewing the threat model of an application, whether you’re using it to improve the customer experience for operational efficiency, to generate more tailored or specific results, or for …

Keep your firewall rules up-to-date with Network Firewall features

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AWS Network Firewall is a managed firewall service that makes it simple to deploy essential network protections for your virtual private clouds (VPCs) on AWS. Network Firewall automatically scales with your traffic, and you can define firewall rules that provide fine-grained control over network traffic. When you work with …

Six tips to improve the security of your AWS Transfer Family server

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AWS Transfer Family is a secure transfer service that lets you transfer files directly into and out of Amazon Web Services (AWS) storage services using popular protocols such as AS2, SFTP, FTPS, and FTP. When you launch a Transfer Family server, there are multiple options that you can choose …

Encryption in transit over external networks: AWS guidance for NYDFS and beyond

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On November 1, 2023, the New York State Department of Financial Services (NYDFS) issued its Second Amendment (the Amendment) to its Cybersecurity Requirements for Financial Services Companies adopted in 2017, published within Section 500 of 23 NYCRR 500 (the Cybersecurity Requirements; the Cybersecurity Requirements as amended by the Amendment …

Making sense of secrets management on Amazon EKS for regulated institutions

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Amazon Web Services (AWS) customers operating in a regulated industry, such as the financial services industry (FSI) or healthcare, are required to meet their regulatory and compliance obligations, such as the Payment Card Industry Data Security Standard (PCI DSS) or Health Insurance Portability and Accountability Act (HIPPA). AWS offers …

Cloud infrastructure entitlement management in AWS

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Customers use Amazon Web Services (AWS) to securely build, deploy, and scale their applications. As your organization grows, you want to streamline permissions management towards least privilege for your identities and resources. At AWS, we see two customer personas working towards least privilege permissions: security teams and developers. Security …

Network perimeter security protections for generative AI

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Generative AI–based applications have grown in popularity in the last couple of years. Applications built with large language models (LLMs) have the potential to increase the value companies bring to their customers. In this blog post, we dive deep into network perimeter protection for generative AI applications. We …

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