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@ape.ape2000: #duetto con @Hatim ammor #حاتم_عمور

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Sunday 20 September 2026 19:21:27 GMT
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H_d👑Women👠 :
2026-09-23 12:55:07
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❤️❤️fadwa💖 Nadia ❤️❤️ :
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YOUR AI AGENT CAN CALL THE API. BUT SHOULD IT? Enterprise AI is moving beyond answering questions. AI agents can now access business systems, invoke APIs, coordinate workflows, and initiate actions. But there's a critical difference between what an AI agent CAN do and what it SHOULD be authorized to do. Five recent technology developments reveal why Enterprise and Solution Architects need to pay attention: 🔹 Microsoft Agent 365 + Azure API Management: Enforcing agent-tool permissions at runtime. 🔹 Microsoft Decision-1: Using specialized AI models for faster, less expensive decisions. 🔹 Anthropic's Agent Research: Demonstrating why model instructions alone aren't sufficient security controls. 🔹 Singapore's AI Risk Guidelines: Reinforcing accountability for AI decisions, including those involving third-party vendors. 🔹 AI Infrastructure Economics: Shifting attention from token prices to the cost of successfully completed business outcomes. 💡 Consider this banking scenario: An AI agent investigates a payment exception and determines that a transaction should be reversed. The agent has permission to invoke the reversal API. But does that mean the reversal is valid, approved, and safe to execute? Not necessarily. That's where identity, API governance, deterministic business rules, transaction controls, and auditability come together. The next generation of enterprise AI architecture isn't just about building smarter agents. It's about ensuring those agents operate within clearly defined business and security boundaries. 📖 Read my latest Digital Transformer Guy article: Your AI Agent Has Permission to Call the API. But Should It? 🌐 SamsonaSoftware.com #AgenticAI #EnterpriseArchitecture #SolutionArchitecture #APISecurity #AIGovernance
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