Kahana Blog

Comprehensive testing of AI browsers in 2026. Analysis of real productivity gains vs marketing hype, reliability gaps in automation, privacy concerns, and what meaningfully improves workflows.

Field guide analyzing what browser AI assistants actually do versus marketing claims. Examines reliability gaps, execution failures, privacy risks, and why structured commands outperform vague chat prompts.

Comprehensive comparison of built-in browser AI versus extension-based AI tools. Analysis of performance differences, reliability, privacy risks, and enterprise concerns in the AI browser ecosystem.

Analysis of the critical execution gap between AI chat capabilities and reliable browser automation. Examines reliability, safety, prompt injection, hallucinated actions, UX friction, and governance challenges in AI browser control.

Comprehensive analysis of browser AI privacy risks, data logging practices, and leakage vectors. Learn what gets logged, how data leaks happen, and what enterprises should demand from AI browsers.

Learn how to group tabs in Chrome manually, then discover how Oasis AI commands can automate tab organization instantly. Compare manual Chrome tab grouping with AI-powered workflows for better productivity.

With real-world scenarios, measurable impact, and a browser-first security model, this guide explores how CISOs can enable AI at scale without introducing unmanageable risk through interaction-level governance and browser-native controls.

A comprehensive workflow guide for browser-based AI summarization, covering research challenges, practical limitations, and next steps for creating reliable, accurate summaries in research-heavy workflows.

A comprehensive IT lens analysis of why Secure DNS is disabled on managed browsers, covering policy enforcement challenges, enterprise monitoring vs privacy trade-offs, and DNS governance complexity in corporate environments.