See how ard.ms wraps your live agents with runtime defense — book a walkthrough or a live threat demo.
ard.ms delivers runtime defense for AI agents — detecting, blocking, and responding to threats while your agents are actually executing, where the real attacks happen.
You test the model, review the prompts, push to production — and then the defenses go quiet. But agents do their real work at runtime, and that's exactly where attackers strike.
A static review done last week cannot stop an attack happening right now. Pre-deployment testing checks for known issues — it can't anticipate every input an agent will face in the wild.
An agent that can act is an agent that can be turned against you. Attackers craft malicious prompts and conditions specifically to manipulate agents once they're live.
Build-time security can't watch what happens at execution. Tool calls, data access, and real-time decisions all happen in a window most security stacks never observe.
ard.ms watches behavior in real time, recognizes when an agent is being manipulated or going off the rails, and steps in before damage is done — catching prompt injection, anomalous tool use, and data exfiltration attempts as they unfold, not in a post-incident report.
Five capabilities that work together as one continuous defense — from detection through forensics.
Continuously monitor agent behavior during execution to catch manipulation, anomalies, and unsafe actions the instant they occur — not after the fact.
Recognize when an agent's inputs are trying to hijack its behavior, and neutralize the attempt before it changes what the agent does or decides.
Enforce limits on what agents may do at runtime, so even a compromised agent cannot step outside its defined safe boundaries.
When a threat is detected, respond automatically — block the action, halt the agent, or escalate for review — without waiting for a human to notice.
Capture exactly what an agent attempted, when, and why a defense fired — giving you the evidence to investigate and continuously harden defenses.
Monitoring and response operate inline with minimal overhead, so protection runs alongside your agents without disrupting normal operation.
Set up once, then let runtime defense run continuously alongside every execution.
Place ard.ms around your running agents so it can observe their behavior and intercept their actions in real time.
Define the behaviors and boundaries that count as safe, so anything outside them is automatically treated as a threat.
As agents run, ard.ms watches for manipulation and unsafe actions, responding the moment something crosses the line.
Review captured incidents to understand attacks and continuously tighten your agents' runtime defenses over time.
They answer different questions. One checks for known issues in advance. The other catches what only appears once real inputs hit a live agent.
| Dimension | Pre-Deployment Testing | ard.ms Runtime Defense |
|---|---|---|
| When It Acts | Before the agent ships | ✓ While the agent is executing |
| What It Catches | Known issues, anticipated inputs | ✓ Live manipulation, novel attacks |
| Compromised Agent | Cannot intervene after launch | ✓ Halted or escalated immediately |
| Prompt Injection | Tested against known patterns only | ✓ Neutralized as inputs arrive |
| Evidence | Static test reports | ✓ Forensic capture of live incidents |
| Response Speed | — | ✓ Automatic, inline, no human wait |
The runtime attack surface that build-time security was never designed to see.
Inputs crafted to hijack agent behavior and redirect its decisions.
Unauthorized or unexpected tool calls outside an agent's normal pattern.
Attempts to extract or move data the agent was never meant to expose.
Any agent behavior that strays outside its defined safe envelope.
Responsible for AI agents running in live environments — who need visibility and control over what agents actually do once deployed.
Shipping autonomous agents that touch real systems and data, and need runtime assurance that build-time review alone can't provide.
Where a single hijack could cause real damage — financial, reputational, or operational — and runtime defense is non-negotiable.
Building agentic products that need runtime assurance baked in — for their own teams and for the customers who depend on them.
Securing an agent before launch isn't the same as defending it while it runs. ard.ms stands guard at runtime — watching, blocking, and responding the moment a threat appears.