AI has quietly rewritten how software is built. When machines produce code at scale, old secure-by-design assumptions fail fast. We look at where new risks emerge, why speed now expands our exposure, and how security and engineering leaders must reset current practices to stay competitive and credible.
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We discover what works, what fails and consider the risks of autonomy. We also examine dangerous anti‑patterns and explore how to secure AI agents before control is lost.
We’ll unpack why M365 complexity surpasses traditional admin models, why leaders feel both optimism and anxiety about AI, and how least-privilege guardrails and domain-specific AI agents enable safe automation. We’ll learn how evolving roles and a three-phase roadmap can make your tenant AI-ready with control and clarity.
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