Building and Scaling Secure Agentic AI Applications in AWS Bedrock
The transition from passive Generative AI to Agentic AI has fundamentally rewritten the cloud security playbook. While early defenses focused on preventing hallucinations, the shift toward autonomous workflows in AWS Bedrock means models now have hands to execute code and memory to query proprietary data, effectively dissolving the traditional network perimeter.
In this new landscape, security is no longer defined by what a model says, but by what it can do across your interconnected enterprise infrastructure. Leveraging specialized research from the XM Cyber team, this handbook delivers essential best practices for architects and CISOs to identify and avoid these critical vulnerabilities.
Get this ebook to:
- Understand the core entities, from Guardrails to Knowledge Bases, that govern data flow and execution within AWS Bedrock.
- Learn how attackers can exploit these and other AWS Bedrock infrastructure to exfiltrate sensitive data and bypass security filters.
- Master best practices to prevent agents from being tricked into using their legitimate authority to perform malicious actions.