""Even if you trust the AI browser vendor and are comfortable with data sharing, you need hard guardrails around how the browser operates. Limit the sites it can reach, apply strict DLP controls, and scan anything it downloads. And make sure you have a strategy to defend these browsers against vulnerabilities. They can be led astray to dark corners of the web, and URL filtering alone isn't enough.""
"The risks associated with agentic AI are considerable, especially as development accelerates at a pace security measures aren't keeping. Randolph Barr, Chief Information Security Officer at Cequence Security, shares, "As organizations rapidly adopt agentic AI, Model Context Protocol (MCP), and autonomous browsing capabilities, we're seeing a pattern develop: AI-native browsers are introducing system-level behaviors that traditional browsers have intentionally restricted for decades. That shift breaks long-standing assumptions about how secure a browser environment is supposed to be."
Agentic AI browsers present significant new cybersecurity risks by expanding attack surfaces and enabling system-level behaviors that traditional browsers have long restricted. These browsers can be manipulated to interact with malicious landing pages, potentially allowing a single compromised model to affect millions of users. Strong technical controls are necessary: limit reachable sites, enforce strict DLP, scan downloads, and develop defense strategies for model manipulation and vulnerabilities. URL filtering alone is insufficient. Blocking agentic browsers until robust guardrails and security measures mature reduces enterprise exposure and risk of large-scale compromise.
Read at Securitymagazine
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