LangProtect vs Akto
Compare LangProtect and Akto across AI security, runtime protection, AI agents, MCP, workforce AI governance, API security, deployment, and enterprise capabilities.

How They Differ
Compare their approaches to securing AI applications, agents, and workforce AI.
LangProtect
Enterprise AI Security Platform
Unified security, governance, and visibility for AI applications, agents, and workforce AI.
Akto
API & Agentic AI Security Platform
Secures APIs, AI applications, agents, and MCP with discovery, testing, and runtime protection.
Who Should Choose Which?
Both platforms secure modern AI environments, but they approach AI security from different starting points.
Choose LangProtect if
- You need a purpose-built AI security platform covering applications, agents, MCP, and employee AI usage.
- You need a dedicated AI Firewall for real-time inspection and enforcement.
- You want 30+ AI security scanners, a Custom Scanner Builder, and centralized AI security policies.
- You need AI security controls and governance designed specifically around prompts, responses, sensitive data, and AI interactions.
- You want to combine runtime AI security with workforce AI governance in one platform.
Choose Akto if
- API security is a major part of your security strategy alongside AI security.
- You need extensive API discovery, API DAST, runtime API protection, and API posture management.
- You need large-scale security testing with 1,000+ API security tests and agentic security probes.
Choose Both if
- Your organization needs dedicated AI security alongside a mature API security and AppSec program.
- You want LangProtect to secure AI interactions and AI applications while Akto handles broader API discovery, testing, and security posture.
- Your security architecture spans AI applications, APIs, agents, MCP, and employee AI usage.
What Each Platform Does
LangProtect and Akto overlap across AI runtime security, agents, MCP, and workforce AI, but their core strengths are different.
| Capability | LangProtect | Akto | Advantage |
|---|---|---|---|
| Runtime AI Security | Dedicated AI Firewall for real-time inspection and enforcement | Agent Proxy, MCP Proxy, and runtime API protection | Tie |
| Custom Security Scanners | 30+ scanners plus Custom Scanner Builder | Custom guardrails and security tests | LangProtect |
| AI Firewall | Dedicated AI Firewall architecture | Runtime proxies and agent/MCP protection | LangProtect |
| AI Agent Security | Runtime protection for agents and workflows | Agent discovery, testing, guardrails, and runtime protection | Tie |
| API Discovery | AI application and interaction visibility | Automated API discovery and inventory | Akto |
| AI / Agent Security Testing | Security playgrounds and evaluation capabilities | 1,000+ specialized agentic security probes | Akto |
| Custom Policy Creation | Custom scanners, policies, and configurable enforcement | Custom guardrails and security tests | LangProtect |
| Industry-Specific AI Policies | Healthcare, Financial Services, Education, and other templates | Compliance and security mappings | LangProtect |
What It Takes to Secure Each One
Both platforms can secure enterprise AI, but their deployment and operational models reflect their different origins.
LangProtect
Unified AI security platform combining runtime protection, workforce AI governance, AI agent security, MCP monitoring, policy management, and centralized analytics.
Akto
Broad API and agentic security platform combining API discovery, DAST, API runtime protection, agentic discovery, AI guardrails, MCP security, and endpoint governance.
TIME TO FIRST VALUE
Hours
Hours to Days, depending on the APIs, applications, agents, endpoints, and security testing environments being connected.
WHAT IT MUST CHANGE
- Deploy the browser extension and/or desktop application.
- Connect AI applications through the AI Firewall or APIs.
- Configure AI security policies from the centralized platform.
- Connect API traffic and application sources for discovery and testing.
- Deploy Agentic Discovery or endpoint components where required.
- Configure Agent/MCP proxies or guardrails for runtime protection.
- Connect APIs, agents, MCP servers, and security workflows as required.
PREREQUISITES
- Identity provider / SSO
- AI application or browser deployment
- Administrator access for policy configuration
- API traffic or application access for discovery
- Cloud, Kubernetes, endpoint, or gateway access depending on deployment
- Agent/MCP integrations where applicable
- Administrator access for security configuration
What Your Security Review Will Ask
Here's how LangProtect and Akto compare across the criteria enterprise security teams typically evaluate.
| Evaluation Criteria | LangProtect | Akto |
|---|---|---|
| Runtime AI Security | Yes | Yes |
| AI Application Security | Yes | Yes |
| Workforce AI Security | Yes | Yes |
| AI Agent & MCP Security | Yes | Yes |
| AI Security Testing | Yes | Yes |
| API Security | Yes | Yes |
| Custom AI Security Scanners | Yes | No |
| Dedicated AI Firewall | Yes | No |
Frequently Asked Questions
Secure Your AI Security Layer
Protect AI applications, agents, MCP workflows, and employee AI usage with purpose-built security.
