Detect threats in live interactions
Use ARGUS to evaluate connected application traffic for supported prompt injection, unsafe content, and policy violations.
AI runtime defense
Put security policy in the path of AI actions
Detect threats in connected AI interactions, block covered actions that violate policy, and investigate the decisions made during live use.
The challenge
AI can act on a malicious instruction in the same session
Prompt injection and tool misuse can move from an untrusted input to a sensitive action quickly. Runtime controls need to sit where an interaction or agent action can be evaluated.
The Repello approach
ARGUS applies configured guard policies to connected application interactions. Workstation Lens can block covered agent actions on managed devices. Together they provide policy outcomes and session context for investigation.
How Repello helps
Stop covered device actions
Use Workstation Lens policies to block prohibited commands, resource access, or outbound transfers in supported agent sessions.
Apply policies where AI acts
Configure rules for connected applications or covered workstation actions at the relevant enforcement point.
Investigate the policy decision
Review the interaction or attempted action, session context, and recorded outcome to distinguish detection from prevention.
What Repello gives your team
Know what was detected and what was stopped
A runtime event is useful only when your team can understand the attempted behavior and the actual response.
Enforce where the workflow runs
- Apply ARGUS policies to connected application interactions.
- Restrict covered commands, resources, and destinations in managed-device sessions.
- Tune rules for each workflow instead of relying on a blanket response.
Investigate the recorded outcome
- See the interaction or action that triggered the policy.
- Distinguish an alert from a confirmed block.
- Check adversarial and legitimate behavior before wider rollout.
Frequently asked questions
What to know before deployment.
Where does Repello enforce AI runtime policies?
ARGUS applies guard policies to connected AI application interactions. Workstation Lens controls covered agent actions in supported sessions on managed devices. The right enforcement point depends on where your workflow runs.
What threats can runtime policies address?
ARGUS evaluates supported prompt injection, unsafe content, and application policy violations. Workstation Lens can restrict covered commands, resource access, and outbound destinations. The available response depends on the integration and policy you configure.
Can Repello stop an unsafe action before execution?
Yes, when an active blocking policy covers the action at a supported enforcement point. Workstation Lens can stop covered device actions before execution; ARGUS can enforce guard policies on connected application interactions.
How do we know whether a threat was flagged or blocked?
Review the policy event and its outcome. ARGUS records the application interaction; Workstation Lens provides relevant agent-session context. An alert means the behavior was detected, while a blocked outcome confirms enforcement.
Can each application have its own guard policy?
Yes. ARGUS supports context-aware policies for connected applications. Define what each application may reveal or do, then test the rule against both prohibited and legitimate interactions before expanding it.
How can we test guardrails without blocking valid work?
Start with a defined workflow and controlled test interactions, including both attacks and legitimate requests. Use ARTEMIS findings to inform the policy, then review ARGUS outcomes and false positives before a broader rollout.
See Repello in action
Get a personalized Repello demo.
Bring a workflow and a rule you need to enforce. See the live policy decision and the evidence your team can investigate.