Securing Autonomous B2B Workflows with AI Firewalls and Guardrails
Securing Autonomous B2B Workflows with AI Firewalls and Guardrails
A10 security experts Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar discuss the importance of context-aware security for AI agents.
As autonomous AI agents automate complex B2B workflows, the need for robust security and governance is critical. In this clip, A10 Networks security expert Diptanshu Purwar addresses the foundational requirement for securing these next-generation AI systems. The core solution lies in tying AI agents into your existing enterprise governance platforms, rather than treating them as isolated entities.
Key Security Elements for Agentic AI:
❇️ Integration with Governance: AI agents must align with established security practices, including Role-Based Access Control (RBAC) and robust organizational policy management.
❇️ Verifiable Workflows: When agents automate workflows—especially in B2B environments—it is crucial to verify the context they are given and the actions they plan (their next set of sequences).
❇️ The AI Firewall/Guardrail Framework: Diptanshu introduces the concept of an Agentic AI Security Framework (or AI Firewall/Guardrails). This solution's purpose is to take the context being fed to the agent and verify that both the input and output are in coherence with the policies set by the B2B platforms.
This clip provides security teams and platform architects with essential insights on maintaining compliance and operational coherence as they deploy increasingly autonomous AI agents.
Learn how to secure AI and LLMs in your organization: https://bit.ly/4kOHmYd
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