Randall Degges opens the security track by describing AI's impact on the software-development lifecycle. Code generation accelerates engineering but creates a need to understand new vulnerabilities and the security implications of the tools that produce software.
He broadens the discussion to production autonomy, service availability and the wider context in which AI systems operate. This is a short framing talk, not an implementation tutorial or a demonstrated comparison of security products.
The central message is to build security into everyday development so that adoption does not depend on treating every new capability as inherently safe. Sponsor introductions, event logistics and vendor invitations are omitted.
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