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Artificial intelligence is rapidly reshaping how K–12 and public sector organizations operate. From teachers and staff experimenting with public GenAI tools to formal rollouts, AI adoption is accelerating faster than governance frameworks can keep up.
For CISOs, CIOs, CTOs and Security Directors in California SLED organizations, this creates a new data security inflection point. Sensitive student records, HR data, financial information and regulated content are increasingly exposed to prompt input, AI model processing and autonomous AI agents. The question is no longer whether AI will be used but how to enable it responsibly without losing control of sensitive data.
In this session, attendees discovered:
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This case study highlights how a software factory leveraged SD Elements to embed application security into its development workflows. By integrating threat modeling and security requirements early in the SDLC, the team improved consistency, reduced risk, and enabled developers to build more secure software at speed.
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