Discover and enforce security guardrails on all AI apps
Prevent leakage of sensitive data on AI tools
Restrict user access to unsanctioned AI tools or accounts
Protect against prompt injection, compliance violations, and more
Protect AI browsers against attack and exploitation
Threat Prevent data leakage across all web channels
Secure SaaS remote access by contractors and BYOD
Discover and secure corporate and personal SaaS identities
Detect and block risky browser extensions on any browser
Discover ‘shadow’ SaaS and enforce SaaS security controls
The LayerX Enterprise GenAI Security Report 2025 offers one-of-a-kind insights on GenAI security risks in organizations.
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In this case study, we explore how KnowBe4 moved beyond traditional DLP by securing data where it’s most at risk, inside the browser, giving their teams full GenAI and SaaS access without compromising control.
In this case study, learn how MediaTek used LayerX to eliminate blind spots in their security stack, securing sensitive data from GenAI leakage, SaaS misuse, and malicious extensions, while giving engineers flexibility.
In this case study, we explore how AGG leveraged LayerX to protect against malicious activity and data leakage, while giving employees freedom and flexibility to get their jobs done effectively.
In this case study, we explore how Similarweb leverages LayerX to enhance and consolidate their browser security, providing complete visibility into user activities, risks, and vulnerabilities.
Read the case study to learn how WCF Insurance, uses LayerX Enterprise Browser Extension to solve four browser-related cybersecurity challenges: Phishing attacks, Web Data Leakage, Malicious Browser Extensions and Password Reuse
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