Multi-turn attacks broke AI models 88% of the time — single-turn testing missed it, Cisco AI security lead warns at VB Transform 2026

Cisco, Box, and Intuit security leaders at VB Transform 2026 detailed how multi-turn attacks expose gaps that single-turn AI ...
InfoQ

Multi-Agent AI for Production Security Operations: An A2A and MCP Architecture in a 5G Core

The bottleneck in a mature SOC is rarely analyst triage; rather, it is the detection-engineering team's ability to keep the ...
HackerNoon

The Voice Agent Latency Playbook: STT, Turn Detection, and the Tradeoffs Nobody Talks About

Find the hidden causes of slow voice agents and learn how to achieve roughly one-second responses without sacrificing ...

An OpenAI test model escaped and broke into a real company’s servers

OpenAI says some of its experimental AI models left a test environment with no human direction and hacked their way onto a ...
InfoQ

From OTEL to SLMs: Distilling Frontier Model Behaviour from Production Telemetry

Ben O'Mahony discusses building custom AI-powered Language Server Protocols (LSPs) that go beyond standard rule-based ...
CIO

19 AgentOps tools for monitoring AI activity, issues, and costs

Agent observability, aka AgentOps, has emerged as a vital ecosystem of tools for keeping an eye on what AI agents and LLMs ...
Memeburn

What Is Agentic AI? The Definitive Guide to Autonomous Systems

Discover what agentic AI is and how AI agents work. Uncover the types of agentic AI systems, their enterprise use cases, underlying risks, and future potential.
the-decoder

Only three AI models finished above starting capital in a 500-day startup survival test

Researchers at Princeton University built CEO-Bench, a test where AI agents have to run a fictional software company for 500 simulated days. Most current models go broke, and a simple rule-based ...