MIT shows how AI cybersecurity excels by keeping humans in the loop
Image: MIT’s CSAIL Cybersecurity threats are among the most pressing concerns for businesses and institutions that need to protect information, but today’s security systems are limited. Most security systems fall into two categories: human analyst or machine learning. Now, a new research paper from MIT shows that a combination of human experts with a machine learning system—in other words, supervised machine learning—provides better results than either human or machine alone. More about IT Security “AI squared,” which uses a system developed by PatternEx, is 10 times better at catching threats than machine learning alone, and reduces false positives by a factor of five. This, said MIT’s researchers, is three times better than current benchmarks. The name, AI squared, comes from the combination of two ideas, said Ignacio Arnaldo, former CSAIL…
Link to Full Article: MIT shows how AI cybersecurity excels by keeping humans in the loop
MIT shows how AI cybersecurity excels by keeping humans in the loop
