Promote Sign in Sign up

AI security 2026 Rank: #489

Adrian ✓

AI agent security guard that stops threats instantly.

Source rating 5.0 (2) 6.4k views 985.4M/mo traffic 18 saves Free
Local No Sign-Up AI Security
More categories (4)
Runtime Monitoring AI Behavior Analysis AI Agent AI security
Visit website Sign in to save

Free

Privacy Terms

Verdict

A quick read before you dig into the full page.

Best if
You are researchers and need: Listing contents of a directory
Skip if
Limited alert channels
Pick this when
Real time security monitoring

Considering AI Security Gateway instead? Compare side by side

Overview

Adrian is an open-source runtime security monitoring and control tool that has been designed specifically for Artificial Intelligence (AI) agents. Coming from the secureagentics repository on GitHub, Adrian is ingeniously designed to detect and control malicious or misaligned behavior of AI agents during their operation.

Key features include the ability to monitor an agent's activity logs, tool calls, outputs, actions, and reasoning traces. By scrutinizing these traces and logs, the tool can identify deviant behaviors and react in real-time, even before the agent acts.

One distinguishing aspect is that it allows for optional in-flight intervention for behaviour that deviates from the expected or acceptable range.For developers and AI practitioners, Adrian is easily accessible and straightforward to utilize.

It is available through a Python Software Development Kit (SDK), which can be installed and integrated with just two lines of code dedicated to LangChain agents.

This real-time monitoring system allows developers and AI practitioners to ensure their AI tools and models are acting within their defined remit, hence reducing the risk of unexpected or unwanted behaviors.

Adrian offers two modes of operation: audit and block mode. The audit mode is designed for general monitoring of agent behavior, while the block mode provides the added security measure of intervening and stopping any suspicious activity.

The customization extends towards the alert systems, which allows users to set up specific alerting channels and define accepted behaviours versus known risks.In sum, Adrian provides a comprehensive security and control system for the runtime operations of AI agents.

It ensures that these agents act according to the behaviors that are programmed in them, thereby reducing the risk of malicious activity or policy drift.

Adrian website

Best for

Short scenarios where Adrian tends to shine.

  • Listing contents of a directory

    Best for Researchers

  • Downloading David Tong's QFT lecture notes to a specific folder

    Best for Developers

  • Deploying a website using Flask

    Best for System administrators

  • Solving tasks using Python programming and visualizing data

    Best for Data scientists

  • Terminating a process on a specific port

    Best for AI enthusiasts

  • Implementing a 3D model using cadquery

    Best for Researchers

  • Collecting tutorials in various branches of physics

    Best for Researchers

  • Conducting investigations on open-source PDF OCR tools

    Best for Researchers

Example outputs 1

Sample generations and before/after results for Adrian.

Adrian screenshot
Adrian screenshot Adrian website

Access & connections

Where you can use Adrian, and what it plugs into.

Platforms

Web

Integrations

GitHub MCP

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Code
  • Text

Output

  • Tabular
  • API
  • Text

Highlights

  • MCP
  • No Signup
  • Open Source
  • Local

Supported features

  • MCP
  • No Signup
  • Open Source
  • Runs Locally
  • Cybersecurity

Pros & cons

Pros

  • Real time security monitoring
  • Direct control over agents
  • Analyzes agent activity logs
  • Analyzes reasoning traces
  • Can intervene during events
  • Python SDK integration
  • Two operation modes: audit/block
  • Alerting channels feature
Show 29 more
  • Defines acceptable behaviours
  • Highlights known risks
  • Self-hosting compatibility
  • Open-source tool
  • Detects policy drift
  • Prevents threat attempts
  • Behavior analysis of agents
  • In-flight behaviour intervention
  • Customizable alert system
  • Audit mode for monitoring
  • Block mode for intervention
  • Generates security audit
  • Hosted on GitHub
  • Real-time threat response
  • Agent activity log monitoring
  • Accessible and easy use
  • Python SDK: simple integration
  • Low risk of unwanted behaviours
  • Designed for range of behaviours
  • Flexible alert customization
  • Dashboard for real-time updates
  • Can install with two lines
  • Monitors tool calls/outputs/actions
  • Real-time classified events
  • Offline, data sovereign deployments
  • Entire stack runs on single host
  • Reasoning analysis boosts detection accuracy
  • Free, open-source tool
  • Can run on user's infrastructure

Cons

  • Python SDK restricted
  • Customization complexities
  • Limited alert channels
  • Dependent on LangChain agents
  • Self-hosting pains
  • Requires frequent interventions
  • Offline deployments demanding
  • Single host limitations

Compare alternatives

Similar tools in the catalog — with a clear reason to open each one.

