Building a Secure Trust Layer for Agentic AI with Samesurf’s Core Technologies

Samesurf is the inventor of modern co-browsing and a pioneer in the development of core systems for Agentic AI.

AI-enabled agents reshape organizational operations by performing autonomous actions over extended periods without direct human guidance. Their power comes from the ability to browse the web, execute code, and interact dynamically with diverse digital services. This autonomy, however, introduces significant governance challenges. Chained actions and dynamic tool access can produce unpredictable behavior. Even when actions are benign, uncontrolled AI-enabled devices can trigger catastrophic security failures, including unauthorized data exfiltration or Remote Code Execution. Effective governance requires strict control of the environment in which agents operate.

Deploying AI-enabled agents exposes enterprises to multiple high-risk threat vectors. Prompt injection and goal manipulation occur when attackers embed hidden instructions, causing agents to deviate from intended behavior and bypass safeguards. Tool misuse and unexpected code execution arise when agents are granted access to integrated systems; malicious prompts can exploit these capabilities to compromise infrastructure. Web-based data exfiltration is particularly high risk, as agents using standard browsers can access sensitive internal resources and transmit data externally. Improper handling of LLM-generated outputs introduces further vulnerability, potentially enabling Cross-Site Scripting, Cross-Site Request Forgery, or privilege escalation. Fully isolating the execution environment and validating outputs is critical to maintaining security.

Addressing these risks requires a Zero Trust approach extended explicitly to AI-enabled agents. No entity, human or AI, is inherently trustworthy; all actions must be monitored, verified, and executed under scoped permissions. Web content must be isolated and sanitized to prevent leaks or malicious activity, with Data Loss Prevention tools ensuring sensitive information is protected. In this model, the execution environment, the cloud browser, becomes the pivotal enforcement point. Samesurf establishes a secure trust layer at this point, centralizing identity verification, policy enforcement, and redaction to convert potentially excessive autonomy into accountable, auditable, and safe action.

Building the Cloud Browser Infrastructure

Remote Browser Isolation, also known as a cloud browser, is the essential foundation for applying Zero Trust principles to AI-enabled agents navigating the public web. RBI isolates all browsing activity by executing sessions on a secure, remote server so that web content never reaches the local device. All web content, including scripts, code, or downloads, runs in a disposable containerized environment within the cloud. The server renders the page remotely and streams only a visual representation, an interactive pixel-based image, to the user’s device. This approach confines threats such as malware, ransomware, and browser exploits to the isolated environment, drastically reducing the attack surface for both the endpoint and the internal network.

Compared to older solutions like Virtual Desktop Infrastructure and standard container sandboxes, RBI provides clear security and operational advantages for AI-enabled agents. Unlike endpoint-based isolation, RBI fully decouples execution from the local environment, ensuring that even zero-day exploits remain contained. Virtual Desktop Infrastructure, while useful for remote software access, is resource-intensive, slower, and often fails to prevent web-based threats. RBI is optimized for high-frequency web-based automation, enabling AI agents to navigate complex interfaces, fill forms, click buttons, and parse dynamic content at scale without infrastructure overhead. This serverless, disposable architecture transforms the browser into a controlled security boundary, making it ideal for enterprise-grade autonomous web tasks.

Standard container sandboxes are often insufficient for complex web automation. Many only run isolated code snippets while keeping the agent’s model and tools on the local device, reducing security. Full-agent sandboxes require complex setups and often expose sensitive credentials. Containers also struggle with dynamic, human-facing web interfaces and usually lack visual rendering, observability, and session recording capabilities. RBI addresses these limitations by combining full web interaction capabilities with live monitoring, auditability, and comprehensive logging, providing a secure and verifiable execution environment for AI enabled agents in high-stakes enterprise use cases.

Samesurf’s Patented Architecture

Samesurf’s cloud browser infrastructure combines Remote Browser Isolation with patented governance features, creating the ultimate trust layer that supports compliant, scalable deployment of AI-enabled agents in highly regulated industries. In sectors like financial services and insurance, critical data often resides in legacy systems or external vendor portals that APIs cannot fully access. Samesurf empowers AI-enabled agents to simulate human browsing across these complex web applications, allowing the agent to navigate interfaces, fill forms, interact with dynamic content, and perform multi-step tasks just like a human operator. This unified session execution lets agents synthesize data in real time from multiple sources, such as back-end trading platforms, third-party market terminals, and client portals, enabling high-value operational tasks previously restricted to humans. The install-free, code-free deployment ensures seamless enterprise integration and frictionless collaboration with clients.

