AWS Security Blog

Category: Artificial Intelligence

Accelerate security automation using Amazon CodeWhisperer

In an ever-changing security landscape, teams must be able to quickly remediate security risks. Many organizations look for ways to automate the remediation of security findings that are currently handled manually. Amazon CodeWhisperer is an artificial intelligence (AI) coding companion that generates real-time, single-line or full-function code suggestions in your integrated development environment (IDE) to […]

Figure 1: Generative AI Scoping Matrix

Securing generative AI: data, compliance, and privacy considerations

Generative artificial intelligence (AI) has captured the imagination of organizations and individuals around the world, and many have already adopted it to help improve workforce productivity, transform customer experiences, and more. When you use a generative AI-based service, you should understand how the information that you enter into the application is stored, processed, shared, and […]

Data flow diagram for a generic Scope 1 consumer application and Scope 2 enterprise application

Securing generative AI: Applying relevant security controls

This is part 3 of a series of posts on securing generative AI. We recommend starting with the overview post Securing generative AI: An introduction to the Generative AI Security Scoping Matrix, which introduces the scoping matrix detailed in this post. This post discusses the considerations when implementing security controls to protect a generative AI […]

Generate AI powered insights for Amazon Security Lake using Amazon SageMaker Studio and Amazon Bedrock

In part 1, we discussed how to use Amazon SageMaker Studio to analyze time-series data in Amazon Security Lake to identify critical areas and prioritize efforts to help increase your security posture. Security Lake provides additional visibility into your environment by consolidating and normalizing security data from both AWS and non-AWS sources. Security teams can […]

Use CodeWhisperer to identify issues and use suggestions to improve code security in your IDE

I’ve always loved building things, but when I first began as a software developer, my least favorite part of the job was thinking about security. The security of those first lines of code just didn’t seem too important. Only after struggling through security reviews at the end of a project, did I realize that a […]

Automate and enhance your code security with AI-powered services

Organizations are increasingly embracing a shift-left approach when it comes to security, actively integrating security considerations into their software development lifecycle (SDLC). This shift aligns seamlessly with modern software development practices such as DevSecOps and continuous integration and continuous deployment (CI/CD), making it a vital strategy in today’s rapidly evolving software development landscape. At its […]

How to improve your security incident response processes with Jupyter notebooks

Customers face a number of challenges to quickly and effectively respond to a security event. To start, it can be difficult to standardize how to respond to a partic­ular security event, such as an Amazon GuardDuty finding. Additionally, silos can form with reliance on one security analyst who is designated to perform certain tasks, such […]

Matrix Final Image

Securing generative AI: An introduction to the Generative AI Security Scoping Matrix

Generative artificial intelligence (generative AI) has captured the imagination of organizations and is transforming the customer experience in industries of every size across the globe. This leap in AI capability, fueled by multi-billion-parameter large language models (LLMs) and transformer neural networks, has opened the door to new productivity improvements, creative capabilities, and more. As organizations […]

Example of CodeGuru Security integration with deployment pipeline

How Amazon CodeGuru Security helps you effectively balance security and velocity

Software development is a well-established process—developers write code, review it, build artifacts, and deploy the application. They then monitor the application using data to improve the code. This process is often repeated many times over. As Amazon Web Services (AWS) customers embrace modern software development practices, they sometimes face challenges with the use of third-party […]

How to encrypt sensitive caller voice input in Amazon Lex

In the telecommunications industry, sensitive authentication and user data are typically received through mobile voice and keypads, and companies are responsible for protecting the data obtained through these channels. The increasing use of voice-driven interactive voice response (IVR) has resulted in a need to provide solutions that can protect user data that is gathered from […]