The Problem Jscrambler Solves
Beyond the Edge: The Structural Control Gap Inside the Browser
Traditional security architectures stop at the infrastructure boundary. However, modern digital applications increasingly execute inside the browser—where application logic runs, third-party services are activated, customer data is collected, and AI prompts are generated during real user sessions, outside your organization's control. This shift has transformed the browser into the enterprise's new operational edge and one of its least-governed attack surfaces.
- ● Privilege without control: Third-party scripts inherit broad access to sensitive data fields by default.
- ● The visibility illusion: Monitoring tools show what is happening, but they cannot control or block unauthorized behavior in real time.
- AI exposure: Without runtime governance, sensitive customer context can be silently transmitted to external AI models.
- Unprotected code: JavaScript running on users' devices can be easily tampered with—a risk now amplified by LLMs that rapidly analyze and exploit exposed code.
Key Use Cases
By unifying software integrity and data governance into a single runtime control plane directly within the browser, Jscrambler prevents sensitive data leakage, application logic manipulation, supply chain abuse, compliance violations, and unauthorized AI interactions before exposure occurs.
- Software Supply Chain Security: continuously discovers and inventories all third-party and indirect vendor scripts running during real customer sessions. The platform detects unauthorized vendor additions or behavioral changes and enforces runtime policies after deployment, where static SBOM tools are no longer effective.
- AI Data Governance and Security: prevents non-deterministic AI components from capturing proprietary application state or sensitive user interactions directly from the DOM before data leaves the browser.
- Data Governance and Privacy: proactively maps and restricts script access to sensitive form fields, personally identifiable information (PII), and DOM elements, blocking abnormal and unauthorized data transmissions in real time. It translates enterprise privacy frameworks and user consent preferences into strict runtime policy enforcement, preventing silent data exfiltration and unauthorized data leaks
- Active Compliance Enforcement: moves organizations beyond passive "detect and alert" approaches to actively enforcing regulatory requirements within the user session. Helps global organizations comply with evolving client-side integrity requirements across frameworks such as LGPD, PIX, PCI DSS, and others.
- LLM-Resilient Code Protection: hardens proprietary first-party JavaScript and application logic against reverse engineering, tampering, and competitive code theft. Uses advanced polymorphic obfuscation and active environmental defenses designed to resist both human analysis and sophisticated AI/LLM-driven decompilation tools.
- Fraud & Abuse Prevention: blocks client-side threat vectors such as formjacking, credential theft, and function hijacking at the point of execution. Actively combats automated bot traffic, transaction manipulation, and application tampering at runtime.
- PCI DSS v4 Compliance: delivers automated runtime controls specifically designed to meet the strict anti-skimming requirements for payment pages defined in PCI DSS v4 requirements 6.4.3 and 11.6.1. Generates continuous, QSA-ready reports on script authorization and integrity modifications, reducing audit complexity and compliance effort.
