Verifiable AI: Policy Management for Next-Gen AI Security
Verifiable AI: Policy Management for Next-Gen AI Security
As AI agents increasingly automate complex B2B workflows, how do organizations ensure security and compliance?
In this segment, A10 Networks' security experts, Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal, dive into the critical steps for securing AI deployments. Diptanshu emphasizes the importance of integrating AI agents into existing governance platforms, leveraging systems such as role-based access control and policy management.
They discuss how to ensure that the context fed to agents and their resulting actions are verifiable. Learn about the concept of AI firewalls or guardrails—an agentic AI security framework that checks inputs and outputs against established B2B platform policies to maintain coherence and compliance.
What you'll learn:
- The importance of integrating AI agents with existing governance models.
- How to use role-based access and policy management for AI.
- The function of an "AI firewall" or security guardrails is to verify agent actions.
- Ensuring verifiability and policy coherence in B2B AI workflows.
Learn how to secure AI and LLMs in your organization: https://bit.ly/4kOHmYd
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