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Added on May 09,2026
Menlo Security is a browser-centric cybersecurity platform designed to protect both human users and AI agents from modern cyber threats.
Built for agentic enterprises, it secures interactions occurring directly within the browser, where both employees and AI systems increasingly operate.
The platform combines AI-powered adaptive data loss prevention (DLP), browser isolation, and agent security to provide secure access, prevent zero-day attacks, and protect sensitive enterprise data.
Its hybrid architecture blends local security controls with cloud-based threat elimination, enabling scalable and secure browsing experiences while maintaining visibility and governance across human and AI-driven workflows.
Use Cases
Secure Enterprise Browsing: Protect employees and AI agents during web interactions.
AI Agent Security: Enforce secure frameworks for autonomous AI operations.
Zero-Day Threat Prevention: Block emerging cyber threats before compromise occurs.
Browser Isolation: Route risky browsing sessions through cloud-based threat protection.
Adaptive Data Loss Prevention: Prevent unauthorized sharing or leakage of sensitive data.
Secure AI Workflow Integration: Connect AI systems to enterprise applications lacking modern APIs.
Session Monitoring and Visibility: Track user and AI interactions for oversight and compliance.
Hybrid Cloud Security: Combine local controls with scalable cloud-based protection.
Secure Access Management: Control access to trusted and high-risk websites or applications.
Enterprise Productivity Protection: Balance usability with strong cybersecurity measures.
Threat Elimination for AI-Driven Operations: Secure browser-based automation and agent workflows.
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