AGENTIC SECURITY
Agents don’t behave like software, your security shouldn’t either.
Adrian is the open-source runtime security toolkit built to secure agents.
01
CAPTURE
Python SDK wrapped around the agent captures both the agent action telemetry and it’s reasoning in real-time, sending it to a local or hosted backend.
02
DETECT
Analyses behaviour against the security policies, considering overt harm (e.g cryptomining), and contextual harm (e.g e-commerce agent resetting user passwords).
03
CONTROL
Alert mode: security alerts sent to operators via Slack, Discord orWhatsApp.
Block mode: each agent action is paused andreviewed by Adrian before proceeding
Block mode: each agent action is paused andreviewed by Adrian before proceeding
Every solution in this space shows you what
your agents have already decided to do.
Adrian is the only open-source toolkit that allows you to monitor and control your agents, before they execute.
Prompt injection is architectural
and will likely never be solved.
The solution is to put a control layer inside each of your agents that can evaluate each stage of their reasoning and intervene before harm happens. This is exactly what Adrian does.
What you probably have
Logs reviewed post agent execution
Input/Output filtering only (no reasoning access)
Static rules based on known attack patterns
Dashboards with alerts, no intervention
Unknown security risk from closed source 3rd party providers
What you need
Analysis agentic reasoning traces prior to execution
Detection by behaviour, not by known signatures
Block mode: Stop agent prior to execution, not after
Human-in-the-loop available when it actually matters
Open source.Two lines of code. Works today.
Build safely, secure your agents today.
Open Source | Shift left security for your agents.
Try Adrian Today
Every solution in this space shows
you what your agents are doing.
Adrian is the only open-source tool that stops them from doing it. Watching is not defending.
01
CAPTURE
Python SDK wrapped around the agent captures both the agent action telemetry and it’s reasoning in real-time, sending it to a local or hosted backend.
02
DETECT
Analyses behaviour against the security policies, considering overt harm (e.g cryptomining), and contextual harm (e.g e-commerce agent resetting user passwords).
03
CONTROL
Alert mode: security alerts sent to operators via Slack, Discord orWhatsApp.
Block mode: each agent action is paused andreviewed by Adrian before proceeding
Block mode: each agent action is paused andreviewed by Adrian before proceeding
Prompt injection is architectural and will never be solved.
The solution is to put a control layer inside the agent that can watch what it does, understand why it is doing it, and intervene before harm happens.This is what Adrian does.
What you probably have
Logs reviewed after the action
Output filtering (doesn't see reasoning)
Static rules on known attack patterns
Dashboards with alerts, no intervention
Enterprise-only, 6-12 month sales cycle
What you need
Analysis of the reasoning trace before action
Detection by behaviour, not by known signatures
Block mode: halt before harm, notafter
Human-in-the-loop when it actually matters
Open source.Two lines of code. Works today.
Build safely, secure your agents today.
Open Source | Shift left security for your agents.
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