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Bridging the gap between technical implementation and business strategy in the era of AI security.
As AI becomes embedded in everyday workflows, security and AI governance can not be afterthoughts; they're core capabilities that should be built into your AI strategy from day 1. Whether you're building AI solutions or adopting them for your business, the next generation of skills will center around securing AI pipelines, governing agentic workflows, and aligning security with business strategy.
This session builds on Brian M. Green’s recent DevOpsPhiladelphia talk and dives deeper into practical examples of how to secure and scale AI systems. Agentic AI requires a focused roadmap that empowers both technical teams and business decision-makers to navigate emerging AI security challenges with confidence.
You can expect clear frameworks, real-world examples, and actionable strategies you can apply immediately to your business needs.
What You’ll Learn:
🔐 How AI changes the threat surface, and why traditional security isn’t enough.
🧭 CI/CD pipeline strategies to secure AI and agentic workflows.
🧑‍💻 Developer-focused skills: Policy-as-Code, observability, HITL triggers.
🧑‍💼 Business-focused insights: governance, compliance posture and risk mitigation.
🧰 How to build a cross-functional security strategy that scales with innovation.
🕒 Format:
45-minute presentation with demo frameworks
15-minute Q&A with audience participation
Recording and resource links available afterward
LinkedIn Live Event

AI and Society
Artificial Intelligence
Cybersecurity
Software Product Management
DevOps

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