The Rise of Conversational IAM, aka Identity & Access processes built with new LLM (Large Language Model) and RAG (Retrieval Augmented generation) ingredients, enables a unique opportunity to tear down integration barriers between the IAM and Cyberworlds.
Conversational IAM provides tangible cost reduction, efficiency, and security resilience gains in four dimensions.
• User Experience: interaction is only in Natural language: Reporting, UI configuration, and end-user-related Change management costs nearly disappear. "Just ask!" is the new UI paradigm.
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• Configuration efforts: ‘coding’ Risk Policies, Workflow, Visibility policies, and Entitlement Semantic enrichment in Natural Language only requires 'business domain knowledge'. Write a good PDF, and forget about the code.
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• Data Augmentation: LLM+RAG technology allows for seamless inquiry of documental sources (e.g. Data Protection Agreements, Credential leak files, etc.) and cross-checking them with structured IAM data.
• Chatbot to Chatbot integration: Imagine a conversation-based integration among Chatbots, each with its specialization. "Hey, SOC Chatbot. Conversational IAM here: Is there anything for me about this human here?"
This session will highlight 'Cyber + IAM' brotherhood user stories and explain how Conversational IAM is the fundamental enabler uniting the IAM+Cyber family.
Paraphrasing Elvis: "You need a lot more conversation, a little less (coding) action instead.'
