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Overview The adoption of Generative AI (GenAI) introduces a new dimension to cloud security, shifting focus from protecting infrastructure to securing the cognitive interactions between users and Large Language Models (LLMs). Malicious actors are increasingly targeting this new attack surface with techniques like prompt injection, where crafted inputs manipulate model behavior, bypass safety protocols, and […]

Overview The adoption of Generative AI (GenAI) is rapidly transforming how businesses operate, with services like Amazon Bedrock making it easier than ever to build powerful AI applications. Bedrock Agents, which can execute complex, multi-step tasks using your company’s systems and data, represent a significant leap in automation. However, this autonomy introduces a new class […]

Overview Amazon Bedrock enables organizations to build powerful generative AI applications by orchestrating foundation models, data sources, and business logic. At the heart of this orchestration are Amazon Bedrock Agents, which require a valid AWS Identity and Access Management (IAM) service role to function. This IAM role grants the agent the specific permissions it needs […]

Overview The adoption of Generative AI is transforming how businesses innovate, with services like Amazon Bedrock making it easier than ever to build custom models trained on proprietary data. As organizations fine-tune foundation models with sensitive information, these AI artifacts become high-value intellectual property and regulated assets that demand robust protection. A critical, yet often […]

Overview As organizations increasingly leverage generative AI, the security of session data within services like Amazon Bedrock has become a critical governance concern. Bedrock Agents, which execute multi-step tasks, maintain a session history or “memory” that can contain highly sensitive information, from proprietary business data to customer PII. While AWS provides default encryption for data […]