Why look Offers a public API

Full comparison

Free + from $10/yr

Full comparison

Why look Offers a public API

Full comparison

No pricing

Full comparison

No pricing

Full comparison

No pricing

Full comparison

People also view

Tools that often show up alongside Adrian in collections and comparisons.

Releases 1

Initial release May 20, 2026 Current
Initial release of Adrian.

FAQ 12

What is Adrian and what does it do?
Adrian is a runtime security monitoring and control engine designed for AI agents. It is capable of identifying and handling security matters such as the misuse of tools, prompt injections, and policy drifts in real time, before the AI agent conducts the action. It does this by scrutinizing both agent activity logs, encompassing tool calls, actions, and outputs, as well as reasoning traces to spot any potential harmful or misaligned behavior.
How can Adrian detect harmful or misaligned behavior in AI agents?
Adrian employs a detailed analysis of both agent activity logs and reasoning traces to detect harmful or misaligned behavior. The agent activity logs include tool calls, actions, and outputs carried out by the AI. On the other hand, reasoning traces allow Adrian to understand the logic or reasons behind these actions. By combing the two, it can identify any behaviour that may pose a security risk.
What are the features of Adrian?
Adrian offers a suite of features geared towards ensuring AI agent security. These include real-time analysis of agent activities and reasoning traces, malicious tool use detection, real-time understanding and intervention of policy drift, prompt injection, and more. It also provides alerting channels, the ability to delineate acceptable behaviours and known risks, and compatibility for self-hosting on users' own infrastructure. Furthermore, it facilitates easy integration into LangChain agents with its Python SDK.
Can Adrian interrupt potentially harmful AI activities?
Yes, Adrian is designed not only to monitor AI activities but also to intervene them when necessary. This is mainly done in its block mode operation. When a potential harmful activity is identified, Adrian can interrupt the suspect activity as part of its control measures.
How to integrate Adrian with LangChain agents using Python SDK?
Integration of Adrian into LangChain agents is made seamless with its Python Software Development Kit (SDK). You first need to install the SDK using pip, the Python package installer. Then a LangChain provider for the agent's model needs to be installed. Finally, an 'adrian.init' and 'adrian.shutdown' bracket is wrapped around the standard LangChain.
What is the difference between Adrian's audit mode and block mode?
In Adrian, the audit mode is responsible for identifying and classifying security events. It observes AI agent operations and raises an alert when it spots activities that may pose a risk based on set guideline. On the other hand, block mode goes a step further. When suspicious activities are identified, block mode interrupts these actions rather than just generating an alert.
Can Adrian be self-hosted, and if so, how?
Yes, Adrian can be hosted on a user's own infrastructure. This ensures data privacy and sovereignty. Adrian supports entirely offline, data sovereign deployments using just a handful of Docker commands. The Go backend, the Next.js dashboard, the Python SDK, and a Llama.cpp container that serves a local Gemma model can all be run on a single host.
Does Adrian offer real-time analysis and security event classification?
Absolutely, Adrian offers real-time analysis and security event classification. By continuously monitoring agent activity logs and reasoning traces, it can immediately detect any aberrations or behaviors that violate set guidelines. Once identified, these security events are promptly classified depending on their nature and severity for appropriate handling.
How can I identify and delineate acceptable behaviors in Adrian?
Adrian provides its users the ability to establish acceptable behaviours for their AI agents. This is done during configuration, where one sets the remit of the agent, distinguishes between the behaviors that are permissible versus the known risks. With these boundaries in place, Adrian can then detect any deviations and take corrective actions when an AI agent engages in unacceptable behaviours.
Is Adrian capable of detecting policy drift in real time?
Yes, Adrian is designed to detect policy drift in real time. Its continuous monitoring and control system is adept at catching changes that indicate a drift from pre-established policies. This allows it to intervene and correct course as soon as it identifies the deviation.
What are the alerting channels available in Adrian?
Adrian supports alerting channels, making sure notifications about identified security events reach you. The specific types of alerting channels are not explicitly stated on their website presently. However, they could potentially include email alerts, SMS notifications, system messages, etc.
How can Adrian prevent the misuse of AI tools?
Adrian is geared towards preventing misuse of AI tools. It does this by continuously monitoring and analyzing two main things: agent activity logs and reasoning traces. If it detects suspicious activities, like malicious tool use, prompt injection, or policy drift, it can intervene in real time and block these activities before they're executed.
Adrian Free
Visit website