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How serverless constraints force different MCP client architectures. Session state, transport layers, and timeout handling when stdio isn't an option.
How agent-teams-ai uses task boards, structured messaging, and peer review to coordinate autonomous agents without race conditions or cascading failures.
How endpoint monitoring intercepts external AI app traffic to expose prompts, enforce policies, and solve the shadow AI visibility gap.
Architecture of deception proxies that mislead AI pentest agents with fake endpoints, plausible responses, and honeypot trails instead of blocking traffic.
How to instrument agents that handle payments so you can detect policy violations even when the API returns 200 OK.
How DataFlow chains LLM operators, swaps vLLM and SGLang backends, and exposes Gradio UIs for debuggable data prep workflows.
Why per-call LLM routing breaks agentic workflows, and how task-aware routing preserves state and quality across multi-step executions.
Cross-border breach reporting, evidence preservation, and why public disclosure doesn't trigger prosecution when AI companies attack each other.
How a continuously running capture-the-flag environment tests whether autonomous agents can discover and exploit real vulnerabilities without prior know...
How Tradeshift replaced legacy BI with Amazon Quick's agentic layer, achieving 30x faster queries and turning embedded analytics into a product.