Security

Auto Added by WPeMatico

Accelerate threat modeling with generative AI

Amazon Bedrock, Artificial Intelligence, Generative AI, Security, Technical How-to /

In this post, we explore how generative AI can revolutionize threat modeling practices by automating vulnerability identification, generating comprehensive attack scenarios, and providing contextual mitigation strategies. Unlike previous automation attempts that struggled with the creative and contextual aspects of threat analysis, generative AI overcomes these limitations through its ability to understand complex system relationships, reason […]

Accelerate threat modeling with generative AI Read More »

AWS machine learning supports Scuderia Ferrari HP pit stop analysis

Amazon Machine Learning, Artificial Intelligence, Customer Solutions, Migration, Security /

As one of the fastest sports in the world, almost everything is a race in Formula 1® (F1), even the pit stops. F1 drivers need to stop to change tires or make repairs to damage sustained during a race. Each precious tenth of a second the car is in the pit is lost time in

AWS machine learning supports Scuderia Ferrari HP pit stop analysis Read More »

Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt injections

Amazon Bedrock, Amazon Bedrock Agents, Security /

Generative AI tools have transformed how we work, create, and process information. At Amazon Web Services (AWS), security is our top priority. Therefore, Amazon Bedrock provides comprehensive security controls and best practices to help protect your applications and data. In this post, we explore the security measures and practical strategies provided by Amazon Bedrock Agents

Securing Amazon Bedrock Agents: A guide to safeguarding against indirect prompt injections Read More »

Protect sensitive data in RAG applications with Amazon Bedrock

Amazon Bedrock, Amazon Bedrock Guardrails, Amazon Bedrock Knowledge Bases, Amazon Machine Learning, Artificial Intelligence, Responsible AI, Security /

Retrieval Augmented Generation (RAG) applications have become increasingly popular due to their ability to enhance generative AI tasks with contextually relevant information. Implementing RAG-based applications requires careful attention to security, particularly when handling sensitive data. The protection of personally identifiable information (PII), protected health information (PHI), and confidential business data is crucial because this information

Protect sensitive data in RAG applications with Amazon Bedrock Read More »