From suspicious behavior to response evidence.
AI Wall is designed to identify ransomware-like patterns, interrupt risky activity, alert admins, and preserve a timeline that humans can understand.
Endpoint → encrypted API → portal → alerts
File contents are not uploaded for normal monitoring. The agent reports security events, machine status, license state, and policy-relevant metadata.
Practical signals, not hype.
AI Wall uses behavioral signals, policy rules, canary files, and anomaly detection to identify suspicious activity. The goal is not to guess everything. The goal is to raise useful, defensible alerts and interrupt high-risk behavior fast enough to matter.
A readable chain of events.
Suspicious process starts
The endpoint notices script behavior, unusual file access, or suspicious process activity.
Canary or protected path is touched
Canary files and monitored directories create early-warning signals before broad business data damage.
Policy response triggers
The agent can interrupt the process, isolate the endpoint, or raise an alert depending on configured policy and confidence.
Admin receives evidence
The portal and email alert show the machine, time, event type, and response action.
Human review and recovery
Admins review the timeline, confirm whether the event was malicious, and restore normal operation if safe.
Built for professional evaluation.
Designed to interrupt
AI Wall is designed to detect and interrupt ransomware-like behavior before widespread damage occurs.
Canary-based early warning
Canary-based detection helps identify encryption activity before normal business files are broadly affected.
Evidence over mystery
Events are logged so admins can explain what happened, what was blocked, and what still needs review.