Compare the Top AI Agent Security Platforms that integrate with LangGraph as of November 2026

This a list of AI Agent Security platforms that integrate with LangGraph. Use the filters on the left to add additional filters for products that have integrations with LangGraph. View the products that work with LangGraph in the table below.

What are AI Agent Security Platforms for LangGraph?

AI agent security platforms help organizations secure, monitor, govern, and control autonomous AI agents operating across enterprise systems, applications, and data environments. These platforms provide capabilities such as identity management, permission controls, policy enforcement, activity monitoring, threat detection, and audit logging to ensure AI agents act within approved boundaries. They help protect against risks such as unauthorized actions, prompt injection attacks, data leakage, tool misuse, and malicious agent behavior. Many AI agent security platforms integrate with AI orchestration frameworks, IAM systems, security operations tools, and compliance platforms to provide end-to-end governance and protection. By enabling secure deployment and oversight of AI agents, these platforms help organizations scale agentic AI adoption while maintaining security, compliance, and operational trust. Compare and read user reviews of the best AI Agent Security platforms for LangGraph currently available using the table below. This list is updated regularly.

  • 1
    Enkrypt AI

    Enkrypt AI

    Anaconda

    Enkrypt AI is an agentic AI security and compliance platform designed to protect AI applications, models, agents, and their interactions throughout deployment. The platform combines continuous red teaming, real-time guardrails, monitoring, and policy enforcement to help organizations identify and mitigate AI security, safety, compliance, and brand risks. Enkrypt AI dynamically tests AI systems with use-case-specific attacks to uncover issues such as prompt injection, jailbreaking, data leakage, hallucinations, bias, harmful content, model drift, and unsafe agent actions. Real-time guardrails analyze AI interactions and block threats as they occur while adapting to changing prompts and emerging risks. Its compliance capabilities translate internal policies and external regulations into automated controls while producing evidence that organizations can use for audits and governance.
  • 2
    Vulnify

    Vulnify

    Vulnify

    Vulnify is runtime authorization for AI agents. Before a sensitive tool call runs, your code calls check() and gets ALLOW, REVIEW or BLOCK, with a 0-100 risk score and the reasons: action, data sensitivity, destination, volume. REVIEW pauses only that action until a person approves. Start in monitor mode, fail closed by default. Policies as code, Node and Python SDKs (MIT) with LangChain, MCP, CrewAI and LangGraph adapters, and a hash-chained audit log with JSON/CSV export. Free plan available.
    Starting Price: Free plan available
  • Previous
  • You're on page 1
  • Next