Adrian

Runtime security that pauses AI agents before harmful actions run

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Screenshot of Adrian, Runtime security that pauses AI agents before harmful actions run

What is Adrian?

Adrian is Secure Agentics' open source runtime security layer for AI agents. It monitors an agent's chain of thought, detects prompt injection, malicious tool use and policy violations, and can pause, sandbox or require human approval before an action runs.

Adrian is a runtime security tool for AI agents, built by Secure Agentics and released as open source. It sits between an agent and the actions it wants to take, inspecting the reasoning that leads to a tool call rather than only the input and output text. The premise is blunt: prompt injection is treated as an architectural problem that is unlikely to be fully solved, so the practical defence is to stop an agent before it executes something harmful. Adrian watches the chain of thought with a reasoning engine, flags malicious behaviour, policy violations and out-of-remit planning, then holds the action back until a human or a defined rule allows it. The product works in five broad moves. Teams connect their agent framework or orchestration layer, which the vendor describes as a matter of minutes. Input and output flows are enriched with behavioural and contextual signals, then analysed for manipulation, drift and policy breaches. Findings can be routed into existing security triage and operational platforms, and the response is configurable: pause the agent, require human approval, or sandbox the action, with nothing running until a decision is made. Adrian is aimed at teams running autonomous agents, multi step agent swarms, production AI systems with real world impact, high trust or regulated environments, edge AI, and critical national infrastructure. That list sets expectations: this is infrastructure for organisations that already have agents doing consequential work, not a sandbox for experimentation. It also explains the positioning against observability tools. Log inspection and output monitoring describe what happened; Adrian is built to intervene in the planning stage, before a tool call leaves the system. In the wider market, Adrian occupies a narrow slot next to general AI observability and evaluation products. Its distinguishing claim is agent aware monitoring of reasoning traces plus enforcement, with low operational overhead and a stated emphasis on enterprise reliability. The trade offs are honesty about scope: prompt injection is presented as unsolved, and the tool is a control layer, not a prompt hardening library or a firewall for model endpoints.

How do you use Adrian?

  1. 1Review the approach and threat model
    Read the homepage sections on why agentic systems behave differently from traditional software, then confirm that blocking at the reasoning stage fits your architecture before investing setup time.
    Adrian — Review the approach and threat model
  2. 2Start the open source trial
    Use the Try Adrian Today link to reach the signup flow. The vendor positions Adrian as open source and shift left security for agents, so expect a developer oriented onboarding rather than a no code dashboard.
    Adrian — Start the open source trial
  3. 3Connect your agent framework or orchestration layer
    Point Adrian at the framework or orchestration layer your agents already run on. The vendor describes this connection step as taking minutes.
  4. 4Enrich the signal with behavioural context
    Add behavioural and contextual signals to your input and output flows so the analysis stage has enough context to judge what an agent is planning, not only what it said.
  5. 5Set detection and response rules
    Decide how Adrian should react to manipulation, drift and policy violations, then configure the response as a pause, a sandboxed action or a human approval request.
  6. 6Route findings into your security stack
    Connect alerts to the triage and operational platforms your security team already uses, so detections enter existing workflows rather than a separate queue.

Pros and cons

Pros

  • Inspects the agent's reasoning and plan, not just input and output textAI
  • Enforcement options are configurable, including pause, sandbox and human approvalAI
  • Open source, which makes the detection logic reviewable by security teamsAI
  • Connection to existing agent frameworks is described as taking minutesAI
  • Built for high stakes settings such as regulated environments and critical infrastructureAI

Cons

  • The homepage gives no pricing, plan tiers or licensing details for commercial useAI
  • No public integration list, so framework support has to be confirmed during evaluationAI
  • The vendor states prompt injection will likely never be solved, so this is mitigation rather than a guaranteeAI
  • Value depends on teams already logging or exposing agent reasoning tracesAI
  • Documentation and help resources are not linked from the homepageAI

How much does Adrian cost?

Support

No support channels, help centre or documentation are described on the homepage. A blog and an open source trial link are the only resources offered.

Integrations

The homepage says agents connect to Adrian through their framework or orchestration layer, and that findings can be sent to existing security triage and operational platforms. No named integrations are listed.

Features

Chain of thought monitoring with a reasoning engine, detection of prompt injection, malicious tool use, policy violations and out-of-remit planning. Response controls include pausing the agent, requiring human approval and sandboxing actions. Behavioural intelligence sits alongside connection to agent frameworks and routing of findings into existing security triage platforms.

Frequently asked questions about Adrian

  • How do you use Adrian?
    The walkthrough on this page covers 6 steps: 1. Review the approach and threat model 2. Start the open source trial 3. Connect your agent framework or orchestration layer 4. Enrich the signal with behavioural context 5. Set detection and response rules 6. Route findings into your security stack.
  • What platforms does Adrian support?
    Adrian is available on Web App.
  • What does Adrian integrate with?
    The homepage says agents connect to Adrian through their framework or orchestration layer, and that findings can be sent to existing security triage and operational platforms. No named integrations are listed.
  • What are the limitations of Adrian?
    The homepage gives no pricing, plan tiers or licensing details for commercial use. No public integration list, so framework support has to be confirmed during evaluation. The vendor states prompt injection will likely never be solved, so this is mitigation rather than a guarantee.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

FreePaid