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The Agentic Browser Landscape — Architecture, Risk and Enterprise Strategy
Map the agentic browser landscape across architecture, security, reliability, privacy and governance. Evidence-based guide for browser agent strategy.
Browser Agent Governance — Shadow AI Detection, Acceptable Use Policy and the Enterprise Decision Framework
Practical governance framework for browser agents: shadow AI detection, acceptable use policy construction, and the CTO decision matrix for enterprise.
Agentic Browser Data Handling — What Vendors Do With Your Browsing Data and What You Can Do About It
Chrome Auto Browse, ChatGPT Atlas and Kagi Orion handle browsing data in fundamentally different ways. Compare vendor data postures and compliance gaps.
Retrofitted vs AI-Native vs Privacy-First Browsers — What the Architecture Actually Means
What retrofitted, AI-native, and privacy-first browser architectures actually mean for security, data handling, and enterprise trust in the agentic era.
Agentic Browser Security Risks — Prompt Injection, OWASP Mapping and the Absent Safeguards
Agentic browser security risks mapped to the OWASP LLM Top 10: prompt injection benchmarks, absent safeguards, and what enterprise teams need to know.
Browser Agent Reliability — Benchmarks, Hype Gaps and What Real Task Performance Looks Like
Browser agent reliability data: median 7/10, re-prompting on every task, vendor-tested failures. What benchmarks show and why HITL is the right architecture.
The Search-to-Answer Shift — What Changed and What to Do About It
Search queries are up but clicks are down. This hub maps the zero-click shift, AI Overviews, AEO, GEO, and what your team can do to earn AI citations.
Measuring AI Search Visibility When Referrer Data Has Gone Dark
Rebuild your analytics stack to track AI search visibility with a phased framework covering dark traffic attribution, new KPIs, and purpose-built tools.