Menlo Security has unveiled a groundbreaking Browser Security Platform designed specifically for the emerging “agentic enterprise,” where autonomous AI agents increasingly outnumber human users. As organizations rapidly adopt AI-driven automation, the browser is evolving into the central operating system for both humans and machines. Therefore, Menlo’s latest innovation introduces a unified control plane that delivers real-time governance, threat prevention, and visibility across both human and non-human actors.

Unlike traditional security approaches that focus on endpoints or network perimeters, Menlo shifts protection directly into the browser session. As a result, organizations can enforce machine-speed security controls exactly where interactions occur. This approach is particularly critical as AI agents operate at speeds and scales far beyond human capabilities, often outside the visibility of conventional security tools.

“The next billion web users won’t be human. This isn’t a future prediction; it’s the current reality for the modern enterprise,” said Bill Robbins, CEO of Menlo Security. “By moving protection directly into the browser session, we are enabling organizations to deploy AI agents that work at a scale and speed impossible for humans, without opening the door to catastrophic prompt injection or data exfiltration. Without this protection, a single compromised AI agent can move laterally across enterprise systems, exfiltrate data, or execute fraudulent transactions at machine speed, with no human in the loop.”

As enterprises deploy AI agents to automate workflows, new risks are emerging. Many of these agents rely on headless browsers or direct web protocols, which operate beyond the scope of traditional security frameworks. Consequently, attackers are exploiting these blind spots using advanced techniques such as prompt injection, hidden instructions, and steganography. For example, malicious actors can embed invisible commands within documents, tricking AI agents into executing unauthorized actions without human awareness.

“Menlo is taking a fresh approach to AI agentic security. Whereas other solutions are trying to chase down agents and build a security perimeter around them, which is a losing battle, Menlo is building governance directly into the agents, securing them from inception,” said Michael D’Arezzo, Executive Director of Information Security and GRC at Wellstar Health System. “This allows for “guardrails” that help users build agents that are secure and have just the right amount of privilege and time to live. Having the confidence that agents are inherently secure from threats and data leakage will help us build out and scale our agentic strategy.”

To address these evolving challenges, Menlo’s platform introduces several advanced capabilities. First, its AI Agent Security acts as a “Guardian Runtime,” ensuring that agents can distinguish between legitimate instructions and malicious data. This effectively prevents goal hijacking and unauthorized lateral movement. Additionally, the platform provides universal connectivity, enabling AI agents to interact safely with legacy systems and applications that lack modern APIs.

Furthermore, Menlo delivers deterministic visibility by operating at the browser DOM level, offering deep forensic insights and real-time session tracking. This level of visibility allows security teams to monitor both human and AI activity with unprecedented clarity. At the same time, least-privileged governance ensures that AI agents only access the data and systems necessary for their tasks, significantly reducing risk exposure.

“AI agents represent a fundamental shift in enterprise computing,” said Ramin Farassat, Chief Product Officer at Menlo Security. “For the first time, security teams have a single control plane that applies the same security and governance policies to an AI agent processing invoices as to the human CFO approving them at machine speed, with full forensic visibility.”

Importantly, the platform creates what Menlo calls “Architectural Immunity,” where threats are neutralized before they can execute. By processing interactions in a secure cloud runtime with multimodal analysis, the system eliminates risks at the point of entry rather than reacting after compromise.

This launch follows a strong growth phase for Menlo Security, with the company surpassing $140 million in annual recurring revenue and achieving over 120% net retention. Additionally, its recent partnership with Google further strengthens its ability to deliver secure, browser-based access across devices, including support for AI agents and BYOD environments.

Overall, Menlo’s Browser Security Platform represents a major shift in how enterprises approach cybersecurity in the AI era. As organizations continue to integrate autonomous agents into core operations, solutions that unify security, governance, and visibility will become essential to maintaining trust and resilience.

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