How can SMBs detect if AI security for SMBs has already been compromised?

Detecting compromised AI security for SMBs requires monitoring for specific warning signs: unexplained network traffic increases (especially to unusual geographic locations indicating data exfiltration), system performance degradation without obvious cause, unusual login attempts or authentication failures, vendor security notifications about your IP address appearing in threat intelligence, alerts from managed security providers about anomalous behavior, and employees reporting unusual system behavior.

The challenge for AI security for SMBs is that AI-powered attacks often operate stealthily—average breach discovery time is 207 days for SMBs without managed security versus 3-6 hours with 24/7 monitoring. If you suspect compromised AI security for SMBs, immediately contact a cybersecurity incident response team rather than investigating internally, as self-investigation may alert attackers or destroy forensic evidence needed for recovery and insurance claims.