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Stack of IDC report pages titled about browser risks and security for AI agent users.

브라우저를 보호하세요.엔터프라이즈를 보호하세요.

위협 행위자들이 끊임없이 새로운 방법을 개발하고 있기 때문에 모든 공격을 예측하는 것은 불가능합니다.고도로 회피적인 적응형 위협 (HEAT) 의 증가와 AI 사용이 맞물리면서 시스템은 언제든지 침해 위험에 처할 수 있습니다.악의적인 공격자들이 침입하는 방식에는 어떤 공통점이 있을까요?브라우저.

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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.

셀프 가이드 투어

셀프 가이드 투어를 통해 보안 앱 액세스를 지원하고, 정교한 공격을 차단하며, 브라우징 세션과 관련하여 중요한 인사이트를 제공하는 Menlo 제품의 작동 방식을 직접 살펴보세요.

가이드 투어 및 더 많은 정보를 확인하세요.

Ready to See It in Action?

Menlo를 맞춤 구성하여 고유한 보안 문제를 해결하는 방법을 자세히 알아보세요. 팀 목표에 맞춘 라이브 데모를 통해 조직의 스택을 보호하고 사용자를 안전하게 지키는 방법을 보여드립니다. 클릭 한 번으로 진정한 보안 브라우징을 경험해 보세요.

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Our team will tailor the conversation to your environment and priorities.

Mac laptop with Menlo Secure Application Access UI on screen