Three AI governance questions every executive needs to answer

Why Cybersecurity Awareness Month still comes back to the basics

Runtime AI Defense in a shared responsibility model

An AI agent once deleted someone's entire inbox despite being told to confirm first. Not because it was malicious, but because the instruction didn't survive context compaction. Shantanu Gattani, Sysdig's SVP of Product, on why that gap is the real risk in agentic AI, and who should be responsible for closing it.

Security briefing: September 2026

It may be October as you read this, but I bet many organizations got the creeps in September as environments were continuously breached. There were scams, old-fashioned human actors, a few agents making mistakes, and some persistent actors taking full advantage of a new vulnerability.

Meet Tigera at KubeCon + CloudNativeCon North America 2026

Ask a platform team how many AI agents are running in their clusters and you usually get a pause. Agents arrive through application teams, not platform teams. They call tools over MCP, invoke other agents...

Developer’s guide to implementing MCP apps in Gemini

Enterprise assistants still respond mostly in text. However, that can break down for visual, multi-step work, where every adjustment costs another slow chat turn. MCP Apps ( SEP-1865 ) solves this. This open Model Context Protocol (MCP) extension pairs a tool with a live UI. In Gemini Enterprise , that UI renders directly in the chat flow inside a sandboxed iframe, and can expand to fullscreen or…

Who judges the judge? Three helpful ways to audit your LLM evaluators

Is your LLM-as-a-judge truly objective? There’s a common misconception in tech that humans are subjective, so we should rely on AI for objective evaluation. But the reality is that LLMs are also subjective. Just like human reviewers, they can carry biases: Verbosity bias : LLM judges usually favor longer, confident-sounding answers , even when the underlying facts are wrong. Position bias :…

Building full virtual vehicles on Google Cloud: From AAOS to the smallest MCU

Imagining traditional gearheads getting their hands on software-defined vehicles is an amusing thought experiment. With their socket wrenches and air compressors at the ready, they might be confused to encounter core functions more likely to run on 1s and 0s than oil and belts. But across the auto industry these days, more and more vehicles feature prominent systems built using cloud-native…