Zero-Day Phishing Prevention

The Browser is Your Critical Blindspot:
Why Your Endpoint and Network Security Tools Expose Your Browser

The era of easily detectable phishing is over. Traditional security—relying on reputation, signatures, and human vigilance—is being actively bypassed by adversaries weaponizing generative AI. This technology allows attackers to craft perfectly worded, hyper-personalized social engineering campaigns and deploy Highly Evasive and Adaptive Threats (HEAT) that dynamically cloak their malicious intent and target users in the browser. The result is a critical security failure where existing controls either cannot analyze the attack in real-time or trigger massive operational overload, exposing your organization to zero-day credential theft and ransomware.

Endpoint Security (EDR) is Reactive: It is designed to detect and respond to malicious activity after the initial beachhead is established

Network Security (SWG/Firewall) is Blind: Traditional network security tools are insufficient because they rely on signatures and reputation checks, which fail to detect zero-day phishing and social engineering attacks, allowing malicious code to persist or bypass their inspection engines entirely.

The Attack Surface is Becoming Agentless: Threats are delivered via non-traditional channels (Slack, SMS, shared docs), bypassing the legacy perimeter and EDR agents entirely

80% of Attacks
Target the Local, End-User Browser

72% of Attacks with Malware Origins
Are Traced Back to Categorized Websites

75% of Phishing Links
‍Are Hosted on Trusted Websites

The Browser Is the Target. Our Cloud Is the Cure.

Menlo Security eliminates the core questions about evasion and zero-day risk by executing all web traffic and content away from the endpoint, inside the Menlo cloud. Our zero-day phishing solution is powered by advanced browser isolation technology, coupled with powerful AI-powered multimodal reasoning of HEAT Shield AI, integrated with Google Gemini. Together, these solutions go beyond traditional signatures-based detection to inspect both the visual and structural web page elements to determine true intent, instantly blocking social engineering attacks before execution. This is possible due to Menlo's advanced phishing prevention engine which sees beneath the surface of seemingly benign traffic and content to catch today's most dangerous attacks—like novel social engineering attacks (such as Click Fix), AiTM credential phishing, obfuscated code, and fake CAPTCHA page—which target the browser, easily bypassing existing controls. Crucially, the cloud architecture provides comprehensive browsing forensics, ensuring security teams have immediate, complete visibility into attempted attacks.
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This unique approach ensures that no malicious code ever touches your endpoints, replacing detection-based anxiety with prevention-based certainty, even against the most sophisticated, adaptive, and evasive AI-driven threats

Phishing Prevention Powered by Gemini LLM

HEAT Shield AI uses the power of AI to perform deep, real-time inspection of webpages. Integrated with Google Gemini, it moves beyond antiquated ML and signature reliance by leveraging powerful multimodal reasoning to analyze both the visual (logos, branding) and structural (URL, page code) elements of a page. This allows HEAT Shield AI to render an instant verdict on whether the page is valid or fraudulent, successfully detecting zero-day phishing and social engineering attacks with a 90%+ success rate. By instantly blocking these sophisticated social engineering attacks and hidden malware before execution, HEAT Shield AI defeats the full spectrum of sophisticated attacks—from zero-day phishing to dynamically hidden malware—that bypass signature-based security tools.

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Unmatched Visibility with Integrated Threat Intelligence

Provide security teams with better intelligence for enhanced incident response. With Menlo, you can learn more about the threats targeting your users. And by adding Browsing Forensics, you can see inside browsing sessions, including user actions and page resources, so you can finally get into attacker's minds...instead of the other way around. This evasive threat intelligence can then be integrated into your existing SIEM, SOAR, or SOC platforms.

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Proactive Zero-Day Defense

Your existing security investments, including SSE, SASE, and legacy RBI, rely on reactive detection and remain vulnerable to zero-day, polymorphic attacks. Menlo provides a fundamental shift to proactive prevention, seamlessly augmenting your existing solutions to close this critical protection gap. We eliminate the architectural risk by executing all web content away from the endpoint inside the Menlo Cloud. This is reinforced by HEAT Shield AI, integrated with Google Gemini, which uses powerful generative AI analysis to perform deep, real-time inspection and instantly block zero-day attacks before execution. This process ensures malicious code never touches your network or endpoint, while the solution integrates with your existing SIEMs for complete visibility and forensic logging, replacing detection anxiety with prevention-based certainty.

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Security Without Compromise

Menlo Security AI-powered threat prevention redefines web security. We move beyond outdated "detect and respond" models to provide the industry's only proactive, cloud-based defense that stops threats before they reach the endpoint. This approach eliminates initial access caused phishing entirely, neutralizes the latest AI-driven phishing and zero-day threats with unmatched precision, and provides your organization with complete assurance—delivering total security without sacrificing user experience or operational simplicity.

Synapxe Replaces Broadcom RBI with Menlo Security Enterprise Browser

To protect its 67,000+ users, Singapore’s healthtech agency Synapxe replaced its disruptive, pixel-streaming RBI solution. They adopted the Menlo Security Enterprise Browser, which uses Adaptive Clientless Rendering™ (ACR) and DOM mirroring to deliver a lightweight, safe view of websites. This provided seamless security without the performance degradation of their previous solution.