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Subscribe • Previous Issues The AI-Native Security Playbook: Six Essential Shifts As we expand from AI-assisted tools to AI-native operations, the security landscape is undergoing a structural transformation. Those building, scaling, and investing in generative AI applications, are starting to see a shift from static models to autonomous agents with the authority to interact directly with enterprise systems. This evolution brings a…
Subscribe • Previous Issues AI Reliability Patterns That Generalize Beyond Medicine The gap between pilot projects and production deployments has emerged as a defining challenge for enterprise AI teams. Recent surveys indicate that only a small percentage of generative AI initiatives reach full production, with most stalling due to brittle workflows and integration failures. At last year’s AI Conference, several colleagues independently…
Subscribe • Previous Issues What’s Emerging in Financial AI: From Foundation Models to Compliance-as-Code While the public discourse remains fixated on Artificial General Intelligence, the more immediate and consequential story is the diffusion of AI into specialized enterprise domains. Having spent time as a quant within the hedge fund industry, I have long viewed financial services as the primary bellwether for how…
Subscribe • Previous Issues Agent Optimization: From Prompt Whispering to Platform Engineering Agent optimization is the work of making an agent workflow dependable — despite long tool chains, multiple roles, and the inherent variability of large language models. In day-to-day engineering terms, it is closer to debugging a complex system than “making the model smarter”: you are tuning roles, prompts, routing, memory,…
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