LayerX Browser Security Platform Features

Caching of static or dynamic content at distributed PoPs for faster load times.

Reporting and analytics that report on activity and program effectiveness.

Identifies and alerts administrators of threats, issues, incidents and requests related to website security.

Tracking recipient tagging of domains for blacklists and whitelists.

Analyzes your existing website and network to outline access points that can be easily compromised.

Analyzes data associated with web traffic and site performance to provide vulnerability insights and best practices.

Protects websites and web applications from a variety of attacks and malware threats.

Protects against distributed denial of service (DDoS) attacks.

Discovers website and web application malware.

Facilitates the remediation of website and web application malware.

Condenses long documents or text into a brief summary.

Restrict access to high-risk websites.

Utilize isolation and sandboxing techniques.

Protect against common exploits.

Detect and prevent phishing attempts.

Ensure consistent enforcement of internal data protection policies.

Log user actions and facilitate security incident investigations.

Monitor, detect, and prevent data breaches.

Redact and/or mask sensitive data.

Employ zero trust principles for user access controls.

Centralize user access to data and applications.

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Integrate with existing security infrastructure (SIEM, CASB, IAM, DSPM/CSPM/SSPM) to bring AI‑SPM into the wider security ecosystem.

Discover AI applications, agents, chatbots and integrations across SaaS, APIs and other environments.

Support continuous updates to policies and controls as AI‑tool usage evolves and new threats emerge.

Monitor data flows, permissions and resource access associated with AI integrations and tools.

Enforce AI‑specific security policies in real time, such as limiting agent permissions and blocking unauthorized AI activity.

Continuously assess AI integration risks including misconfigurations, policy violations and exposure to external AI services.

Provide dashboards, risk scores and prioritisation for remediation across the AI‑asset estate.

Monitor AI‑generated content for sensitive/regulated information and apply remediation or blocking controls.

Maintain audit logs, governance controls and reporting tied specifically to AI assets, agent behaviours and integrations.