AI Threat Signals aggregates subtle data points — like login timing, access volume, and application behavior — to identify signs of silent breaches. It combines machine learning with behavioral baselines to surface threats traditional tools often miss. The platform delivers rapid notifications with suggested next steps, reducing the response time significantly. Alerts are grouped and contextualized to avoid overwhelming your team with noise. This system works invisibly in the background, always scanning for early warning signs.