LangProtect vs Prompt Security
Compare LangProtect and Prompt Security across AI application security, workforce AI governance, runtime protection, AI agent security, MCP controls, deployment, and enterprise capabilities.
How They Differ
See how LangProtect and Prompt Security differ in their approach to AI security, governance, and threat protection.
LangProtect
Enterprise AI Security Platform
Secures AI applications, agents, and workforce AI with runtime protection, governance, and customizable controls.
Prompt Security
AI Security Platform by SentinelOne
Protects enterprise AI usage with real-time governance, threat prevention, data protection, and agent security.
Who Should Choose Which?
Both platforms cover AI security across employees, applications, developers, and agents, but they differ in where they place their strongest emphasis.
Choose LangProtect if
- You need a unified platform for AI applications, AI agents, and employee AI usage.
- You build or deploy custom AI applications that require runtime protection against prompt injection, jailbreaks, sensitive-data leakage, and other AI threats.
- You want a dedicated AI Firewall, 30+ security scanners, Custom Scanner Builder, and centralized policy management.
- You need industry-specific AI security controls alongside workforce and application protection.
Choose Prompt Security if
- You need broad visibility and governance across employee AI tools, developers, homegrown AI applications, and AI agents.
- Your development teams rely heavily on AI coding assistants and need protection for source code, secrets, IP, and AI-generated code.
- You want dedicated AI red teaming, MCP security, and AI risk assessment capabilities.
- You already use SentinelOne and want AI security integrated into its broader endpoint, cloud, identity, and security operations ecosystem.
Choose Both if
- You need LangProtect's unified AI security and governance capabilities alongside Prompt Security's specialized AI red teaming, code-assistant security, or broader SentinelOne security ecosystem.
- Your organization has separate teams responsible for AI application security, workforce AI governance, and enterprise security operations.
What Each Platform Does
LangProtect and Prompt Security’s differences lie in their core security controls, customization, and specialized capabilities.
| Capability | LangProtect | Prompt Security | Advantage |
|---|---|---|---|
| Prompt Injection Protection | Dedicated detection and blocking | Detection and blocking across AI applications | Tie |
| Jailbreak Protection | Dedicated jailbreak scanner | Runtime jailbreak detection and red-team testing | Tie |
| Custom Security Scanners | 30+ built-in scanners + Custom Scanner Builder | Configurable policies and detection controls | LangProtect |
| Workforce AI Governance | Browser and desktop governance with centralized policies | Employee AI visibility, governance, and data protection | Tie |
| AI Red Teaming | AI security testing and evaluation | Automated AI red teaming and continuous security testing | Prompt Security |
| Policy Management | Centralized policy engine, custom scanners, and industry-specific templates | Granular policies across users, applications, agents, and MCP | LangProtect |
| Deployment | SaaS, self-hosted, and hybrid options | SaaS, self-hosted/VPC, and on-premises options | Tie |
What It Takes to Secure Each One
Both platforms can secure enterprise AI, but they differ in how their capabilities are deployed and managed.
LangProtect
Unified AI security platform combining runtime protection, workforce AI governance, AI agent security, MCP monitoring, policy management, and centralized analytics.
Prompt Security
AI security platform covering employee AI usage, homegrown applications, developers, AI agents, and MCP through specialized security and governance components.
TIME TO FIRST VALUE
Hours
Hours to Days, depending on the applications, endpoints, and AI infrastructure being connected.
WHAT IT MUST CHANGE
- Deploy the browser extension and/or desktop application.
- Connect AI applications through the AI Firewall or APIs.
- Configure security policies from the centralized platform.
- Deploy the endpoint agent for employee and developer AI visibility.
- Integrate homegrown AI applications through the AI Gateway/API.
- Deploy the MCP Gateway where agent and MCP protection is required.
- Configure policies across users, applications, agents, and AI interactions.
PREREQUISITES
- Identity provider / SSO
- AI application or browser deployment
- Administrator access for policy configuration
- Identity and endpoint-management infrastructure
- API or gateway access for homegrown applications
- Endpoint deployment for workforce protection
- MCP infrastructure where applicable
- Administrator access for policy configuration
What Your Security Review Will Ask
Here's how LangProtect and Prompt Security compare across the criteria enterprise security teams typically evaluate.
| Evaluation Criteria | LangProtect | Prompt Security |
|---|---|---|
| AI application security | Yes | Yes |
| Runtime AI security | Yes | Yes |
| Workforce AI security | Yes | Yes |
| AI agent security | Yes | Yes |
| MCP security | Yes | Yes |
| AI security testing & red teaming | Yes | Yes |
| AI code assistant security | Yes | Yes |
| Custom AI security scanners | Yes | No |
| Industry-specific AI security controls | Yes | No |
Frequently Asked Questions
Ready to Secure Your AI Stack?
Bring runtime AI security, workforce governance, and AI agent protection together with LangProtect.
