Sponsored by: Crogl | Building AI for Enterprise Security. A neuro-symbolic approach

AI consumerization is inspiring startups and enterprise teams to build AI agents for security. But as much as 95% of Enterprise AI projects are failing. Challenges come from over reliance on a single technology e.g. LLMs, data fragmentation, organizational process nuances and governance concerns. Working with complex orgs like US DOW and Fortune 500, we have developed a neuro-symbolic approach to building the AI for Enterprise Security. This session deep dives into our approach. We will share the architecture, the specific agent, knowledge graph, and relational components. You will leave with concrete patterns for designing resilient, model-agnostic security capability on top of your existing data infrastructure. Attendees will get an opportunity to sign up for the preview release of the free AI for Enterprise Security from Crogl.