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System predicts 85 percent of cyber attacks using input from human experts | KurzweilAI

System predicts 85 percent of cyber attacks using input from human experts | KurzweilAI

Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the machine-learning startup PatternEx have developed an AI platform called AI2 that predicts cyber-attacks significantly better than existing systems by continuously incorporating input from human experts (AI2 refers to merging AI with “analyst intuition”:  rules created by living experts).

The team showed that AI2 can detect 85 percent of attacks —about three times better than previous benchmarks — while also reducing the number of false positives by a factor of 5.

Source: System predicts 85 percent of cyber attacks using input from human experts | KurzweilAI