RSAC 2026: Rethinking Trust in Agentic AI Security - esecurityplanet.com
RSAC 2026: Rethinking Trust in Agentic AI Security esecurityplanet.com
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Voice-to-Schema: Turning "Track My Invoices" Into a Real Table
We rebuilt our NLP pipeline three times before it actually worked. Here's what went wrong each time and what we learned about the gap between what people say and what they mean. The Problem Nobody Talks About When we started building VoiceTables , we had a simple hypothesis: let people describe what they need, and generate a structured table from that description. User says "I need to track my invoices," system creates an invoices table with sensible columns. Easy, right? Turns out spoken language and structured data are almost completely different things. The first version took about two weeks to build and maybe 20 minutes to realize it was broken. Attempt 1: Naive Prompt Engineering The first pipeline was embarrassingly simple. Take the transcript, send it to an LLM with a system prompt
Your AI Agent Stopped Responding 2 Hours Ago. Nobody Noticed.
Your agent is deployed. Pod is running. Container passes liveness probes. Grafana shows a flat green line. Everything looks fine. Except the agent stopped processing work 2 hours ago. It's alive - the process is there - but it's stuck. Deadlocked on a thread. Blocked on a full queue. Spinning in a retry loop that will never succeed. Silently swallowing exceptions in a while True . Nobody knows until a customer reports it. Or until someone opens a dashboard at 5 PM and wonders why the task queue has been growing all afternoon. Why Container Health Checks Don't Work for Agents Kubernetes liveness probes check one thing: is the process responding to HTTP? If your agent serves a /healthz endpoint, the probe passes. The agent is "healthy." But responding to /healthz and processing work are two
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Ask HN: Will AI agents replace data scientists or make them better?
There's been a lot of chatter about AI agents replacing knowledge workers and I've been thinking about where data science specifically falls - the judgment part of the job feels different from the repetitive tasks. Curious what others are seeing in practice. Comments URL: https://news.ycombinator.com/item?id=47645141 Points: 2 # Comments: 0
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