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Thumbnail of Menlo Security Report; The State of Browser Security

Menloのクラウドベースのマルウェア対策で安全なウェブアクセスを実現

攻撃者は常に新しい手法を開発しており、すべての攻撃を予測することは不可能です。 検知回避型脅威(HEAT)の台頭とAIの活用が相まって、システムはいつ侵入されるかわからない危険にさらされています。 攻撃者が侵入する方法の共通点は何でしょうか?それはWebブラウザです。

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What the Research Found

IDC analysts examined how the enterprise browser has evolved and what security leaders need to do next.

85%+ of Enterprise Workflows

are browser-based, making the browser both the primary attack surface and the most powerful enforcement point available.

The Next Billion Users

are AI Agents. Agentic AI is creating an entirely new user class — one that operates autonomously, at machine speed, and without human judgment or hesitation.

Traditional Controls Are Breaking Security Tools

built for human behavior. MFA, behavioral analytics, and user training don't account for AI agents that bypass these controls by design.

Browser Security Has Been Evolving.
So Has the Threat.

Enterprise browser security didn't arrive overnight. It evolved throughthree distinct eras — from basic perimeter controls, to SaaS-driven access management, to today's zero trust architectures. But the rise of agentic AI represents something different: a fundamental break from assumptions that haveunderpinned security strategy for decades.

AI agents don't respond to warnings. They can't be trained. They operatewith broad privileges, persistent access, and no friction — which makes themboth extraordinarily powerful and uniquely dangerous when compromised.

The attack vectors are new, too. Prompt injection. Adversarial manipulation. Identity sprawl. Data exfiltration at machine speed. These aren't theoretical risks — they're the next frontier for enterprise security teams.

1. Lock the Gates

Perimeter-Centric

2. The Perimeter Dissolves

SaaS & Zero Trust

3. AI Agents Have Arrived

Agentic AI & Browser-Native Security

How Menlo Secures the Human + Agent Enterprise

Browser window with icons of Google Chrome, Microsoft Edge, Safari, Mozilla Firefox, and Opera lined up on a purple and blue circuit board background.

The Challenge

Data exfiltration risk from  autonomous agent actions

Data exfiltration risk from  autonomous agent actions

Data exfiltration risk from  autonomous agent actions

Data exfiltration risk from  autonomous agent actions

Data exfiltration risk from  autonomous agent actions

The Menlo Answer

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Session-based policy enforcement that applies equallyto human and agent users

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Dynamic, context-aware agent  authorization with zero trust network access

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Real-time telemetry and full audit  trails for every agent transaction

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DLP and DDR controls applied before  and after AI processing

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Zero-day threat prevention at the  session layer, before content reaches the device

Ready to See It in Action?

Whether you want a live demo or just want to understand what Menlo costs for your environment, we'll keep it focused and relevant.

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製品ツアーで、Menlo製品がセキュアなアプリアクセスを可能にし、巧妙な攻撃をブロックし、ブラウジングセッションに関する重要な洞察を提供する仕組みをご確認ください。

製品ツアー

Ready to See It in Action?

Menloが組織それぞれ独自のセキュリティ課題を解決するためにどのようにカスタマイズできるかをご覧ください。それぞれの担当チームの目標に合わせてカスタマイズされたデモをご用意し、現在のスタックをセキュアにし、ユーザーを保護する方法をご案内いたします。真にセキュアなブラウジングエクスペリエンスをワンクリックするだけで実現できます。

デモの予約

No commitment required.
Our team will tailor the conversation to your environment and priorities.

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