Veranstaltungsdetails
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Securing AI agents on Amazon Bedrock. From shared responsibility to compliance evidence.
Amazon Bedrock
Sicherheit
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ONLINE
Ravikant Sharma | Sr Solutions Architect - Security, Riya Chard | Startups Solutions Architect, Artem Kalaitan | Darkhunt CPO
English
100 – Grundstufe, 200 – Mittelstufe
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Shipping AI agents used to be a product question. Now it's a compliance question. The EU AI Act, ISO 42001, NIST AI RMF, and the OWASP LLM Top 10 have raised the bar for anyone running AI in production and the bar isn't "do you have controls," it's "can you prove it."
In this 45-minute session, AWS and DarkHunt split the problem along the shared responsibility line. AWS walks through how security requirements scale with the scope and autonomy of your AI and the Amazon Bedrock AgentCore platform that secures the model and runtime side: agent identity, authorization, credential brokering, session isolation, and observability. Darkhunt will then explain how this can be tested through their adversarial validation catalog and a live indirect-injection finding, with remediation that hardens both stacks together.
You'll leave with a five-step plan your team can start on this week.
Agenda
1:00 PM UTC
AWS: The shared responsibility model for AI agents
AWS: The shared responsibility model for AI agents - how security scales with AI scope and autonomy, the Bedrock AgentCore platform, and a 5-step plan to secure your agents this week.
1:15 PM UTC
Zero Trust for AI - Securing the Agent Boundary
Covering the regulatory questions need for every major framework, your agent attack surface, and auditor-ready controls. Includes a live adversarial demo showing how DarkHunt and AWS (Bedrock Guardrails + AgentCore) harden your AI stack together.
1:30 PM UTC
Live Q&A
Live Q&A: Open floor with both teams on securing and proving compliance for AI agents.