Artemis, a new cybersecurity startup, emerged from stealth after raising $70 million to deploy an AI-first approach to detecting and responding to AI-powered cyberattacks. The company says it continuously models what “normal” looks like inside a business, then stitches together signals to identify anomalies and potentially shut down attacks earlier. The pitch comes as multiple reports emphasize that AI can help attackers operate at machine speed—outpacing traditional security workflows. Artemis positions its approach as an automated “story of what’s happening” rather than a flood of alerts. Higher education institutions—especially those handling sensitive research data and student records—may treat such tools as part of a broader effort to reduce time-to-detection and time-to-response when AI escalates threat cycles.