Webinar Description
Key Takeaways
- Focuses on securing agentic AI applications in production environments without sacrificing deployment speed
- Covers AWS security frameworks including Amazon Bedrock, AgentCore, Guardrails, IAM, KMS and CloudTrail
- Demonstrates how prompt injection attacks can exploit AI agents to access downstream APIs and sensitive data
- Designed for security professionals, cloud architects and DevOps engineers managing enterprise AI deployments
About the Event
This virtual webinar, jointly presented by AWS and Salt Security, examines the security challenges that emerge when enterprises deploy agentic AI applications at scale. The session combines live presentations with technical demonstrations showing how attacks can be traced from initial prompt injection through to downstream API compromise.
Technical Focus Areas
The webinar explores how AWS provides foundational security tools for building agentic applications, covering Amazon Bedrock, AgentCore, Guardrails, IAM, KMS and CloudTrail. Salt Security’s Agentic Security Platform and its AI Detection and Response (AI-DR) capabilities extend protection to runtime environments. A key demonstration shows how these solutions work together to trace sophisticated attacks across complex AI-agent architectures, correlating events that might otherwise appear as disconnected alerts.
Security Challenges Addressed
The session addresses several operational concerns: securing AI agents in production, detecting and responding to prompt injection attacks, integrating security controls across AWS and third-party tools, and maintaining deployment agility while meeting compliance requirements. Particular attention is given to attacks that exploit AI agents as vectors to access downstream APIs and business data.
Who Should Attend
The webinar targets security professionals, cloud architects, DevOps engineers, product managers and IT leaders in medium to large enterprises that are deploying or managing AI agents. It is relevant to those working in IT security, cloud infrastructure and product development departments who need to balance rapid AI adoption with robust security controls.