System predicts 85 percent of cyber attacks using input from human experts
April 25, 2016
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 —… read more