Governing AI-enabled agents requires accountability and the ability to intervene during unpredictable actions. Samesurf addresses this through its patented In-Page Control Passing feature, which transfers control between a human and an agent within the same web page without relinquishing device access. This capability allows real-time visual oversight of the agent’s actions and precise intervention during complex decision-making, providing a verifiable, auditable boundary for Human-in-the-Loop monitoring. This ensures compliance with regulatory and ethical standards, creating a secure record of which party, human or agent, executed each action.

Data security is enforced at the execution layer through ML-enabled element redaction and input blocking. Sensitive information such as credit card numbers or Social Security Numbers is automatically masked within the cloud-hosted browser before any visual stream reaches the endpoint. By applying Data Loss Prevention in real time at the session level, Samesurf prevents unauthorized access, exposure to the public web, or improper use as training data. This integrated approach transforms DLP from a network-level control into an active, in-session guardrail, ensuring regulatory compliance with GDPR, HIPAA, and PCI-DSS while maintaining high operational flexibility for enterprise AI-enabled agents.

Enterprise Value in Regulated Sectors

Financial Services: Compliance and Wealth Management

The financial services sector offers high-value applications for AI-enabled agents, including intelligent credit underwriting, proactive wealth management, and automated compliance and risk assessment. Agents can automatically gather and normalize applicant financial data across multiple sources, continuously monitor client portfolios, and recommend or execute corrective actions based on market signals.

Samesurf’s cloud browser provides a secure environment for these workflows, allowing agents to access real-time data across trading platforms, market feeds, and banking portals within a single, unified session. Sensitive information remains contained, ensuring regulatory compliance while reducing operational costs. Audit trails and session recordings are automatically maintained, facilitating oversight and accelerating ROI. Many deployments begin with employee-facing use cases to validate security and demonstrate value before scaling to client-facing applications.

Insurance and Healthcare: Secure Client Workflows

In insurance and healthcare, where handling PII and PHI is subject to strict regulations such as HIPAA and GDPR, secure execution is essential. Samesurf enables secure co-browsing sessions where agents can guide customers through policies or claims, providing interactive and visually supported experiences that build trust.

Integrated ML-enabled redaction automatically hides sensitive data during sessions, protecting client privacy and ensuring compliance. By adhering to ISO 27001, GDPR, and HIPAA standards, Samesurf establishes a trusted execution environment, making the platform the essential trust layer for compliant agentic AI adoption.

Samesurf as the Enterprise Trust Layer

Autonomous AI agents offer transformative potential by automating high-value, complex web workflows previously handled by humans. By executing multi-step tasks across diverse systems, these agents can significantly accelerate operations, reduce human error, and free employees for higher-value strategic work. Yet this potential carries inherent security and regulatory risks due to unpredictable agent behavior, emergent decision-making, and reliance on external tools and web services. Any misstep in handling sensitive data or executing a process incorrectly can have cascading consequences, which makes robust governance essential. Remote Browser Isolation provides a critical solution by isolating execution within a disposable cloud container and streaming only sanitized pixel data to the user’s endpoint, enforcing Zero Trust principles while neutralizing primary threats such as malware, Remote Code Execution , improper output handling, and inadvertent data exposure.

Samesurf enhances RBI with patented features including In-Page Control Passing and ML-enabled Element Redaction, enabling secure, precise human oversight while maximizing agent autonomy. The architecture allows enterprises to confidently deploy AI agents across legacy and siloed systems that are otherwise inaccessible via conventional APIs, ensuring tasks are completed accurately without compromising security. By combining isolation, auditability, and real-time human intervention, Samesurf ensures compliance with GDPR, HIPAA, and PCI-DSS standards, even in high-stakes regulated environments. For Chief Information Security Officers and AI governance leaders, adopting Samesurf’s technology is not just a competitive advantage; it is a strategic imperative. Samesurf provides a scalable, secure, and fully auditable environment, empowering organizations to harness the full potential of agentic AI while maintaining operational control, legal compliance, and stakeholder trust across the enterprise.

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