What is the difference between LangProtect and Zscaler?

LangProtect is purpose-built around AI security, providing runtime protection, AI governance, agent and MCP security, workforce AI protection, and customizable AI security controls. Zscaler extends its Zero Trust architecture to secure AI applications, users, agents, data, and AI traffic.

Does Zscaler provide runtime AI security?

Yes. Zscaler provides inline AI security through capabilities including AI Guard and AI Gateway, with inspection and enforcement for AI traffic, prompts, responses, data, and threats.

Does Zscaler have an AI Firewall?

Yes. Zscaler's AI security architecture provides inline AI traffic inspection and enforcement through its AI Guard and AI Gateway capabilities.

Can both platforms secure AI agents and MCP?

Yes. Both provide AI agent and MCP security. LangProtect focuses on AI-specific runtime protection and governance, while Zscaler combines agent and MCP controls with its broader Zero Trust architecture.

Which platform is better for AI security specialization?

LangProtect is designed specifically around AI security, while Zscaler integrates AI protection into its broader Zero Trust platform. The right fit depends on whether an organization wants a dedicated AI security platform or AI security integrated into an existing Zero Trust architecture.

Which platform is better for AI security testing?

Zscaler provides automated AI red teaming with thousands of attack scenarios. LangProtect provides AI security testing and evaluation as part of its broader AI security platform.

Can LangProtect and Zscaler work together?

Yes. Organizations can use Zscaler for Zero Trust access, network, endpoint, and data security while using LangProtect as a dedicated AI security layer for AI applications, agents, interactions, and AI-specific security controls.

LangProtect vs Zscaler

Compare LangProtect and Zscaler across AI application security, runtime protection, AI guardrails, workforce AI, agent security, MCP, and AI governance.

How They Differ

Compare their approaches to securing AI applications, agents, users, and AI interactions.

LangProtect

Enterprise AI Security Platform

Purpose-built security, governance, and runtime protection for AI applications, agents, and workforce AI.

Zscaler

AI Security & Zero Trust Platform

Extends Zero Trust security to AI applications, users, agents, data, and AI-driven workflows.

Who Should Choose Which?

Both platforms provide broad AI security, but they approach the problem from different architectural foundations.

Choose LangProtect if

You need a purpose-built AI security platform focused specifically on AI applications, agents, MCP, and workforce AI.
You want 30+ AI security scanners, custom security controls, and centralized AI security policies.
You want AI security capabilities without making a broader Zero Trust platform the foundation of your AI security architecture.

Choose Zscaler if

Your organization already relies on Zscaler's Zero Trust ecosystem and wants to extend it to AI.
You need AI security integrated with enterprise access control, DLP, endpoint security, and cloud security.

Choose Both if

You want dedicated AI security from LangProtect alongside Zscaler's broader Zero Trust and data-security infrastructure.
Your security architecture spans AI applications, employees, agents, MCP, endpoints, cloud applications, and enterprise data.

What Each Platform Does

LangProtect and Zscaler overlap across runtime security, AI guardrails, workforce AI, agents, MCP, and governance, but their core architectures are different.

Capability	LangProtect	Zscaler	Advantage
Runtime AI Security	Dedicated AI Firewall for real-time inspection and enforcement	AI Guard and AI Gateway for inline AI traffic inspection and enforcement	Tie
Custom Security Scanners	30+ scanners plus Custom Scanner Builder	Custom probes and AI security testing	LangProtect
AI Agent Security	Runtime protection for agents and workflows	Agent discovery, access controls, AI Broker, and runtime protection	Tie
AI Security Testing	AI security testing and evaluation capabilities	Automated red teaming and 5,000+ attack scenarios	Zscaler
AI Asset Discovery	AI application, agent, and workforce visibility	AI application, model, agent, and MCP discovery	Zscaler
Custom Policy Creation	Custom scanners, policies, and configurable enforcement	AI guardrails, DLP policies, and Zero Trust controls	Tie
AI Security Specialization	AI security is the platform's primary focus	AI security integrated into a broader Zero Trust platform	LangProtect
Industry-Specific AI Policies	Industry-specific AI security templates	Compliance-oriented AI security policies	LangProtect

What It Takes to Secure Each One

Both platforms provide broad AI security, but their deployment and operational models reflect their different foundations.

LangProtect

Purpose-built AI security platform combining runtime protection, AI governance, workforce AI security, agent security, MCP security, and centralized analytics.

Zscaler

AI security layer built into the broader Zero Trust Exchange, combining AI protection with access control, DLP, endpoint, cloud, and network security.

Time to first value

Hours

Hours to Days, depending on existing Zscaler deployment and the AI security capabilities being enabled.

WHAT IT MUST CHANGE

Connect AI applications through the AI Firewall or APIs.
Deploy browser and/or desktop protection for workforce AI.
Configure AI security policies from the centralized platform.

Route relevant AI traffic through Zscaler.
Enable AI security and Zero Trust policies.
Deploy endpoint components where required.
Configure AI guardrails, DLP, and access controls.

PREREQUISITES

Identity provider / SSO access.
AI application or browser deployment.
Administrator access for policy configuration.

Zscaler environment or applicable Zero Trust deployment.
Identity and endpoint integration where required.
AI traffic routing.
Administrator access for security configuration.

What Your Security Review Will Ask

For enterprise security teams, the key question is whether the platform provides dedicated AI security alongside the broader controls needed to protect AI environments.

Security Requirement	LangProtect	Zscaler
AI Application Security	Yes	Yes
AI Threat Detection & Prevention	Yes	Yes
AI Security Testing & Red Teaming	Yes	Yes
AI Agent Security	Yes	Yes
Workforce AI Security	Yes	Yes
Custom AI Security Scanners	Yes	No
Custom Scanner Builder	Yes	No
Industry-Specific AI Security Controls	Yes	No

Frequently Asked Questions

One Platform for Enterprise AI Security

Protect AI applications, agents, and workforce AI usage with centralized security, runtime protection, and governance.

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